Category Archives: Artificial Intelligence
Why hybrid intelligence is the future of artificial intelligence at McKinsey – McKinsey
April 29, 2022In 2015, McKinsey acquired QuantumBlack, a sophisticated analytics start-up of more than 30 data scientists, data engineers, and designers based in London. They had made their name in Formula 1 racing, applying data science to help teams gain every possible advantage in performance. Healthcare, transportation, energy, and other industry clients soon followed.
Many times, acquisitions melt quietly into the parent company. This isnt the case for QuantumBlack; it has been an accelerating force for our work in analytics. Today, it enters a new chapter by officially becoming the unified AI arm of McKinsey. When we talk about helping our clients achieve sustainable and inclusive growth, AI is naturally part of the conversation. Its transforming all businesses, including the way we, as McKinsey, serve organizations, explains Alexander Sukharevsky, who along with Alex Singlaleads QuantumBlack.
Our QuantumBlack community through the years
Over the past seven years, theQuantumBlack community has helped McKinsey achieve a number of feats: building and then donating Kedro, an industry-leading developer tool, to the open-source community; being named a Leader in AI; and supporting women in technology through community efforts and mentorship. The team grew quickly, to 400 in 2020, and now has more than 1000 technical practitioners across the globe today.
Along the way, QuantumBlack has been a critical part of many digital and AI transformations across industries. We have now brought together all of our analytics colleagues under one umbrella called QuantumBlack, AI by McKinsey,says Alex Singla, sharing a single culture and strongly defined career pathways, and using common methods and tools.
Team members range from deeply experienced data scientists and engineers to AI-fluent business consultants. The firm has also undertaken intensive training and certification in all aspects of AI and machine learning, including digital and analytics risk.
One thing that hasnt changed: our original principle of combining the brilliance of the human mind and domain expertise with innovative technology to solve the most difficult problems, explains Alex Sukharevsky. We call it hybrid intelligence, and it starts from day one on every project.
AI initiatives are known to be challenging; only one in ten pilots moves into production with significant results. Adoption and scaling arent things you add at the tail end of a project; theyre where you need to start, points out Alex Singla. We bring our technical leaders together with industry and subject-matter experts so they are part of one process, co-creating solutions and iterating models. They come to the table with the day-to-day insights of running the business that youll never just pick up from the data alone.
Our end-to-end and transformative approach is what sets McKinsey apart. Clients are taking notice: two years ago, most of our AI work was single use cases, and now roughly half is transformational.
Another differentiating factor is the assets created by QuantumBlack Labs. We capture the insights we have learned over the years with industries and fuse them with the best technologies to stay at the forefront, explains Matt Fitzpatrick, a senior partner who leads QuantumBlack Labs with Jeremy Palmer. These tech assets can solve up to 70 percent of the work that used to be done on a bespoke basis.
We already know how to tie the analytic model into the clients data pipelines. Now we have industry models that are plug-and-play with security, scalability, and risk management already baked in, says Paul Beaumont, a senior principal data scientist based in Singapore. For example, the CustomerOne toolkit for telecommunications companies can reduce time to market for analytics campaigns by 75 percent.
QuantumBlack Labs will expand significantly over the next year: We want to become a magnet for the best technologists in the world and create assets that bring together all of our knowledge, so we can take this to our clients, says Matt.
Today, our experts work in major cities around the globe, but one tradition from QuantumBlacks early days remains. There has always been beautiful art on the walls, a deep commitment to high-quality design, and a fantastic community and culture, recalls Kat Shenton, who has been with QuantumBlack since 2017.
Video
The team recently engaged Sougwen Chung, an AI artist and researcher, to create a painting that brings to life the concept of hybrid intelligence and will form the basis for QuantumBlacks new visual identity.
As a first step in the artistic process, QuantumBlack data scientists processed data from a river to train its CausalNex machine learning model. It was the ideal tool for this project because it intrinsically requires humans and tech to work together, explains Paul. Sougwen further developed the model, adding her own biofeedback.
The model guides the movement of two robotic arms that paint alongside her to create a beautiful swirling visual. The result, as you can see in the film on this page, is a meld of artistry and technology that expresses the cutting-edge work we do for our clients.
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Why hybrid intelligence is the future of artificial intelligence at McKinsey - McKinsey
How is Artificial Intelligence Revolutionizing the Educational Sector? – Robotics and Automation News
Technological advancement is helping many sectors and industries and this is also helpful in the educational sector too.
The role of technological advancement especially in the form of Artificial Intelligence in the educational sector was realized very strongly during the Covid-19 pandemic when the students were forced to engage in remote learning.
Even though the pandemic has subsided, remote learning and remote working are still relevant and as a result, hybrid education is something that has become a trend.
Here are a few ways through which Artificial Intelligence is revolutionizing the educational sector.
Educational tasks often involve reported tasks, this is true for both the administrative tasks of the education sector and also, managing the reports of the students. Manually, doing this repeated task is often a waste of time.
Artificial Intelligence can be employed to automate these repeated tasks like grading tests of Sarkari Result, reporting the attendance of a student and also, organizing the materials for the lectures.
By automating these tasks, the different stakeholders of the education sector can free their time to engage in other important activities.
Students often have many queries and imagine the number of queries that a teaching faculty is bombarded on a daily basis by the students. Often these questions are repetitive and it can be frustrating to give the same reply to multiple students.
Artificial Intelligence can be helpful for the students in solving queries like what is the examination dates of different Government Jobs or when the next class is scheduled. Quick responses can be a part of an educational institution, especially on its official website.
With Artificial Intelligence, the classroom is not limited only to the local students but has provided a platform for the students across the globe.
Artificial Intelligence has made the global classroom a dream. There are many platforms available which provide courses to students irrespective of the region to which they belong to.
Universal access for the students is especially helpful for the students who do not have the accessibility to attend the classes. Artificial Intelligence is breaching all geographical barriers.
With Artificial Intelligence, finally, the students have the freedom to study when they want to and from wherever they want to. Artificial Intelligence makes it possible for the students to access the study materials whenever they want to.
In addition to that, Artificial Intelligence ensures that the queries of the students are addressed whenever they want to. Artificial Intelligence tutors play a critical role in solving the doubts of the students.
Personalizing learning of the student is something that Artificial Intelligence has made possible and it is extremely helpful for the student.
It is student-friendly. Every student has a different learning ability, personalized learning understands the different learning capacities of different students and personalizes the learning on the basis of that.
This makes it easier for the students to absorb the lesson. Personalized learning is the most important contribution of Artificial Intelligence in the educational sector.
AI tutors are virtual teachers. AI tutors are designed with the help of natural language processing, machine vision and speech recognition. These tutors are helpful for improving efficiency both inside and outside the classroom.
AI tutors are especially useful in providing a recap to the students of all the important lessons. Even though AI tutors cannot replace human tutors altogether, they can help human tutors for sure.
Artificial Intelligence can be used to create a virtual learning environment for the students, especially the students who are introverted and are sceptical about approaching a student to solve the queries.
Artificial Intelligence can create a virtual learning environment for the students by helping the students with their daily lessons. Also, it is helpful for the teachers to track the progress of the students.
Artificial Intelligence is no longer a future dream for the educational sector. It is the present of the educational sector. Artificial Intelligence is helpful for both teachers and students.
It creates a learning environment for the students and helps them to reach their true potential.
Many educational institutions have already implemented AI in them and the ones that do not have them, are working to implement it. This is important too to create a better learning opportunity for the students.
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How is Artificial Intelligence Revolutionizing the Educational Sector? - Robotics and Automation News
The Prayer, the artificial intelligence that prays – Zyri
The Prayer, a unique project that combines technology, art and religion, rubbed shoulders with works by Kandinsky, Frida Kahlo and Duchamp at the Center Pompidou in Paris. After passing through the French capital, the robot who knows how to pray travels to other museums in the world. In any place, his ability to sing his prayers generated by an artificial intelligence system with a mechanical voice is surprising.
I also read: Moravecs paradox: why robots are as smart as they are stupid
Sometimes funny things come up, he says with a laugh. Diemut Stree, the artist behind The Prayer. Beyond the appearance of the little robot (a silicone nose and mouth that moves while she sings, with its mechanical entrails exposed) there is a algorithm that was trained with religious texts and prayers. Strebe does not intend a new way of approaching the celestial; Instead, he proposes reflect on the growing omnipotence of artificial intelligence.
The debate it raises is not trivial. Without detracting from the benefits of technological progress, automation gradually advances on tasks that until recently were exclusively human. They do more than compute: we saw machine learning-based methods write poems, others paint pictures, some understand jokes until recently unintelligible to machines. And worse: artificial intelligences designed for the use of weapons.
The projects official site explains that it is an experimental setup to explore the possibilities of approaching celestial entities by performing a potentially endless chain of religious and ritual routines. devotional communication attempts through learning software automatic.
read too: UNESCO launched a guide to improve the relationship between humans and robots
By transcending the eccentric signs of that definition, we find the bases in the performance of The Prayer. As the site explains MotherboardStrebe worked on this project together with a team of artificial intelligence experts from the Massachusetts Institute of Technology, who trained the system on religious texts from around the world. The results are visible: the unique device generates its own prayers and sings them with a womans voice, borrowed of Amazons virtual assistant.
Some of the output is weird and sometimes it gets stuck, said a data scientist involved in the project. We hope that The Prayer stimulates thought, he commented, in line with the artists intentions.
Science gave us the freedom to understand the world and control it, and now were getting to the next level, where technology could get out of hand, Stebe observes that, with his art, he largely expresses what others claim: the consensus of practices for the ethical development of artificial intelligence.
read too: VioGn, an algorithm that calculates the probability that a woman suffers sexist violence
Questions such as the following appear on the platform of the initiative: Will artificial intelligence ever have emotions? Sound? Have a divine epiphany? It sounds utopian and dystopian, but it also seemed that way to the men and women who laughed decades ago at the possibility of a machine writing a poem.
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The Prayer, the artificial intelligence that prays - Zyri
Artificial intelligence is now smarterand it’s here – Manila Bulletin
Mind AI founder Paul Lee comes to town with next-level AI in tow
Theres a new K-drama in town and its real, happening in real time. It is a bit more like sci-fi, though its no way like The Silent Sea or Memories of Alhambra. Its more like SF8 or My Holo Love or Are You Human? But its more everyday reality, only its bound to get better.
Artificial intelligence or AI is nothing new. It dates back to 1935, when British logician and computer pioneer Alan Turing came up with something simply known as the universal Turing machine, an abstract computing machine that consists, as Britannica describes it, of a limitless memory and a scanner that moves back and forth through thememory, symbol by symbol, reading what it finds and writing further symbols.
It took a while to get it to work based on the premise that intelligence in computers could be achieved by rote learning. The machines would respond to commands but did not have any means to store, remember, and process the commands and their corresponding response.
In a span of only decades, despite the lack of government support and public hype, AI has grown by leaps and bounds. What would have been magical only a few years agosuch as our smartphones reminding us of our flight details or our offices taking note of our attendance by way of facial recognition or a date app helping us find The Onenow seems so ordinary.
But wait! To this day, notwithstanding its many breakthroughs, AI is still considered the next big thing. Its potential has yet to be fully unleashed to present to us its truly transformative gifts.
Enter Paul Lee.
A molecular and cellular biochemist by education, he has completed the degree at St. Pauls School and University of Oxford, as well as an M.D. from The School of Medicine at Catholic University of Korea. Paul is a scientist as much as he is an entrepreneur and an advocate of technology for the people. A co-founder at Synesis One, the worlds first decentralized autonomous organization (DAO) for data yield farming and a non-fungible token (NFT) marketplace for AI, he is also the founder and CEO of Mind AI, a relatively new company thats taking artificial intelligence to the next level.
Paul, who cofounded JNP LAB in Seoul that acts as a development hub for global exponential technologies, was in town recently to establish Mind AI in the Philippines. Welcoming his arrival in Manila was a small, informal, al fresco dinner at Manila House Private Members Club with some of the people, Filipinos and foreigners, in the country who are themselves making great strides into the future.
What Mind AI is, according to Paul, is an artificial intelligence engine and an ecosystem created to offer an entirely new approach to AI. It is built on a core reasoning engine based on an internationally patented, completely new data structure called a canonical. A canonical is formed when the AI connects nodes and links, which are interchangeable, to enable itself to perform inductive, deductive, and abductive reasoning. These three methods of reasoning are pretty much how the human mind understands the worldby discovery (inductive), with the guidance of universal, general, or widely accepted facts or premises (deduction), and by logical assumptions made from information available (abductive).
When people think of artificial intelligence, they focus on the artificial part, not the intelligence part.
When people think of artificial intelligence, they focus on the artificial part, not the intelligence part, explained Paul when asked to give the lowdown on Mind AI. Intelligence requires a reasoning process and the reasoning process, in a nutshell, consists of three thingsinduction, deduction, and abduction. Now, putting those three things into an algorithm so that machines could understand and think like a human being was hard, close to impossible, took us 13 years. Now, we got a commercial product. Now, hence, companies are using it. Its no longer just a lab experiment. Its actually out there. Its usable. And it can be in any language, whether Korean or Chinese or Tagalog so were very happy to expand in this country.
At its most basic, Mind AI is going to make communication between man and machine more conversationaland therefore more productive. Not only is Mind AI able to decipher contexts, make connections, draw logical conclusions, and generate intelligent responses, it also learns adaptively, designed as it is to grow smarter in use. Partnered with Synesis One, with which the company gamifies AI training, its bound to learn more from information crowdsourced via an ecosystem of data contributors, data traders, and data consumers.
Its very exciting for us because we literally just opened the company a couple of months ago. We knew nothing about the Philippines and we needed someone on the ground who knew the scenery, who knew the people so that we could get strategic partnerships and, you know, navigate inside this country, said Paul at the beginning of the three-course dinner, introducing Mitchell Park, who now heads the Manila operations of Mind AI.
AI sure will change the world as much as electricity has, but Mind AI has anchored itself on three simple aimsto be an innovative, democratic, and helpful brand. At its heart is the desire to make AI accessible to all as well as transparent in its operations and decision-making, to use AI to make life easier for humans, so they can focus on more noble or gainful pursuits.
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Artificial intelligence is now smarterand it's here - Manila Bulletin
The Ethics of Military Artificial Intelligence Conference at the US Naval Academy Peace Research Institute Oslo – Peace Research Institute Oslo…
Greg Reichberg speaks at 2022 McCain Conference. Photo: U.S. Navy / Stacy Godfrey
PRIO researchers Greg Reichberg and Henrik Syse spoke last week at the United States Naval Academy's annual McCain Conference on military ethics.
This year's two-day event focused on the ethics of AI military applications. Included among the speakers were Lt. Gen. Michael S. Groen, Director of the Joint Artificial Intelligence Center; Dr. Paul Scharre, author of Army of None: Autonomous Weapons and the Future of War; Brett Vaughan, Chief AI officer of the U.S. Navy; Lt. Col. Joe Chapa, Chief Responsible AI Ethics Officer for the Department of the Air Force; Jennifer Edgin, Assistant Deputy Commandant for Information, Headquarters Marine Corps; Dave Barnes, Chief AI Ethics Officer, U.S. Army AI Integration Center; Mitt Regan, Professor of Jurisprudence, Georgetown University Law Center; Missy Commings, Professor of Electrical and Computer Engineering, Duke University; and Jovana Davidovic, Associate Professor of Philosophy, University of Iowa.
The conference was organized by the Naval Academy's Stockdale Center for Ethical Leadership, in association with PRIO's project Warring with Machines: Artificial Intelligence and the Relevance of Virtue Ethics.
2022 McCain Conference: "The Ethics of Military AI"
Henrik Syse on panel at 2022 McCain Conference. Photo: U.S. Navy / Kenneth D. Aston Jr
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The Ethics of Military Artificial Intelligence Conference at the US Naval Academy Peace Research Institute Oslo - Peace Research Institute Oslo...
Artificial intelligence aids to diagnose mild cognitive impairment that progresses to Alzheimer’s – EurekAlert
Alzheimer's disease is the main cause of dementia worldwide. Although there is no cure, early detection is considered crucial for being able to develop effective treatments that act before its progress is irreversible.
Mild cognitive impairment is a phase that precedes the disease, but not everyone who suffers from it ends up developing Alzheimer's. A study led by scientists at the Universitat Oberta de Catalunya (UOC) and published in the IEEE Journal of Biomedical and Health Informatics, has succeeded in precisely distinguishing between people whose deterioration is stable and those who will progress to having the disease. The new technique, which uses specific artificial intelligence methods to compare magnetic resonance images, is more effective than the other methods currently in use.
Fine-tuning the diagnosis
Alzheimer's disease affects more than 50 million people worldwide, and the ageing of the population means that there may be many more sufferers in the coming decades. Although it usually develops without any symptoms over many years, it is generally preceded by what is known as mild cognitive impairment, which is much milder than the impairment presented by people with Alzheimer's, but more severe than would be expected for someone of their age. "These patients may progress and worsen or remain in the same condition as time passes. That is why it is important to distinguish between progressive and stable cognitive impairment in order to prevent the rapid progression of the disease," said Mona Ashtari-Majlan, a UOC researcher in the AI for Human Wellbeing (AIWELL) group, which is affiliated to the eHealth Center and the Faculty of Computer Science, Multimedia and Telecommunications. She is a student on the doctoral programme in Network and Information Technologies, supervised by David Masip, and the lead author of the article.
Identifying these cases correctly could help to improve the quality of clinical trials used to test treatments, which increasingly seek to target the initial phases of the disease. To do so, the researchers used a method involving a multi-stream convolutional neural network, which is a technique based on artificial intelligence and deep learning that is very useful for image recognition and classification.
"We first compared MRIs from patients with Alzheimer's disease and healthy people to find distinct landmarks," explained Ashtari-Majlan. After training the system, they fine-tuned the proposed architecture with resonance images from people who had already been diagnosed with stable or progressive cognitive impairment with much smaller differences. In total, almost 700 images from publicly available datasets were used.
According to Ashtari-Majlan, the process "overcomes the complexity of learning caused by the subtle structural changes that occur between the two forms of mild cognitive impairment, which are much smaller than those between a normal brain and a brain affected by the disease. Furthermore, the proposed method could address the small sample size problem, where the number of MRIs for mild cognitive impairment cases is lower than for Alzheimer's."
The new method enables the two forms of mild cognitive impairment to be distinguished and classified with an accuracy rate close to 85%. "The evaluation criteria show that our proposed method outperforms existing ones," she said, including more conventional and other deep learning-based methods, even when they are combined with biomarkers such as age and cognitive tests. In addition, "we can share our implementation with anyone wishing to reproduce the results and compare their methods with ours. We believe that this method can help professionals to expand the research," she concluded.
This research contributes to achieving Sustainable Development Goal (SDG) 3, Ensure healthy lives and well-being for all at all ages.
UOC R&I
The UOC's research and innovation (R&I) is helping overcome pressing challenges faced by global societies in the 21st century, by studyinginteractions between technology and human & social scienceswith a specific focus on thenetwork society, e-learning and e-health.
Over 500 researchers and51 research groupswork among the University'sseven faculties and two research centres: the Internet Interdisciplinary Institute (IN3) and the eHealth Center (eHC).
The University also cultivatesonline learning innovations at its eLearning Innovation Center (eLinC), as well asUOC community entrepreneurship and knowledge transfervia theHubbikplatform.
The United Nations'2030 Agendafor Sustainable Development andopen knowledgeserve as strategic pillars for the UOC's teaching, research and innovation. More information:research.uoc.edu#UOC25years
IEEE Journal of Biomedical and Health Informatics
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Artificial intelligence aids to diagnose mild cognitive impairment that progresses to Alzheimer's - EurekAlert
What empathy has to do with artificial intelligence – The National
The Middle East, like the rest of the world, is moving towards a post-Covid-19 future. As things return to normal, companies are turning their attention back to issues such as how to optimise digital experiences.
The Gulf Co-operation Council (GCC) nations are home to people from diverse cultures. Expatriates make up more than 85 per cent of the populations of many Gulf countries. Two hundred nationalities reside in the UAE alone. In Saudi Arabia, while figures vary, overseas citizens are said to make up about 30 per cent of the population.
Demographics like these present a unique challenge to enterprises that are looking to provide exceptional customer experiences (CX) to their consumers.
Tourists at the water fountain display near the Burj Khalifa, in Dubai. Bloomberg
As digital business models become the norm, customers are interested in better online and mobile-app experiences. To meet this demand, organisations must ensure a consistent experience, not only across languages spoken, but across the expectations of people from disparate cultural traditions.
Ideally, the complexities of customer service would be solved by hiring a diverse workforce, but this can be impractical. It would mean, for example, that in the UAE, each customer-service team would need 200 employees, each of a different nationality.
In such culturally diverse markets, business stakeholders need to find creative ways to cater to the range of customers, and in the digital age, this invariably means through technology.
By analysing the body language and speech of participants, AI can also help team members from different cultures collaborate
Last year, KPMG released a study on the KSA insurance sector, which revealed that 76 per cent of chief executives in the Middle East believe customer engagement in the future will be supported by virtual platforms.
When businesses do not have the means to hire huge, culturally diverse teams of customer care agents, then technologies like Artificial Intelligence (AI) can provide the solution. AI can improve the work of a customer care executive and guide him or her towards success in engagements that may not have been possible had the agent been working alone.
Technology systems that simulate and even surpass human intelligence have come a long way. They are now gaining commercial acceptance in industries, from construction to health care. Natural language processing the technology that, along with machine-learning, makes conversational AI possible has evolved too.
Accuracy and usability are now at a stage where the underlying technology can automatically pick up not only multiple languages, but variations in tone, stress, and dialects.
Technologies such as conversational AI software are attuned to cultural nuances and other audio and visual cues that allow it to discern a customers emotional state, attitude and even intent.
A performance at Global Village in Dubai, where different cultures are showcased in the pavilions from across the world. Chris Whiteoak / The National
With such capabilities, virtual conversational assistants can guide agents through interactions with people who speak different languages and, due to varied cultural backgrounds, are used to different standards of customer service. For example, some customers may favour a more personal touch while others might prefer more formality.
Now that the digital economy has allowed customers to switch their engagement instantly from one brand to another with a swipe or a click, companies are under pressure to ensure that every experience is positive.
Personalisation is a major element of positive customer engagement. The customer must feel that the "person" on the line understands their needs: what they want, what they dont, what they might want and why they might want it.
None of this is possible without that basic capability of human agents to engage in conversation and connect with people in a way that makes them feel comfortable, otherwise known as building a rapport. Building a rapport, however, can sometimes hinge on the agents ability to immerse themselves in each interaction. This is easier when people are supported by AI systems that provide them with context while automating background tasks such as note taking, finding the right knowledge resources, etc.
Organisations know that if they can make their service more relatable, they can increase brand loyalty and ambassadorship.
Today, organisations can embed AI assistants in their contact centres and work with employees to make them more effective in serving customer needs. Machine intelligence can thus enable agents to focus on being more empathic and deliver positive results.
By analysing the body language and speech of participants, AI can also help team members from different cultures collaborate better and even suggest how best to increase engagement with customers.
The Middle East has long taken pride in its cultural diversity. The companies that serve people as consumers can further this positive perception by ensuring customers receive the exemplary customer service, even the kind that might surpass customer experiences they might receive in their home countries.
Machine intelligence has the capacity to mimic human talents. Today, it can take empathy, undoubtedly one of our key human traits, further. By picking up on verbal subtle nuances in body language and tone, AI can help us understand one another and improve the experiences we have as customers.
Published: April 25, 2022, 8:00 AM
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What empathy has to do with artificial intelligence - The National
SparkCognition Partners with The University of Texas at Austin to Advance Artificial Intelligence (AI) and Rob – PR Newswire
Texas Robotics to leverage SparkCognition's HyperWerx facility, bringing together the physical world with leading-edge AI technology for development and education
AUSTIN, Texas, April 28, 2022 /PRNewswire/ --SparkCognition, a global leader in artificial intelligence (AI) software solutions perfected for business, announced today a partnership withTexas Robotics at The University of Texas at Austin (UT Austin). The partnership's focus will be on advancing artificial intelligence in robotics and its practical industry applications. Efforts will include both primary research on long-term autonomy and student education, utilizing SparkCognition's HyperWerx facility, an AI proving ground for everything from robotics to unmanned aerial vehicles (UAVs), and factory automation to oil and gas exploration, located on 50 acres in the greater Austin area.
"Commercial advancements in AI and robotics are introducing capabilities that promise to enable widespread access to safer, more sustainable and productive workplaces," said Dr. Peter Stone, a professor in the university's Department of Computer Science and Director of Texas Robotics. "HyperWerx allows us the opportunity to evaluate our robotics innovations via hands-on experiments under realistic conditions, thus enriching our understanding of what these systems are capable of, as well as facilitating educational experiences."
Texas Robotics represents researchers and students from multiple departments and colleges at UT Austin, including in the Cockrell School of Engineering and the College of Natural Sciences and its Department of Computer Scienceranked a top-10 department. The group offers world-class education and innovative research emphasizing long-term autonomy and human-robot interaction, targeting practical applications across various industrial use cases. Through its Industrial Affiliate Program, Texas Robotics works with its partners to address real-world robotics challenges in the industrial sector advancing AI in roboticsa global marketexpected to grow from $7.3B in 2021 to $16.45B by 2025.
SparkCognition's HyperWerx campus is a first-of-its-kind facility committed to fostering design, development, experimentation, and commercialization of AI-enabled physical solutions. The complex works closely with industry, partners, and universities to provide interactive research environments and hands-on lab spaces. Through its collaboration with Texas Robotics, UT Austin students will have access to industry and technology experts and the latest equipment for aerial and terrestrial development at HyperWerx.
"Texas Robotics is a great representation of the university's dedication to innovation in robotics and the use of artificial intelligence to fuel industrial change," said Prof. Bruce Porter, Chief Science Officer at SparkCognition and two-time Chair of UT Computer Science. "By bringing this investment in innovation to our HyperWerx facility, the university can accelerate their research through physical experimentation and close collaboration, ultimately advancing the commercialization of robotics into society."
To learn more about SparkCognition, visitwww.sparkcognition.com.
To learn more about Texas Robotics, visitrobotics.utexas.edu.
About SparkCognitionSparkCognition's award-winning AI solutions allow organizations to predict future outcomes, optimize processes, and prevent cyberattacks. We partner with the world's industry leaders to analyze, optimize, and learn from data, augment human intelligence, drive profitable growth, and achieve operational excellence. Our patented AI, machine learning, and natural language technologies lead the industry in innovation and accelerate digital transformation. Our solutions allow organizations to solve critical challengesprevent unexpected downtime, maximize asset performance, optimize prices, and ensure worker safety while avoiding zero-day cyberattacks on essential IT and OT infrastructure. To learn more about how SparkCognition's AI solutions can unlock the power in your data, visit http://www.sparkcognition.com.
Contact InfoCara SchwartzkopfCommunications Manager[emailprotected]251-501-6121
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SparkCognition Partners with The University of Texas at Austin to Advance Artificial Intelligence (AI) and Rob - PR Newswire
[Research Report] How Operators are Putting CX First with Biometrics and Artificial Intelligence – The Fast Mode
Customer care is becoming increasingly influential in shaping customer experience (CX) as care channels proliferate and as digitalization continues to revolutionize operator-subscriber communication. With the rapid growth in the number of subscriber-operator interactions, there is a strong demand for new levels of seamlessness, security and personalization in accessing and using these channels.
To address this need, operators are turning to advanced technologies, namely biometrics and artificial intelligence (AI)/machine learning (ML). Biometrics delivers seamless authentication and verification of subscribers, increasing convenience and reducing fraud risks. AI/ML on the other hand, enables automation which allows customization and personalization, for a more consistent and superior experience.
This report "How Operators are Putting CX First with Biometrics and Artificial Intelligence" takes a deep dive into the adoption of these technologies among cable, fixed and mobile operators. Based on a survey of 211 operator respondents from North America, South America, EMEA and Australia, it assesses the following:
Findings from this report provide valuable insight into how operators can leverage biometrics and AI/ML-based intelligence to transform their customer care, and deliver CX outcomes.
The Fast Mode and Nuance Communications will be presenting detailed findings from the report in an upcoming exclusive webinar for operators entitled "Biometrics and AI/ML-based Intelligence for Operator CX" featuring expert speakers from the industry. Register here to reserve your slot.
3d ago / Research Reports / By Ray Sharma
Schlumberger Expands Global AI Innovation Network with Opening of Artificial Intelligence Center in Europe – Yahoo Finance
Expanding the Benefits of Enterprise-Scale AI: Agile, Collaborative Development to Extract Maximum Value from Data
HOUSTON, April 29, 2022--(BUSINESS WIRE)--Schlumberger today announced it has expanded its global INNOVATION FACTORI network with the inauguration of a new center in Oslo, Norway.
"At INNOVATION FACTORI, customer teams will benefit from an agile, collaborative development approach with our domain and data science experts to address their strategic demands, such as drilling automation, digital twins for production optimization, and carbon capture and storage modeling," said Rajeev Sonthalia, president, Digital & Integration, Schlumberger. "Through INNOVATION FACTORI, customers can turn promising concepts into fully deployed digital solutions that extract maximum value from data to drive a major leap in business performance and, in turn, sustainability."
Schlumberger customers will gain access to a powerful machine learning platform with market leading AI capabilities. Through its partnership with Dataiku, a world leader in "Every Day AI," Schlumberger will empower its customers to leverage a single, centralized platform to design, deploy, govern, and manage AI and analytics applications.
Schlumbergers INNOVATION FACTORI network expansion comes after its successful inauguration of two AI centers in the Americas, one in Rio, Brazil, and a recently opened AI center in Houston, Texas. These centers compliment the global network of experts in Abu Dhabi, Beijing and Kuala Lumpur.
About Schlumberger
Schlumberger (SLB: NYSE) is a technology company that partners with customers to access energy. Our people, representing over 160 nationalities, are providing leading digital solutions and deploying innovative technologies to enable performance and sustainability for the global energy industry. With expertise in more than 120 countries, Schlumberger collaborates to create technology that unlocks access to energy for the benefit of all.
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Cautionary Statement Regarding Forward-Looking Statements
This press release contains "forward-looking statements" within the meaning of the federal securities lawsthat is, any statements that are not historical facts. Such statements often contain words such as "expect," "may," "can," "believe," "plan," "estimate," "intend," "anticipate," "should," "could," "will," "likely," "goal," "objective," "aspire," "aim," "potential," "projected" and other similar words. Forward-looking statements address matters that are, to varying degrees, uncertain, such as forecasts or expectations regarding the deployment of, or anticipated benefits of, digital technologies and partnerships. These statements are subject to risks and uncertainties, including, but not limited to, the inability to recognize intended benefits from digital strategies, initiatives or partnerships; and other risks and uncertainties detailed in Schlumbergers most recent Forms 10-K, 10-Q, and 8-K filed with or furnished to the U.S. Securities and Exchange Commission. If one or more of these or other risks or uncertainties materialize (or the consequences of any such development changes), or should underlying assumptions prove incorrect, actual results or outcomes may vary materially from those reflected in our forward-looking statements. The forward-looking statements speak only as of the date of this press release, Schlumberger disclaims any intention or obligation to update publicly or revise such statements, whether as a result of new information, future events or otherwise.
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Contacts
Giles Powell Director of Corporate Communication, Schlumberger LimitedTel: +1 (713) 375-3494communication@slb.com
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