Category Archives: Data Mining
What UAE jobs will be in demand for the next 10 years? Find out – Gulf News
Dubai: Want to be working in the most in-demand roles in the UAE? Theres good news if you love working with programming softwares, data and technology.
The jobs in the UAE, in the next 10 years, will focus largely on Artificial Intelligence, Machine Learning, and automation, based on a list posted by Ministry of Human Resources and Emiratisation (MOHRE) recently.
On January 6, the Ministry took to its social media channels to highlight the jobs that would be in demand in the UAE, with the post reading: The UAE labour market is undergoing constant changes as a result of rapid technological developments and modern techniques. What will the UAE jobs be for the next 10 years?
Gulf News spoke to recruitment specialists in the field of technology to understand what each role means and the skills you would need to succeed in such jobs.
As per Billy Bilton, Senior Recruitment Consultant at HAYS Technology, with most of the job roles focusing on Artificial Intelligence, Machine Learning and Data science and analysis, the most popular fields are that of mathematics, physics, computer science and statistics.
A lot of companies are becoming more digitally focused and more brick-and-mortar companies are becoming accessible online. More companies have access to different data tools and artificial intelligence and are developing products and platforms, which use algorithms that are based on metadata analytics and machine learning. For most of these jobs, you would need some kind of a quantitative and analytical background, where you have the skills needed to analyse and gather structured and non-structured data. The ideal candidate who would have a good understanding of different data modules and techniques like deep learning, reinforcement learning and machine learning, Bilton said.
- Billy Bilton, Senior Recruitment Consultant at HAYS Technology
He added that qualifications for such jobs could include a PhD in computer science, physics, cybernetics, chemistry or robotics.
It is a range most clients would expect a degree in one of these and then prefer a masters or PhD in further learning, he added.
1. Scientists
In the list of occupations, the first role highlighted by MOHRE was that of scientists.
2. Data analysts
The second occupation on the list posted by MOHRE was that of a data analyst. As per Bilton, this role would require an applicant to have in-depth knowledge of Software programming, programming in languages such as SQL (Structured Query Language), XML (Extensible Markup Language) and JavaScript (another programming language).
3. Machine learning specialists
Speaking about the role of a Machine Learning specialist, Bilton said applicants for such job roles would need knowledge of Artificial Intelligence frameworks like TensorFlow or PyTorch, in order to develop algorithms and for software programming.
An understanding of the cloud computing world is also preferred, he added.
4. Artificial intelligence specialists
This would refer to someone who can build AI functionally into software applications someone who can integrate and implement AI algorithms and have knowledge of different technologies and strategies and a good knowledge of data science, Bilton said.
5. Ecommerce and strategies specialists
While this role would require someone to have an understanding of online sales strategies, it would also overlap with a background in computer science.
This will be someone who is going to be an expert in online sales strategies and knows how to work on various platforms involved in digital transformations as well. So, a degree in online sales and marketing would be ideal, but also a background in computer science, as they need to work with technical development, branding and design teams, Bilton said.
6. Big data specialists
This role would also require data gathering, sorting and analysis, but at much larger scales whether it is the customer base of a multinational brand or a countrys demographic.
This candidate would need to analyse big chunks of data, so a bachelors degree in computer science or information management would be required, and may require the candidate to have experience in a data centric or analytical industry, Bilton said.
While you would need to deal with data models and database design, an important skill that you would need, according to Bilton, is data mining and segmentation techniques.
Then, you would need to have an understanding of the programming side of things, which would be SQL, XML and Javascript. This person would ideally be coming from a statistics or an analytical background, he said.
High demand
With most companies headed in the direction of automation and technology, these are the industries where the money is being invested, said Jeron Van Den Elshout, the Assistant Vice President of AIQU, a specialised tech recruitment agency.
Many companies are investing heavily in machine learning and data analytics and this trend is only expected to grow in the coming years. Equipping machines with the ability to learn from data not only enables them to automate tasks and improve productivity but it also helps optimise data insights. And as we know, data drives business decision-making today, he told Gulf News.
- Jeron Van Den Elshout, the Assistant Vice President of AIQU, a specialised tech recruitment agency.
There is a growing need for data scientists and analysts to help navigate a disruptive marketplace, governed by big data. This is why demand for roles like Data Analysts, Data Engineers and Machine Learning Specialists are skyrocketing, ranking highly amongst the most in-demand jobs in todays workforce, he said.
Building a skill set for future jobs
Elshout added that, in general, data scientists and engineers would have related degrees with a software development component in either statistics, mathematics, engineering as a base or a course in programming languages like SQL, or data visualisation softwares like Tableau, power BI or the MS stack set of application tools.
Careers in data science offer a wide variety of job roles and titles from Data Architect, Data Engineers, Data Analysts and Data Scientists. They are required to continuously upskill their technical skills to stay up to date and with relevant expertise in programming languages they tend to get recruited in high paying roles. Machine Learning, on the other hand, falls under Artificial Intelligence as a subset and the degrees between the two are often interchangeable. These would be people who have worked with analytics statistics, mathematics, engineering to formulate models that can be used to code language that the machine then uses to learn from big data, he added.
Continue reading here:
What UAE jobs will be in demand for the next 10 years? Find out - Gulf News
Kansas State University: Your journey to leading in a data-driven world begins here – Study International News
The power of data cannot be understated. Today, every organisation is sitting on treasure troves of information that need to be analysed and converted into better organisational practices. The process of collecting, cleaning, analysing data and interpreting findings is called data analytics, and the experts in charge of these conversions are data analysts who are just as fundamental to a businesss success as they are in demand.
How else would business owners determine which products to develop, markets to enter, investments to make and consumers to target?
Data analysts are now found in various industries, such as business, finance, criminal justice, science, medicine, government and more. The U.S. Bureau of Labour Statistics confirms the boom, estimating 11.5 million jobs in the data science/analytics field to be created by 2026. Up to 364,000 job listings were projected in 2020 alone.
While opportunities are seemingly endless, the proper qualification will always be vital to measuring up. IBM confirms that nearly 40% of the openings in advanced data analytics require a masters degree or higher. According to PayScale, data analytics graduates command an average base salary of US$80,000 annually a figure sure to skyrocket with seniority. Despite attractive numbers, the fact remains with a job growth rate of 8.6%, there are more data-focused job opportunities today than graduates.
Kansas State Universitys (K-State) College of Business Administration has a STEM-designated Master of Science in Data Analytics designed to fill the skills gap quickly, effectively and in an interdisciplinary manner. To ensure the 30-hour programme is as comprehensive as can be, the college has partnered with K-States departments of computer science, economics, geography, industrial manufacturing systems engineering, mathematics and statistics.
Source: Kansas State University, College of Business Administration
The result? One robust, collaborative curriculum providing learners with the skills and knowledge needed to land lucrative, secure, future-focused careers. These professions typically revolve around providing companies with scientific and systematic methods of effective decision-making.
Nurturing these competencies are the required courses of: Programming Techniques for Data Science & Analytics, Intro to Econometrics, Big Data Analytics, Information Technology Strategy and Application, Business Analytics and Data Mining, Social Media Analytics and Web Mining, as well as Applied Marketing Analytics.
The Master of Science in Data Analytics offers two tracks: data science and applied analytics. Each comes with its own set of electives. Both line-ups were structured to provide maximum flexibility to complement academic backgrounds and accommodate professional goals.
The data science track offers electives in artificial intelligence, machine learning, pattern recognition, information retrieval, text mining, quantitative problem-solving techniques, the mathematics of data and networks, categorical data analytics, and more. The applied analytics track unlocks a breadth of knowledge in accounting analytics, economic forecasting, financial modelling, geographic information systems, internet GIS, geocomputation and advanced marketing analytics, amongst others.
Both paths lead learners toward bridging the gaps between data science, analysis skills and business management with confidence. Experiential learning opportunities make this possible. Throughout their programme, students also form enduring professional connections through course projects and research opportunities all over the state of Kansas.
The best part? They get a glimpse into their futures by rubbing shoulders with some of the industrys finest. The Graduate Studies Advisory Council is a Kansas State University hallmark that provides learners with countless opportunities to connect with executives from AT&T, Oracle, Textron Aviation, BNSF Railway, Steel & Pipe Supply Co., CSCS, AIB, ETC Institute, Civic Plus and more.
Engagement within the K-State community can be just as exciting. The College of Business Administration is home to an impressive line-up of academic advisors and career coaches ready to provide one-to-one support to learners excited to strategise their journey to success, much like the graduates before them once did 97% of which have successfully secured employment. Positions in more than 15 student organisations are also ready to be occupied by those keen on getting connected, exhibiting leadership or building their network.
If youre keen to fast-track a lucrative career in our data-driven world, learn more about the Master of Science in Data Analytics.
Follow Kansas State University on Facebook, Twitter, Instagram, YouTube and LinkedIn
Link:
We trust cameras to record our memories. But they need to understand what life really looks like – ZDNet
Ever since digital cameras and smartphones came along, we've been taking more pictures than we can easily manage, but often we still don't have photos of moments we want to remember, either because we're busy enjoying them or because some people tend to take the photos rather than being in them. That's what lifecams promise to take care of.
The point of having a camera that takes pictures for you isn't to replace the kind of carefully composed images where you think hard about the picture you want to take. It's more about capturing moments of your life and leaving you free to enjoy them without thinking about pulling out the camera. If you want to document your life in detail to help you remember it in the future (perhaps when your memory isn't as good as it once was), or if you're always the person taking the photos and never the person getting their photo taken, the idea might seem appealing.
There are potential privacy issues of having an always-on device snapping away without warning, as well as the etiquette questions around whether you warn visitors and give them the option not to be on candid camera. These are much like the issues with smart glasses disguised as ordinary sunglasses, which make many people feel uncomfortable and the many photos and videos of, say, 'cheese-and-wine' parties that we've all been poring over in recent weeks underline the reasons why having photos automatically snapped when someone is doing something interesting isn't always a good thing.
SEE: Your cybersecurity training needs improvement because hacking attacks are only getting worse
And what about retrieving a photo you didn't know you had because you didn't take it? Will all your friends (and data regulators around the world) be comfortable with not just facial recognition but the other data mining you'd need to do to be able to bring up a photo of Aunt Beryl sitting at your kitchen table on a summer afternoon some time in the past 10 years?
Do you want the camera to know about the weather outside with a feed from your smart weather station, be able to sniff which phones are connected to your home Wi-Fi or to sample the air in the kitchen (because smell is one of the most evocative senses, you might remember that you were baking cookies more easily than what year it was)? How about tracking down someone whose name you don't remember?
The question of what makes an interesting photo is also a little fraught, because to be useful, these lifecams need software good enough to pick out the worthwhile images from the hundreds of dud snaps of people turning away, blinking or just sitting there. Think of never being sure whether you're not able to find a photo of a memorable day because you haven't got the right search terms or because the AI didn't detect anything worth taking a picture of.
The technical term for 'interesting' is saliency, and saliency algorithms have bias that we're only just starting to look at. When you look at a picture, you don't look at the whole picture at once: your eye goes to what your brain sees as most interesting. Google uses that as the basis of its new image format, where the part of the image that a machine-learning model predicts is most interesting downloads first: the flower rather than the leaves around it, the eyes and mouth rather than the wall behind someone's head.
Google's machine-learning models learn what we look at in pictures, but that gaze can have bias.
The saliency models that decide what part of the image to download first or how to automatically crop an image without losing visual impact or what photos to take in the first place are directing your gaze as well as responding to what people look at first. As many of us have noticed from endless video meetings over the past 18 months, we tend to look at other people's faces first, but if you see a photo of someone looking at something, you'll look at what they're looking at.
And like many machine-learning models trained by just looking at what people say and do, saliency models encode all the bias of those people, applied automatically, at scale. When Twitter invited researchers to see if there was a bias in its saliency-driven image-cropping algorithm, it found so many problems that instead of trying to redesign the algorithm it's just getting rid of automatic cropping. The research that won the bug bounty shows the algorithm thinks that young, thin, pretty, white, female faces matter the most. Make someone's skin lighter and smoother, make their face look slimmer, younger, more stereotypically feminine and generally more conventionally attractive and the algorithm will crop the photo to highlight them. It tends to cut out people with white hair, as well as people in wheelchairs.
That means, if we're using smart cameras to capture photos of what matters in our lives, we need to make sure that it is not trained to ignore grandparents, friends in wheelchairs or anything else that doesn't match who and what we've accidentally taught it to look at and value because we might not realise until we look through those photos, months or years or decades later.
Excerpt from:
ThingSpeak: Ensuring Coal Mining Safety with Internet of Things Solutions – AZoMining
Coal mining is one of the most dangerous occupations, historically claiming the lives of hundreds of thousands of coal miners. Although fatalities in coal mining are at an all-time low, this industry still presents its workers with conditions that can have detrimental effects on their health.
Image Credit:Parilov/Shutterstock.com
One of the main causes for concern is the production of toxic gases within the underground tunnels of a mine, which is simply a by-product of mining. Due to the health implications, the aim of many mining companies is to ensure that their workers do not encounter these gases and that mines can be evacuated as soon as they become too hazardous. ThingSpeak provides a viable internet-of-things (IoT) solution for the integration of various sensors to detect hazardous scenarios.
When working in a mine there are many potential hazards, including thermal stress. Exposure to extreme heat and humidity can cause fatigue, heatstroke, as well as exacerbate other health conditions. Heat and humidity fluctuations are common in mines due to being underground with few channels for heat and hot air to escape.
Another common occupational hazard here is that of chemical exposure. Some of these chemicals are those that miners work with, whilst others are the natural gases that come directly from the surrounding environment. Some of the most toxic of these gases are carbon monoxide, hydrogen sulfide, and methane. Once inhaled, these gases can cause long-lasting respiratory problems, reduced oxygen flow, and in the most severe cases, death.
ThingSpeak is a IoT analytics platform designed to collect, analyze and visualize live data from numerous sensors via the Cloud. IoT platforms such as this are designed to allow data to be transmitted over the internet from multiple sources, leveraging technologies such as smart devices and cloud connectivity.
What makes ThingSpeak suitable for monitoring conditions within a mine is its ability to both visualize and analyze various data streams in real-time. With the increasing availability of cloud computing power and decreasing cost, IoT solutions such as ThingSpeak are providing reliable and cost-effective ways of continuous monitoring sensor data.
ThingSpeak can also be fine-tuned for specific domains. In the case of coal mining, this would mean integrating algorithms that can determine the conditions within the mine from sensor data to then allow those in the mine to be alerted.
Comprising of several parts, the SRM Institute of Science and Technology has proposed an IoT system to monitor conditions within coal mines.
As an overview of this system, there are various sensors that come together to a device known as NodeMCU. This device is then able to transmit and receive data from the ThingSpeak platform. There is a buzzer and LED attached to NodeMCU acting as the main system for alerting nearby miners of any hazards.
The main interface of the system uses the Ardunio Integrated development environment (IDE), which is a low-cost IDE commonly used for robotics and hardware engineering projects. The Arduino IDE provides a console for imputing commands to the system while also providing a way of providing information coming from the system.
The central component of the system, NodeMCU, contains an ESP8266 microchip that holds a WiFi module, allowing data transfer between the system and the cloud via the internet. Connected to NodeMCU are a variety of sensors that continuously take measurements of the conditions inside the mine. The first of these is the GHT-11 sensor, which is a sensor for temperature and humidity. Another is the MQ-6, which is a multi-gas sensor, allowing the detection of hydrogen, methane, alcohol vapors (which are highly flammable), and carbon monoxide.
Another gas sensor is also used in the system, the MQ-7 sensor which detects carbon monoxide and is required due to the highly toxic nature of the gas. In addition, light-dependant resistors ensure that the lighting conditions within the mine tunnels are adequate and safe for work.
A flame sensor is also used to detect the presence of any nearby fires.
The system will use all these sensors to determine the conditions of the mine. If any of these sensors transmit values deemed to be hazardous, the system will activate a buzzer and an LED to alert those in the mine of imminent danger. As the system is connected to the ThingSpeak platform, the mines conditions can be monitored in real-time at an offsite location, with those observing the readings being able to alert those in the mine through the platform.
The overall system proposed here provides a cost-effective way of monitoring the conditions in a mine and also presents a way to collect data over extended periods of time down to the second interval. Having data such as this provides a way for those responsible for mine safety to analyze and possibly predict how conditions could change in different areas of the mine, increasing the safety of those within the mines.
Prabhu, D. et al. (2019) IoT Based Coal Mining Safety for Workers using Arduino. IJESC. https://ijesc.org/upload/8e5c382df1c15740a9ca1f1e42d809f6.IoT%20Based%20Coal%20Mining%20Safety%20for%20Workers%20using%20Arduino.pdf
U.S. Bureau of Labor Statistics. (2010)Injuries, Illnesses, and Fatalities in the Coal Mining Industry. [Online] Available at:https://www.bls.gov/iif/oshwc/osh/os/osar0012.htm
Brandon Gaille (2019)26 Coal Mining Industry Statistics, Trends & Analysis. [Online] Available at:https://brandongaille.com/26-coal-mining-industry-statistics-trends-analysis/
KaaIoT Technologies. What is an IoT platform? [Online] Available at:https://www.kaaiot.com/blog/what-is-iot-platform
ThingSpeak. [Online] Available at:https://thingspeak.com/
Dr. R. Bhuvaneswari. et al.(2021) Design of coal mining safety monitoring and alerting system based on IOT.Paideuma Journal.https://paideumajournal.com/gallery/46-may2021.pdf
Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.
View post:
ThingSpeak: Ensuring Coal Mining Safety with Internet of Things Solutions - AZoMining
Europe Mining Vehicle Market growth Possibilities, Analysis and Forecast To 2027 Industrial IT – Industrial IT
Mining Vehicle Market 2022-2027:
The Global Mining Vehicle market exhibits comprehensive information that is a valuable source of insightful data for business strategists during the decade 2017-2027. On the basis of historical data, Mining Vehicle market report provides key segments and their sub-segments, revenue and demand & supply data. Considering technological breakthroughs of the market Mining Vehicle industry is likely to appear as a commendable platform for emerging Mining Vehicle market investors.
The complete value chain and downstream and upstream essentials are scrutinized in this report. Essential trends like globalization, growth progress boost fragmentation regulation & ecological concerns. This Market report covers technical data, manufacturing plants analysis, and raw material sources analysis of Mining Vehicle Industry as well as explains which product has the highest penetration, their profit margins, and R & D status. The report makes future projections based on the analysis of the subdivision of the market which includes the global market size by product category, end-user application, and various regions.
Get Sample Report: https://www.marketresearchupdate.com/sample/348422
This Mining Vehicle Market Report covers the manufacturers data, including shipment, price, revenue, gross profit, interview record, business distribution, etc., these data help the consumer know about the competitors better.
Topmost Leading Manufacturer Covered in this report:Toyota, PAUS GmbH, Cat, Damascus Corporation, Classic Motors, MINECAT, Marcotte Mining, NPK, Artisan, Paus, Getman Corporation, BKT Tires, Mining Technology, Fermel, InterClean, BAS Mining trucks, Astec Industries Inc, ASI Robots, Allison Transmission, Liebherr, Vulcan, VBOX Mining
Product Segment Analysis: Land CruiserUnderground VehicleOthers
On the Basis of Application:MiningConstructionOthers
Get Discount @ https://www.marketresearchupdate.com/discount/348422
Regional Analysis For Mining VehicleMarket
North America(the United States, Canada, and Mexico)Europe(Germany, France, UK, Russia, and Italy)Asia-Pacific(China, Japan, Korea, India, and Southeast Asia)South America(Brazil, Argentina, Colombia, etc.)The Middle East and Africa(Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)
The objectives of the report are:
To analyze and forecast the market size of Mining VehicleIndustry in theglobal market. To study the global key players, SWOT analysis, value and global market share for leading players. To determine, explain and forecast the market by type, end use, and region. To analyze the market potential and advantage, opportunity and challenge, restraints and risks of global key regions. To find out significant trends and factors driving or restraining the market growth. To analyze the opportunities in the market for stakeholders by identifying the high growth segments. To critically analyze each submarket in terms of individual growth trend and their contribution to the market. To understand competitive developments such as agreements, expansions, new product launches, and possessions in the market. To strategically outline the key players and comprehensively analyze their growth strategies.
View Full Report @ https://www.marketresearchupdate.com/industry-growth/mining-vehicle-market-trends-2022-2027-348422
At last, the study gives out details about the major challenges that are going to impact market growth. They also report provides comprehensive details about the business opportunities to key stakeholders to grow their business and raise revenues in the precise verticals. The report will aid the companys existing or intend to join in this market to analyze the various aspects of this domain before investing or expanding their business in the Mining Vehicle markets.
Contact Us:[emailprotected]
Go here to read the rest:
HotSpot Therapeutics and Caris Life Sciences Announce Collaboration to Advance Precision Medicine Development for Difficult-to-Drug Therapeutic…
BOSTON, Jan. 10, 2022 /PRNewswire/ --HotSpot Therapeutics, Inc., a biotechnology company pioneering the discovery and development of first- and best-in-class allosteric therapies targeting regulatory sites on proteins referred to as "natural hotspots," and Caris Life Sciences (Caris), the leading molecular science and technology company actively developing and delivering innovative solutions to revolutionize healthcare, today announced a strategic partnership to advance precision medicine approaches for HotSpot's emerging product portfolio. The partnership will focus initially on twotherapeutic programs, the first of which is HotSpot's novel allosteric inhibitor of the E3 ubiquitin ligase CBL-B, an important target in cancer immunotherapy, spanningfrom pre-First in Human (FIH) trials through potential Companion Diagnostics (CDx) and launch.
"HotSpot's Smart Allosterydrug discovery platform is built on AI-enabled technologies unlocking a cutting-edge pipeline of small molecules designed against difficult-to-drug or yet to be drugged targets in cancer and autoimmune disease," said Jonathan Montagu, Co-Founder and Chief Executive Officer of HotSpot Therapeutics."Access to Caris' comprehensive suite of tissue and liquid profiling, real-world data, and broader capabilities will enable robust interrogation of large datasets to accelerate our drug development efforts. This collaboration will yield data-informed insights to inform and speed clinical development and rapidly deliver new treatment options to patients."
Since the launch of its molecular profiling service in 2009, Caris has amassedmolecular dataon more than 356,000 patients and clinical outcomes on more than 275,000 patients. Insights gained from Caris' best-in-class real-world clinico-molecular matched database will be leveraged to optimize HotSpot's development programs, including cohort design, biomarker strategy, and future CDx needs and strategies. Under the terms of the agreement, patients enrolled in HotSpot's Phase 1 through Phase 3 trials will undergo longitudinal testing with Caris' comprehensive tissue and liquid molecular profiling analysis. Through their combined expertise and innovative technology platforms, Caris and HotSpot will work together to bring forward novel treatment options that maximize benefits to patients.
"Our partnership with HotSpot Therapeutics aligns with our organizations' shared passion to bring comprehensive data to bear for patients and amplify our impact on precision medicine," said David Spetzler, M.S., Ph.D., MBA, President and Chief Scientific Officer of Caris."Our breadth and depth of whole exome and whole transcriptomesequencing will provide important information at the individual patient level both in tissue and in blood, and the amount of actionable data generated per patient from HotSpot's studies will be unprecedented, potentially translating into smarter trials and an acceleration of benefit to patients."
In addition to the commitment to profiling and real-world data insights, Caris is granted negotiation rights for CDx programs of partnership therapeutic programs. While detailed partnership financial terms have not been disclosed, the financial commitment is based on program specifics and has the potential to exceed $40M if programs progress through regulatory approval and additional milestones are met.
About HotSpot Therapeutics
HotSpot Therapeutics is targeting naturally occurring pockets on proteins called "natural hotspots" that are decisive in the control of cellular protein function. Largely unexploited by industry, these pockets are highly attractive for drug discovery and enable the systematic design of highly potent and selective small molecules that exhibit novel pharmacology. The Company's Smart Allostery technology platform utilizes AI-driven data mining of large and highly diverse data sets to identify pockets that matter on proteins, integrated with a tailored pharmacology toolkit and bespoke chemistry to rapidly deliver superior hotspot-targeted small molecules. The Company has successfully exploited natural hotspots across multiple classes, including E3 ligases, kinases, and transcription factors. HotSpot has established a product pipeline of rst-in-class small molecules for the treatment of cancer and autoimmune diseases, each enabled by precision and patient-targeted clinical design. To learn more, visitwww.hotspotthera.comor follow us on Twitter (@hotspotthera).
About Caris Life Sciences
Caris Life Sciences(Caris) is the leading molecular science and technology company actively developing and delivering innovative solutions to revolutionize healthcare and improve patient outcomes. Through comprehensive molecular profiling (Whole Exome and Whole Transcriptome Sequencing) and the application of advanced artificial intelligence (AI) and machine learning algorithms, Caris has created the large-scale clinico-genomic database and cognitive computing needed to analyze and unravel the molecular complexity of disease. This information provides an unmatched resource and the ideal path forward to conduct the basic, fundamental research to accelerate discovery for detection, diagnosis, monitoring, therapy selection, and drug development to improve the human condition.
With a primary focus on cancer, Caris' suite of market-leading molecular profiling offerings assesses DNA, RNA, and proteins to reveal a molecular blueprint that helps patients, physicians, and researchers better detect, diagnose, and treat patients. Caris' latest advancement, which is currently available within its Precision Oncology Alliance, is a blood-based, circulating nucleic acids sequencing (cNAS) assay that combines comprehensive molecular analysis (Whole Exome and Whole Transcriptome Sequencing from blood) and serial monitoringmaking it the most powerful liquid biopsy assay ever developed.
Headquartered in Irving, Texas, Caris has offices in Phoenix; New York; Denver, Tokyo, Japan; and Basel, Switzerland. Caris provides services throughout the U.S., Europe, Asia, and other international markets. To learn more, visitCarisLifeSciences.comor follow us on Twitter (@CarisLS).
View original content to download multimedia:https://www.prnewswire.com/news-releases/hotspot-therapeutics-and-caris-life-sciences-announce-collaboration-to-advance-precision-medicine-development-for-difficult-to-drug-therapeutic-targets-301456625.html
SOURCE HotSpot Therapeutics
Read more here:
The WHO’s New Pandemic Center Isn’t Ready for Action – Foreign Policy
Last September, Germanys soon-to-be-retired chancellor, Angela Merkel, inaugurated a new World Health Organization (WHO) hub in Berlin that has one main mission: preventing another pandemic from spreading the way COVID-19 did. The then-chancellor said during the COVID-19 pandemic, experts from around the world have been expanding their knowledge at an incredible rate and sharing it to decode the coronavirus.
Merkel cut the ribbon in front of the new center alongside Tedros Adhanom Ghebreyesus, the World Health Organizations director-general. She did so in front of a gray wall with the centers name on a plaque, saying: The WHO Hub for Pandemic and Epidemic Intelligence was inaugurated on 1 September 2021. However, what they really inaugurated was a fake slab of concrete propped up in the middle of a Berlin event venue.
Although the glamorous event, attended by top names in global health, government, and other sectors, celebrated the opening of the WHOs new venture, it was mostly just for show. The new hubs mission is admirably ambitious. But its unclear how a highly political and notoriously bureaucratic international organization will succeed in implementing whats being billed as a startup-style project.
Last September, Germanys soon-to-be-retired chancellor, Angela Merkel, inaugurated a new World Health Organization (WHO) hub in Berlin that has one main mission: preventing another pandemic from spreading the way COVID-19 did. The then-chancellor said during the COVID-19 pandemic, experts from around the world have been expanding their knowledge at an incredible rate and sharing it to decode the coronavirus.
Merkel cut the ribbon in front of the new center alongside Tedros Adhanom Ghebreyesus, the World Health Organizations director-general. She did so in front of a gray wall with the centers name on a plaque, saying: The WHO Hub for Pandemic and Epidemic Intelligence was inaugurated on 1 September 2021. However, what they really inaugurated was a fake slab of concrete propped up in the middle of a Berlin event venue.
Although the glamorous event, attended by top names in global health, government, and other sectors, celebrated the opening of the WHOs new venture, it was mostly just for show. The new hubs mission is admirably ambitious. But its unclear how a highly political and notoriously bureaucratic international organization will succeed in implementing whats being billed as a startup-style project.
More than three months after the hubs inauguration, it is hardly operational. A handful of employees, mostly contractors, initially worked from a temporary office in Berlin, but are now working from Geneva or at their homes elsewhere in the world as they wait for their permanent office to be opened.
One key piece of the new hubs puzzle, however, has at least been found: the head of the new venture. Chikwe Ihekweazu, a Nigerian epidemiologist who has previously acted as the head of Nigerias Centre for Disease Control, is in charge and currently lives in both Berlin and Geneva to get this ambitious project started. Ihekweazu has lived and studied in Germany in the past, so he was a natural candidate to lead the project.
We are trying to solve a global problem, Ihekweazu said in an interview at his Berlin office in late November. We are part of a global member state organization, and we have to deliver value to those member states.
For Ihekweazu, the hubs biggest challenge will likely be political, meaning making sure the hub gets data from as many countries and agencies as possible, a key feature and problem of WHO internal dynamics.
Axel Pries, dean of the board of Charit hospital in Berlin, a strategic partner of the hub, also believes the biggest challenge is going to be political rather than technical: The WHO is the worldwide entity for health, but its not a ruling entity, he said. It has to rely extremely on the willingness of individual member states to adapt to certain standards like international data exchange formats.
At the September 2021 event, Germanys then-minister of health, Jens Spahn, made the new WHO venture sound partly like a startup and partly like a WHO office. Maike Voss, managing director at the German Alliance for Climate Change and Health, agrees the hubs persona fits the city its based in. The narrative around the hub is very techie, which fits Berlin, with the techy start-up scene, which is very pushed by also the German [former] health minister, [who is] very into these kinds of topics and digitalization, Voss said.
Viruses move fast, but data can move even faster, Ghebreyesus tweeted when the hub was opened. To ensure the flow of data beats the next virus, artificial intelligence (AI) and quantum computing can be useful to gather and organize key data. However, people involved in the hub recognize its currently unclear as to how they will go about using these new technologies and what specific ones can be used. The hub is supposed to be equipped with a supercomputer, but no such technology is yet available to them.
Johanna Hanefeld, head of the Centre for International Health Protection at the Robert Koch Institute, Germanys equivalent of the U.S. Centers for Disease Control and Prevention and another strategic partner, believes using new technologies will be essential: I think there is a lot of potential in using AI methods for data mining because we have these large-scale data, she said. All these data sciences are developing rapidly. I think the computational aspects of that really have a massive potential.
The hubs director has a more traditional vision of what the center will do. When he was approached to lead the venture, he said, if this is going to be something in Berlin that is going to use artificial intelligence by suckering data from different sources and coming up with magical solutions, Im probably not the right guy for the job. Yet, he got the job.
The WHO intends to use the hub to gather information about disease incidence and combine it with information about the context the data was sourced from to gain a more complete understanding of risk, creating an opportunity for better, more informed policies and decisions, according to a pamphlet on the project. The document emphasizes the terms collaborative intelligence and multidisciplinary approach. Although some centers use similar approaches around the globe, its a first for the WHO, a United Nations specialized agency with some (though limited) political clout.
To succeed in that approach, the hub will need experts from a wide range of disciplines, which is something it doesnt have yet, Voss said. People implementing the hub in Berlin are very technical, very epidemiological, and not so much social scientists. Political scientists, they have so far none. I think that that can be a problem, she said, adding that a lot of the hubs work is going to rely on social science. The center hasnt started hiring yet, and no job postings are available on the WHOs website as of January 2022.
For the hubs director, the more the team builds up, the more diversified its going to be. We will have a core group of people working on the different data streamsfrom epidemic intelligence, from open sources (information on clusters of deaths), intelligence from pathogens from viruses, bacteria that are emerging new variants, and things like that, Ihekweazu said. Our traditional surveillance data streams and then all the other newer streams we are hoping to bring infrom animal health, from weather, from behavior, from the political context.
For those in Berlin who have worked on developing the new WHO project, the hope is its only a starting point. There will be a training aspect to this, so it will be a center of excellence, Hanefeld said. It will network with partners. I think its also been about looking at if you want to draw pandemic and epidemic intelligence, what are the capacities that you need, including at the national level.
Despite all the resources and investments put into the hub, Sakiko Fukuda-Parr, a professor of international affairs at the New School in New York City, believes the idea even has its limit. As a social scientist, she has studied pandemic preparedness, and through COVID-19, she learned there is no correlation between being prepared and lower mortality rates.
I realize that surveillance capacity using high-tech equipment and analytics is important, Fukuda-Parr said. But what I cant get away from is the fact that our understanding of pandemic preparedness is much too narrow and needs to look at the social and political determinants of contagion that would show the critical role of low-tech interventions like contact tracing/testing/quarantine and state capacity in public health, especially primary health care.
More here:
The WHO's New Pandemic Center Isn't Ready for Action - Foreign Policy
Global Bagging Equipment Market Research and Forecast -2030 | Automated Packaging System, Techno Weigh Systems, Rennco Industrial IT – Industrial IT
Understand the influence of COVID-19 on the Bagging Equipment Market with our analysts monitoring the situation across the globe.
Market Strides published report titled Bagging Equipment Market By Type, By Application, Regional Analysis, Growth Opportunity and Industry Forecast 2022-2030. The Bagging Equipment Market Report provides a comprehensive overview including Current scenario and the future growth prospects. The Bagging Equipment market report analyzes the various factors and trends in forthcoming years and key factors behind the growth and demand of this market is analyzed detailed in this report.
Some of the prominent players in the global Bagging Equipment market are Automated Packaging SystemTechno Weigh SystemsRenncoInnovative Packtech MachinesE-Pak MachineryPOWERVAC
Our research methodology constitutes a mix of secondary & primary research which ideally starts from exhaustive data mining, conducting primary interviews (suppliers/distributors/end-users), and formulating insights, estimates, growth rates accordingly. Final primary validation is a mandate to confirm our research findings with Key Opinion Leaders (KoLs), Industry Experts, Bagging Equipment includes major supplies & Independent Consultants among others.
The Bagging Equipment market is segmented on the basis of type, application, end-use industry, and region & country.
Manual Bagging EquipmentAutomatic Bagging EquipmentSemi-Automatic Bagging EquipmentBagging Equipment markets sub-segment is expected to hold the largest market share during the forecast period. The growing concern about the market and industry is expected to boost the Bagging Equipment market.
Food & BeveragesPharmaceuticalsAerospace And DefenseApparel And AccessoriesOtherBagging Equipment application valves are one of the most basic and indispensable components of todays modern technological society. Market segment is expected to hold the largest market share in the global Bagging Equipment market.
North America (U.S., Canada) Europe (U.K., Germany, France, Italy) Asia Pacific (China, India, Japan, Singapore, Malaysia) Latin America (Brazil, Mexico) Middle East & Africa
Market Strides is a Global aggregator and publisher of Market intelligence research reports, equity reports, database directories, and economic reports. Our repository is diverse, spanning virtually every industrial sector and even more every category and sub-category within the industry.
Our pre-onboarding strategy for publishers is perhaps, what makes us stand out in the market space. Publishers & their market research, reports are meticulously validated by our in-house panel of consultants, prior to a feature on our website. These in-house panel of consultants are also in charge of ensuring that our website features the most updated reports only.
Market Strides have team of professionals that assist you in many advanced industry specific trends, content and tests different strategies and implements the most productive one for the business.
Bagging Equipment Market, Bagging Equipment Market 2022, Bagging Equipment Market Scope, Bagging Equipment Market Opportunity, Bagging Equipment Market Research, Bagging Equipment Market Price, Bagging Equipment Market sales, Bagging Equipment Market key regions, Bagging Equipment Manufactures, Bagging Equipment Industry Growth, Bagging Equipment Industry Revenue, Bagging Equipment Market Trends, Bagging Equipment Market Size, Bagging Equipment Market Analysis, Bagging Equipment Market Share, Bagging Equipment Market Growth, Bagging Equipment Market Demand, Industry Trends
View post:
Germany-based Miner Northern Data Reveals it Mined Over 600 BTC in 2021 Q4, Sees it Shares Rise – Yahoo Eurosport UK
The shares of crypto infrastructure provider Northern Data rose following its 2021 operational update from the company.
On Wednesday, the German mining firm announced that it mined 666 Bitcoin in the last quarter of 2021. It also mined 26,554 Ether between August and December of the same year.
With this announcement, the shares of the Frankfurt-listed company listed saw a rise of almost 8.4% 77.80 ($88). The breakdown of the update shows that it produced 5,740 Ether and 227 Bitcoins in December alone. Northern Data stated that the Ether was mined almost exclusively using renewable energy.
Northern Data is one of the top companies providing computing powers for miners. The company produces high-performance computing infrastructure for businesses. This includes the GPU and ASIC technologies needed for mining Cryptocurrencies and other high computing purposes.
Beyond that, it also develops HPC software and hardware and operates data centers. With more than 200 employees in seven countries, Northern Data has established itself as one of the global leaders in the industry.
Investors in the company include Christian Angermayers Cryptology Asset Group and Block.One. In April 2021, the company sold its data centre operations in Texas for $651 million to Riot Blockchain. 4 months later, it acquired crypto mining company Bitfield for about $450 million.
The jump in share value is a welcome development for the company after losing around $300 million in value back in October. This was a result of market manipulation complaints against the company by BaFin.
While Northern Data reported impressive mining returns, the Bitcoin hash rate reached a new all-time high on Sunday night. Glassnode data shows that the hash rate reached 201 exahashes on January 1. The hashrate is the computational power required to mine new bitcoins and verify transactions.
Story continues
Per a previous report from FXEmpire, Bitcoins hashrate recent ATH becomes much more commendable when one takes Chinas recent level of hostility towards the industry into consideration. Then, provinces like Sichuan banned crypto mining activities which led to miners moving to other jurisdictions.
This article was originally posted on FX Empire
Original post:
Banknote Market Key Players Change The View Of The Face Of Industry By 2028: De La Rue Plc, Fortress Global Enterprises, and Giesecke & Devrient…
The Global Banknote market from 2021 to 2028 study focuses on a global examination of data from the most recent market developments. The goal of Global Market Vision is to offer clients with a comprehensive market description so that they may build development plans.
The report includes key player profiling of almost all important companies of the Banknote market. The company profiling section offers valuable analysis on strengths and weaknesses, business developments, recent advancements, mergers and acquisitions, expansion plans, global footprint, market presence, and product portfolios of leading market players. This information can be used by players and other market participants to maximize their cost-effectiveness and streamline their business strategies. Our competitive analysis also includes key information to help new entrants to identify market entry barriers and measure the level of competitiveness in the Banknote market.
Get Exclusive Sample of Report on Banknote market is available @ https://www.adroitmarketresearch.com/contacts/request-sample/639
Top key players, who operate in the Global Banknote Market are summarized in the report to understand their role in the market and their upcoming strategies. Numerous marketing channels and strategies are likely to prosper in the forecast period and have also been designated in the report to help readers formulate winning approaches.
Global Banknote market competition by TOP MANUFACTURERS, with production, price, revenue (value) and each manufacturer including: De La Rue Plc, Fortress Global Enterprises, and Giesecke & Devrient Group.
The Banknote market size section gives the Banknote market revenue, covering both the historic growth of the market and the forecasting of the future. Moreover, the report covers a host of company profiles, who are making a mark in the industry or have the potential to do so. The profiling of the players includes their market size, key product launches, information regarding the strategies they employ, and others. The report identifies the total market sales generated by a particular firm over a period of time. Industry experts calculate share by taking into account the product sales over a period and then dividing it by the overall sales of the Banknote industry over a defined period.
Computer Banknote Market Overview:
The study provides comprehensive outlook vital to keep market knowledge up to date segmented by Large Enterprises, SMEs, Channel, Market Data Breakdown by Channels & Direct Sales, Distribution Channel, Cloud Based & On-Premise and 18+ countries across the globe along with insights on emerging & major players. If you want to analyse different companies involved in the computer Banknote industry according to your targeted objective or geography we offer customization according to requirements.
Access full Report Description, TOC, Table of Figure, Chart, etc @ https://www.adroitmarketresearch.com/industry-reports/banknote-market
About Global Banknote Market Report:
Firstly, the report offers a basic overview of the industry including, definitions, classifications, applications, and industry chain scenario. The Banknote industry analysis is provided for the global market including development history, segment analysis, major regional developments, and a thorough competitors evaluation.
Secondly, growth policies and plans are reviewed as well as manufacturing processes and cost structures. This report also discusses supply and consumption figures, import/export data, cost, price, revenue, and gross margins by prime regions such as the U.S. Europe, China, and Japan along with other key regions. Moreover, Global Banknote Market proposes market trend analysis, drivers, and challenges by consumer behavior, and various marketing channels.
Global Banknote market is segmented based by type, application and region.
Based on Type, the market has been segmented into: NA
Based on application, the market has been segmented into: Application I,Application II,Application III
Valuable Points Covered in Banknote Research Study are:
COVID-19 Impact Analysis & Post COVID-19 Revenue Opportunities
Banknote Industry Insights and Growth Relevancy Mapping
Market Forecast Estimation & Approach
Data mining & efficiency
Interconnectivity & Related markets
Banknote Market Ecosystem Map
Market Competition Outlook & Key Statistics
Strategic Analysis for Cost Optimization
Banknote Market Dynamics (DROC & PEST Analysis)
Current Market Key Trends
KOL Recommendations & Investment Landscape
Company Competitive Intelligence
Report Covers Impacts of COVID-19 to the market.
The on-going pandemic has overhauled various facets of the market. This research report provides financial impacts and market disturbance on the Banknote market. It also includes analysis of the potentially lucrative opportunities and challenges in the foreseeable future. AMR has interviewed various delegates of the industry and got involved in the primary and secondary research to confer the clients with information and strategies to fight against the market challenges amidst and after the COVID-19 pandemic.
Table of Content (TOC):
Chapter 1 Introduction and Overview
Chapter 2 Industry Cost Structure and Economic Impact
Chapter 3 Rising Trends and New Technologies with Major key players
Chapter 4 Global Banknote Market Analysis, Trends, Growth Factor
Chapter 5 Banknote Market Application and Business with Potential Analysis
Chapter 6 Global Banknote Market Segment, Type, Application
Chapter 7 Global Banknote Market Analysis (by Application, Type, End User)
Chapter 8 Major Key Vendors Analysis of Banknote Market
Chapter 9 Development Trend of Analysis
Chapter 10 Conclusion
Do You Have Any Query Or Specific Requirement? Ask to Our Industry Expert @ https://www.adroitmarketresearch.com/contacts/enquiry-before-buying/639
About Us
Adroit Market Research is an India-based business analytics and consulting company incorporated in 2018. Our target audience is a wide range of corporations, manufacturing companies, product/technology development institutions and industry associations that require understanding of a markets size, key trends, participants and future outlook of an industry. We intend to become our clients knowledge partner and provide them with valuable market insights to help create opportunities that increase their revenues. We follow a code Explore, Learn and Transform. At our core, we are curious people who love to identify and understand industry patterns, create an insightful study around our findings and churn out money-making roadmaps.
Contact Us:
Ryan Johnson
Account Manager Global
3131 McKinney Ave Ste 600, Dallas,
TX75204, U.S.A.
Phone No.: USA: +1 210-667-2421/ +91 9665341414
Excerpt from: