Category Archives: Artificial Intelligence
Five ways artificial intelligence can help space exploration – The Conversation UK
Artificial intelligence has been making waves in recent years, enabling us to solve problems faster than traditional computing could ever allow. Recently, for example, Googles artificial intelligence subsidiary DeepMind developed AlphaFold2, a program which solved the protein-folding problem. This is a problem which has had baffled scientists for 50 years.
Advances in AI have allowed us to make progress in all kinds of disciplines and these are not limited to applications on this planet. From designing missions to clearing Earths orbit of junk, here are a few ways artificial intelligence can help us venture further in space.
Do you remember Tars and Case, the assistant robots from the film Interstellar? While these robots dont exist yet for real space missions, researchers are working towards something similar, creating intelligent assistants to help astronauts. These AI-based assistants, even though they may not look as fancy as those in the movies, could be incredibly useful to space exploration.
A recently developed virtual assistant can potentially detect any dangers in lengthy space missions such as changes in the spacecraft atmosphere for example increased carbon dioxide or a sensor malfunction that could be potentially harmful. It would then alert the crew with suggestions for inspection.
An AI assistant called Cimon was flown to the international space station (ISS) in December 2019, where it is being tested for three years. Eventually, Cimon will be used to reduce astronauts stress by performing tasks they ask it to do. NASA is also developing a companion for astronauts aboard the ISS, called Robonaut, which will work alongside the astronauts or take on tasks that are too risky for them.
Read more: Astronauts are experts in isolation, here's whatthey can teach us
Planning a mission to Mars is not an easy task, but artificial intelligence can make it easier. New space missions traditionally rely on knowledge gathered by previous studies. However, this information can often be limited or not fully accessible.
This means the technical information flow is constrained by who can access and share it among other mission design engineers. But what if all the information from practically all previous space missions were available to anyone with authority in just a few clicks. One day there may be a smarter system similar to Wikipedia, but with artificial intelligence that can answer complex queries with reliable and relevant information to help with early design and planning of new space missions.
Researchers are working on the idea of a design engineering assistant to reduce the time required for initial mission design which otherwise takes many human work hours. Daphne is another example of an intelligent assistant for designing Earth observation satellite systems. Daphne is used by systems engineers in satellite design teams. It makes their job easier by providing access to relevant information including feedback as well as answers to specific queries.
Earth observation satellites generate tremendous amounts of data. This is received by ground stations in chunks over a large period of time, and has to be pieced together before it can be analysed. While there have been some crowdsourcing projects to do basic satellite imagery analysis on a very small scale, artificial intelligence can come to our rescue for detailed satellite data analysis.
For the sheer volume of data received, AI has been very effective in processing it smartly. Its been used to estimate heat storage in urban areas and to combine meteorological data with satellite imagery for wind speed estimation. AI has also helped with solar radiation estimation using geostationary satellite data, among many other applications.
AI for data processing can also be used for the satellites themselves. In recent research, scientists tested various AI techniques for a remote satellite health monitoring system. This is capable of analysing data received from satellites to detect any problems, predict satellite health performance and present a visualisation for informed decision making.
One of the biggest space challenges of the 21st century is how to tackle space debris. According to ESA, there are nearly 34,000 objects bigger than 10cm which pose serious threats to existing space infrastructure. There are some innovative approaches to deal with the menace, such as designing satellites to re-enter Earths atmosphere if they are deployed within the low Earth orbit region making them disintegrate completely in a controlled way.
Another approach is to avoid any possible collisions in space, preventing the creation of any debris. In a recent study, researchers developed a method to design collision avoidance manoeuvres using machine-learning (ML) techniques.
Another novel approach is to use the enormous computing power available on Earth to train ML models, transmit those models to the spacecraft already in orbit or on their way, and use them on board for various decisions. One way to ensure safety of space flights has recently been proposed using already trained networks on board the spacecraft. This allows more flexibility in satellite design while keeping the danger of in orbit collision at a minimum.
On Earth, we are used to tools such as Google Maps which use GPS or other navigation systems. But there is no such a system for other extraterrestrial bodies, for now.
We do not have any navigation satellites around the Moon or Mars but we could use the millions of images we have from observation satellites such as the Lunar Reconnaissance Orbiter (LRO). In 2018, a team of researchers from NASA in collaboration with Intel developed an intelligent navigation system using AI to explore the planets. They trained the model on the millions of photographs available from various missions and created a virtual Moon map.
As we carry on to explore the universe, we will continue to plan ambitious missions to satisfy our inherent curiosity as well as to improve the human lives on Earth. In our endeavours, artificial intelligence will help us both on Earth and in space make this exploration possible.
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Five ways artificial intelligence can help space exploration - The Conversation UK
Engineering and artificial intelligence combine to safeguard COVID-19 patients – Princeton University
Spurred by the demands of the COVID-19 pandemic, researchers at Princeton and Google are applying mechanical engineering and artificial intelligence to increase the availability and effectiveness of ventilation treatments worldwide.
Ventilators and their support equipment are expensive and complex devices that require expert attention from doctors and other highly trained medical workers. The devices must be carefully calibrated and monitored to ensure they are meeting a range of parameters pressure, volume, breath rate tuned to each individual patient. Often, these measures change during treatment, requiring further tuning.
If that monitoring and adjustment is handled by artificial intelligence, it could ease the burden on medical workers and allow ventilators to be deployed in areas with staffing shortages. That was the logic that led Elad Hazan, a professor of computer science and director of Google AI Princeton, and Daniel Cohen, an assistant professor of mechanical and aerospace engineering, to launch the project.
Graduate student Daniel Suo and senior Paula Gradu are part of a team of researchers using AI to improve the way ventilators assist patients.
Photo by
Aaron Nathans, Office of Engineering Communications
Modern ventilators seek to maximize clinical outcomes while at the same time protecting patients from excessive levels of pressure and volume, said Daniel Notterman, a board certified pediatric intensive care physician with experience managing patients with respiratory failure, who is also a lecturer with the rank of professor in molecular biology. Although conceptually simple, the regulation of ventilator performance is extremely complex. This effort provided the opportunity for experts in programming, engineering and clinical medicine to rethink many of the usual solutions, under the leadership of Professor Cohen.
Since the initial COVID-19 outbreak last spring, Cohens team had been working to design low-cost ventilators using readily available parts. Initially, Cohen met with Hazan to discuss a control system for the new design. But the researchers realized that artificial intelligence could improve controls for all ventilators, not just the type designed at Princeton.
The hypothesis is that applying AI tools can make systems more robust and safer, Hazan said.
Access to Cohens ventilator has been critical, Hazan said. The physics underlying breathing is complex, and breaking the fluid dynamics down into working equations is generally impractical and inaccurate. So instead of approaching the control problem through the physics of the lungs, the researchers ran experiments on the Cohen teams ventilators and applied machine learning to uncover patterns in the data that would guide the safe and effective operation of the ventilator.
Tom Zajdel, a post doctoral researcher, was part of the team that designed and built a new ventilator at Princeton. The open-source design uses readily available parts.
The development of the ventilator began as part of an effort by Cohen and Notterman to design a new system that was inexpensive and could be assembled from off-the-shelf parts.
It basically goes together like Legos, said Julienne LaChance, a graduate student in Cohens lab who led the prototype construction efforts from her garage. I picture my high school robotics team putting this together.
The ventilator is now fully built and meets key FDA performance standards, while costing less than $1,500 a tenth or twentieth the price of commercial ventilators, Cohen said. The team is now actively seeking manufacturing partners to help push for regulatory approval, especially in less affluent countries in need of ventilators.
We have been using robust, simple parts that we put together with a lot of very well done software and coding, said Cohen. We are trying to develop a generalized platform that anyone can work with, or improve upon, anywhere in the world, even after the pandemic.
Researchers from Hazans lab include senior Paula Gradu; graduate studentsXinyi Chen, Udaya Ghai, Edgar Minasyan,Karan SinghandDaniel Suo; and recent Ph.D. graduatesNaman AgarwalandCyril Zhang. In addition to LaChance, Notterman and Cohen, the local Princeton ventilator team includes postdoctoral researchersTom ZajdelandManuel Schottdorf, senior research software engineer Grant Wallace, and graduate studentsSophie DvaliandZhenyu Song, as well as a number of external collaborators.
Editors note: For the full version of this story, visitthe Engineering website.
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Engineering and artificial intelligence combine to safeguard COVID-19 patients - Princeton University
Is artificial intelligence the answer to data privacy protection? (Includes interview) – Digital Journal
To look at the types of actions that businesses should be taking, Digital Journal caught up with Rick Farnell, who is the President and CEO of Protegrity, a data security company. Farnell has experience with helping to incubate, fund and scale startups in the AI market. The advice comes as a timely reminder for Data Privacy Day.According to Rick Farnell: This years Data Privacy Day marks a unique milestone in the maturity of online privacy. For decades, security has been focused on perimeter defenses, such as stopping attackers from getting through networks, endpoints, and applications."This was fine once, but things have changed has Farnell explains: "However, these measures and even old-school methods like coarse-grained data protection are virtually ineffective when it comes to providing a meaningful assurance of privacy for the billions of human beings on the planet. On this Data Privacy Day, we as an industry should go forward with the knowledge that fine-grained data protection will be critical for the future of online privacy."Central to the measures that need to be taken are with digital technologies and a transformation of businesses culture, as Farnell explains: Over the past year, the pandemic has fast-tracked digital transformation, AI, and data analytics timelines for many companies far beyond the level of innovation that would have happened under normal circumstances. This has forced businesses to reckon with the age-old struggle between the freedom to innovate and the level of control required by IT."The most important technological step, according to Farnell is artificial intelligence, as he outlines: Without a doubt, AI will be the next frontier of innovation for businesses across the globe. However, while AI is poised to radically improve the lives of every person on the planet, privacy concerns remain. For businesses to finally unlock the full potential of AI, they must first find ways to become responsible caretakers of their customers' sensitive information."Pulling his analysis together, Farnell loops back to Data Privacy Day: To this end, I believe that the organizers of Data Privacy Day have selected a very apt theme for businesses this year: Respect Privacy. Privacy truly is a fundamental human right and necessitates human-centric solutions to protect the peoples data and enable organizations to be responsible data stewards.
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Is artificial intelligence the answer to data privacy protection? (Includes interview) - Digital Journal
This Startup Uses Artificial Intelligence to Help Companies Find Employees Who Fit Their Culture – Entrepreneur
Through artificial intelligence and machine learning, Hitch helps companies find the talent most compatible with their organizational culture.
Let the business resources in our guide inspire you and help you achieve your goals in 2021.
January26, 20214 min read
Hitch is the talent discovery platform that offers the information based on data and on the development of applied neuroscience with Artificial Intelligence that companies need to select the best professionals, develop leaders and discover talents, that is, find that needle in the haystack for their key positions.
Among many things that are changing, for example, the traditional job interview has changed forever. Now, video interviews are studied by algorithms and in this way it is possible to know with much greater precision and depth the qualities of the candidates. That, in addition to many other resources, are part of what Hitch offers, the tech people created by Mexican entrepreneurs.
With Hitch, recruiting tasks can be carried out remotely, having access to a number of CV's that it is impossible to manually review for any company. We also facilitate talent inclusion decision-making based on the candidate's capabilities, qualities and compatibility with the company. All of this substantially raises the level of success in hiring and long-term retention of employees.
We free up the time of Human Capital personnel in companies so that they can focus on tasks that need greater human action, such as strengthening the organizational culture and the development and training of talent.
"At Hitch , we help companies discover the talent they need to be successful," said Gabriela Ceballos, CEO of Hitch during the press conference. "This launch makes finding talent an agile, intelligent and humane experience, injecting the right amount of technology to drive data-driven insights for better decision making. The fact that everything can be done virtually makes launching this product after a year marked by the COVID19 pandemic, is good news for companies and candidates. In addition, by finding the right candidate for the right position we generate long-term happy relationships where companies and talent develop their full potential. "
This SaaS offers:
" Hitch combines the best of neuroscience and organizational psychology with technology, creating a solution that generates great results by analyzing many more candidates and screening the most suitable ones step by step to ensure that companies find who they need, in addition to generating an experience of humane, fair user and with the least possible bias, comments Dr. Ral Arrabales, PhD in Computer Science and Artificial Intelligence and VP of Product at Hitch.
Gabriela Ceballos CEO Hitch. Photo: Courtesy
Because of Hitch's potential, we were able to raise $ 400,000 in pre-seed capital. For our first year in operations we plan to have more than 100 companies in our portfolio, in addition to that we will be processing more than 50,000 jobs for our clients, assured Ceballos.
As Hitch expands its Artificial Intelligence capabilities, the company is committed to a transparency approach, providing a clear path to how algorithms are built and how success predictions are made.
Hitch has experts in technology and psychology who monitor artificial intelligence and ensure the accuracy and fairness of algorithms. For the same reason, still in the pilot phase, it has been selected as part of the program for the Prototype of Public Policy on Transparency and Explicability of AI systems led by
C Minds, Facebook, the Inter-American Development Bank Group and the National Institute for Transparency, Access to Information and Protection of Personal Data (INAI).
Hitch enables companies to make the best decisions about their talent selection from hiring to targeting the type of leadership and culture they want to create for their human capital. Our talent and culture analytics, using AI and machine learning, provide companies with a competitive advantage when recruiting through a deep understanding of their candidates and the qualities that drive success. The result is outstanding employee performance, transforming the average workforce into high-performance, exponentially growing companies.
Artificial Intelligence In Medical Imaging Market Research Report by Application, by End-user – Global Forecast to 2025 – Cumulative Impact of…
New York, Jan. 29, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Artificial Intelligence In Medical Imaging Market Research Report by Application, by End-user - Global Forecast to 2025 - Cumulative Impact of COVID-19" - https://www.reportlinker.com/p06015799/?utm_source=GNW
Market Statistics:The report provides market sizing and forecast across five major currencies - USD, EUR GBP, JPY, and AUD. This helps organization leaders make better decisions when currency exchange data is readily available.
1. The Global Artificial Intelligence In Medical Imaging Market is expected to grow from USD 612.97 Million in 2020 to USD 1,934.97 Million by the end of 2025.2. The Global Artificial Intelligence In Medical Imaging Market is expected to grow from EUR 537.46 Million in 2020 to EUR 1,696.61 Million by the end of 2025.3. The Global Artificial Intelligence In Medical Imaging Market is expected to grow from GBP 477.80 Million in 2020 to GBP 1,508.29 Million by the end of 2025.4. The Global Artificial Intelligence In Medical Imaging Market is expected to grow from JPY 65,419.43 Million in 2020 to JPY 206,510.33 Million by the end of 2025.5. The Global Artificial Intelligence In Medical Imaging Market is expected to grow from AUD 890.11 Million in 2020 to AUD 2,809.83 Million by the end of 2025.
Market Segmentation & Coverage:This research report categorizes the Artificial Intelligence In Medical Imaging to forecast the revenues and analyze the trends in each of the following sub-markets:
Based on Application, the Artificial Intelligence In Medical Imaging Market studied across Digital Pathology and Oncology.
Based on End-user, the Artificial Intelligence In Medical Imaging Market studied across Hospitals & Diagnostic Centers.
Based on Geography, the Artificial Intelligence In Medical Imaging Market studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region surveyed across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region surveyed across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region surveyed across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.
Company Usability Profiles:The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence In Medical Imaging Market including 3Scan, Agfa Healthcare, Arterys, Butterfly Network, Inc., EchoNous, Inc., Enlitic, Inc., GE Healthcare, IBM Corporation, NVIDIA Corporation, and Siemens.
Cumulative Impact of COVID-19:COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.
360iResearch FPNV Positioning Matrix:The 360iResearch FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence In Medical Imaging Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.
360iResearch Competitive Strategic Window:The 360iResearch Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The 360iResearch Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.
The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on the market offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments
The report answers questions such as:1. What is the market size and forecast of the Global Artificial Intelligence In Medical Imaging Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Intelligence In Medical Imaging Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Intelligence In Medical Imaging Market?4. What is the competitive strategic window for opportunities in the Global Artificial Intelligence In Medical Imaging Market?5. What are the technology trends and regulatory frameworks in the Global Artificial Intelligence In Medical Imaging Market?6. What are the modes and strategic moves considered suitable for entering the Global Artificial Intelligence In Medical Imaging Market?Read the full report: https://www.reportlinker.com/p06015799/?utm_source=GNW
About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.
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Global Initiative to Advance the Promise of Responsible Artificial Intelligence – Modern Diplomacy
Access to digital technologies has enabled many to work, learn and live during the COVID-19 pandemic. However, the pandemic has exposed and exacerbated existing gaps and inequalities: almost half of the global population, some 3.6 billion people, remain offline and broadband services are too expensive for 50% of the population in developed countries. These connectivity deserts hamper access to health, education and economic inclusion.
To ensure global and equitable access to the digital economy, the World Economic Forum is launching the Essential Digital Infrastructure and Services Network, or EDISON Alliance. The Alliance will work with governments and industries to accelerate digital inclusion. Its goal is to ensure an unprecedented level of cross-sectoral collaboration between the technology industry and other critical sectors of the economy.
A multi-sector Board will steer the Alliance. Hans Vestberg, Chairman and Chief Executive Officer, Verizon, will serve as Chair of the Alliance and Board. He is joined by Paula Ingabire, Rwandas Minister for ICT and Innovation; Ajay Banga, Mastercard Executive Chair; Shobana Kamineni, Executive Vice-Chairperson of Apollo Hospitals Group; and Robert F. Smith, Founder, Chairman and CEO of Vista Equity Partners. The World Economic Forum will serve as the secretariat and platform for the Alliance. A wider group of Champions Leaders will advise and support the Alliance.
This marks the first time so many private and public sector leaders from across industries are coming together to close the digital divide. Accelerating affordable access to digitally enabled services like healthcare, education or financial services is foundational to economic recovery and social cohesion. Achieving this will take deep, sustained collaboration. It is critical that we move together and that we move fast. Derek OHalloran, Member of the Executive Committee, Head of the Digital Economy at the World Economic Forum.
The EDISON Alliance will prioritize digital inclusion as a platform of partners with a common purpose for achieving the Sustainable Development Goals. In 2021, the Alliance will focus on increasing digital inclusion in healthcare, education and financial services.
Quotes from the EDISON Alliance Board Members:
Hans Vestberg, Chairman and CEO, Verizon Chairman of The EDISON Alliance: Over the past ten months we have seen just how impactful connectivity and access to digital technologies is to working, learning and transacting. Ive long believed that mobility, broadband, and cloud services are the 21st centurys infrastructure, but to use them to their greatest impact, we need to galvanize both the private and the public sectors. This is a critical moment for leaders across all sectors to join forces and recognize access and affordability to digital services as a top priority for recovery in every country.
Ajay Banga, Mastercard Executive Chair: There is no Internet of Everything without the inclusion of everyone. But by putting our collective capabilities to work connecting people and businesses in the right waywith secure access and informed usagewe can start to tackle other barriers, like access to capital, and provide other opportunities for growth. Digital Inclusion sets people up for so many other kinds of inclusion.
Paula Ingabire, Minister for ICT & Innovation, Rwanda: We have seen tremendous collaborations during the pandemic to enable greater access to digital services. Moving forward we need even greater mobilization of all levels of government and private sector organizations to develop impactful solutions that will ensure equitable and affordable access to broadband connectivity, in order to achieve the targets set for 2025.
Shobana Kamineni, Executive Vice-Chairperson, Apollo Hospitals: The age of health IOT was propelled to warp speed during the Covid pandemic across the globe. Geography, distances and convenience converged to make teleconsults available not only to those in distant locations, but also to cities in lockdown. In the US, telehealth usage jumped from 11% in 2019 to 46%, whilst in India, there was a massive jump of 300%in online consultations. Digital health is on trajectory to make health & well-being ubiquitous, affordable and life enhancing and as we transition to the post-Covid world, we will need to accelerate this effort through value-based digital services.
Robert F. Smith, Founder, Chairman and CEO, Vista Equity Partners: Connectivity is oxygen for opportunity. The global pandemic laid bare the divide between those who are connected and the billions who are not. Just as we push for equitable access to clean air and water, we also need to scale up access to broadband, devices, and digital literacy, which are onramps to education, healthcare, financial services, and human empowerment. This will require investment and coordination across countries and sectors, and the EDISON Alliance is an important platform to advance this mission.
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Global Initiative to Advance the Promise of Responsible Artificial Intelligence - Modern Diplomacy
AFTAs 2020: Best Artificial Intelligence (AI) Technology InitiativeMoody’s Analytics – www.waterstechnology.com
New York-based Moodys Analytics has enjoyed considerable success across a number of WatersTechnologys awards programs over the yearsfor example, in 2020 it won the best credit risk solution provider category in the Waters Rankingsalthough a win in the AFTAs has always eluded the financial intelligence and analytical tools specialist. Until the 2020 AFTAs that is: This year, Moodys Analytics walks away with a pair of wins, the first of them coming in the best artificial intelligence (AI) technology initiative category, thanks to its QUIQspread offering, an AI-based financial spreading tool unveiled in 2020, designed to help institutions automate the spreading of financial statements.
Financial spreading is the manually intensive process through which lenders extract key data from unstructured financial statements from the purposes of conducting credit risk analysis on borrowers. According to Eric Grandeo, senior director, product manager at Moodys Analytics, QUIQspread uses machine learning technology to automate the financial spreading process, resulting in normalized datasets and allowing lenders to make faster and more judicious lending and credit decisions. Its a process that can be cumbersome and inconsistent, potentially resulting in costly mistakes, Grandeo explains. Lenders want to empower their relationship managers and analysts to focus more on high-value credit risk analysis tasks and increase their throughput in the most efficient way possible, and QUIQspread helps them do that.
Given the unstructured nature of financial statements, incumbent rules-based applications tend to struggle when it comes to accounting for the variety of information/data formats presented in statements. Machine learning, Grandeo explains, is the ideal technology to automate that process. Machine learning technology learns from previous practices and behaviors and can adapt to change over time without any development work, he says. Spreading is an evolving practice and needs a technology that evolves with it. Today, QUIQspread is processing thousands of spreads for customers in production who are now benefiting from significant time savings and efficiencies.
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AFTAs 2020: Best Artificial Intelligence (AI) Technology InitiativeMoody's Analytics - http://www.waterstechnology.com
Artificial Intelligence In Remote Patient Monitoring Market Research Report – Global Forecast to 2025 – Cumulative Impact of COVID-19 – GlobeNewswire
New York, Jan. 29, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Artificial Intelligence In Remote Patient Monitoring Market Research Report - Global Forecast to 2025 - Cumulative Impact of COVID-19" - https://www.reportlinker.com/p06015800/?utm_source=GNW This helps organization leaders make better decisions when currency exchange data is readily available.
1. The Global Artificial Intelligence In Remote Patient Monitoring Market is expected to grow from USD 712.68 Million in 2020 to USD 2,157.68 Million by the end of 2025.2. The Global Artificial Intelligence In Remote Patient Monitoring Market is expected to grow from EUR 624.89 Million in 2020 to EUR 1,891.89 Million by the end of 2025.3. The Global Artificial Intelligence In Remote Patient Monitoring Market is expected to grow from GBP 555.52 Million in 2020 to GBP 1,681.89 Million by the end of 2025.4. The Global Artificial Intelligence In Remote Patient Monitoring Market is expected to grow from JPY 76,061.01 Million in 2020 to JPY 230,279.13 Million by the end of 2025.5. The Global Artificial Intelligence In Remote Patient Monitoring Market is expected to grow from AUD 1,034.90 Million in 2020 to AUD 3,133.23 Million by the end of 2025.
Market Segmentation & Coverage:This research report categorizes the Artificial Intelligence In Remote Patient Monitoring to forecast the revenues and analyze the trends in each of the following sub-markets:
Based on Geography, the Artificial Intelligence In Remote Patient Monitoring Market studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region surveyed across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region surveyed across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region surveyed across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.
Company Usability Profiles:The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence In Remote Patient Monitoring Market including 100 Plus, AiCure, Binah.ai, Biofourmis, Cardiomo, ChroniSense Medical, ContinUse Biometrics (Cu-Bx), Current Health, Ejenta, Eko, Engagely.ai, Feebris, GYANT, iHealth, Medical Device + Diagnostic Industry (MD+DI), Medopad, Myia, Neoteryx, LLC, Neteera, Tech Vedika, ten3T Healthcare, and Vitls.
Cumulative Impact of COVID-19:COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.
360iResearch FPNV Positioning Matrix:The 360iResearch FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence In Remote Patient Monitoring Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.
360iResearch Competitive Strategic Window:The 360iResearch Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The 360iResearch Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.
The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on the market offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments
The report answers questions such as:1. What is the market size and forecast of the Global Artificial Intelligence In Remote Patient Monitoring Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Intelligence In Remote Patient Monitoring Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Intelligence In Remote Patient Monitoring Market?4. What is the competitive strategic window for opportunities in the Global Artificial Intelligence In Remote Patient Monitoring Market?5. What are the technology trends and regulatory frameworks in the Global Artificial Intelligence In Remote Patient Monitoring Market?6. What are the modes and strategic moves considered suitable for entering the Global Artificial Intelligence In Remote Patient Monitoring Market?Read the full report: https://www.reportlinker.com/p06015800/?utm_source=GNW
About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.
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Artificial Intelligence In Remote Patient Monitoring Market Research Report - Global Forecast to 2025 - Cumulative Impact of COVID-19 - GlobeNewswire
Artificial Intelligence in Asia: Security Will be a Priority – Analytics Insight
The landscape of artificial intelligence (AI), commercialization and research is progressively expanding to Asia. Asia, which is home to 61% of the global population, stands to acquire the most from implementing AI given its still beginning phases of advancement, however, immense potential to scale returns. From Japan to Singapore, AI startups and research hubs are rising quickly, a harbinger of the technological leapfrog that is to come.
Southeast Asia is increasingly embracing artificial intelligence. A research by EDBI and Kearney on the province of AI preparation in Singapore, Malaysia, Thailand, Vietnam, and the Philippines uncovered a growing force on the adoption of AI use-cases in different enterprises. Indonesias new launch of a National Strategy for AI epitomizes this developing acknowledgment about the potential economic benefits of AI for the region. If Southeast Asia gets AI right, it could add $1 trillion to its GDP by 2030.
Japans huge drive into IoT sensor implementation across Asia should be perceived as a highlight of its AI strategy given the data it will produce. As the first country with boundless 5G execution, South Korea has an edge in collecting data that will develop its AI ability in areas, for example, autonomous vehicles, smart manufacturing, and immersive gaming.
In the security domain all the more explicitly, AI is rising as a critical topic for defense policymakers as well as communities in a range of fields, from evaluation of its effect on geopolitical competition to regions of potential collaboration between some Indo-Pacific partners and their expert communities. It has additionally been a subject of conversation among researchers and policymakers in annual Asian security fora, for example, the Shangri-La Dialog and the Xiangshan Forum.
According to The Diplomat, Singapore Senior Minister of State Zaqy Mohamad at the Fullerton Forum, a yearly Shangri-La Dialog security forum spoke about artificial intelligence as a focus where Asias defense foundations could help add to the advancement of more extensive interstate collaboration.
Mohamads emphasis on AI for Asian defense foundations was particularly with regards to latest technological patterns. As he noted in his keynote address, AI is an emerging space where military and defense foundations can play a critical part in endeavors to strengthen the international order and enhance practical cooperation by building confidence, promoting responsible state behavior, and fostering international stability.
Southeast Asian countries are ideal targets of cyberattacks. With cybersecurity spending slacking, the region could lose an expected $180 billion to $365 billion in the next couple of years from huge data breaches.
As Southeast Asia deploys AI, reinforcing cybersecurity principles for government offices and agencies, technology organizations, and colleges is profoundly crucial. Deploying liability regimes and accountability mechanisms is likewise indispensable to guarantee that all parties involved in the plan and improvement of AI witness tough auditing and testing standards. In countering adversarial AI attacks, organizations and companies should move up to putting resources into AI-infused cybersecurity.
As foreign investment shifts from China to Asia, organizations are putting AI to work to carry automation to the industrial landscape of Indonesia, Malaysia, Thailand and Vietnam. These nations are home to significant investments from Chinese tech monsters, which have opened up AI labs in the locale. This pattern gives no indication of easing back as venture capital funds put more than $3.4 billion in ASEAN in the first half of 2019, and Chinas investment in the district expanded fourfold.
Asia is well prepared to turn into a data-driven economic powerhouse. The current dynamism encompassing the rise of AI embodies the developing interest in the area to receive the benefits of the fourth industrial revolution.
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Artificial Intelligence in Asia: Security Will be a Priority - Analytics Insight
ArchIntel Releases ‘Competitive Artificial Intelligence: The Crossover Point’ White Paper – GovConWire
ArchIntel
ArchIntel, a leading provider of concise actionable open source market and competitive intelligence (CI) reports to business leaders across the federal sector, has released Competitive Artificial Intelligence: The Crossover Point, the platforms latest white paper discussing the influence that artificial intelligence (AI) is having on the future of the CI landscape.
The full white paper is available for a free download on ArchIntel.com.
The Crossover Point showcases the insights and highlights from a handful of senior executives in the field of competitive intelligence who acted as expert panelists during ArchIntel Events recent Artificial Intelligence in Competitive Intelligence Forum.
ArchIntels first event explored the competitive landscape as emerging technology continues to evolve and influence the federal sector while the panelists explained how businesses can maintain a competitive advantage through the integration of emerging technologies into their organizations.
August Jackson, senior director of Market and Competitive Intelligence with Deltek, served as a speaker and moderator for an expert panel featuring Dr. Fred Hoffman of Mercyhurst University, Arik Johnson of Aurora Worldwide Development and Suki Fuller of Competitive Intelligence Fellows.
We need to find our collective professional voice for us to speak to the developer community to ensure that AI is an enabling tool for competitive intelligence. said Jackson during ArchIntels recent forum. This event is one of the first steps we need to find that voice.
Download your free copy of ArchIntels latest white paper, The Crossover Point to learn the biggest takeaways and best practices of how CI professionals are maintaining a competitive advantage in their field while working to integrate AI and other emerging technologies to push CI into the future.
In case you missed ArchIntels Artificial Intelligence in Competitive Intelligence Forum, you can rewatch the full event by registering on ArchIntel Events.