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Armv9 Is Arm's First Major Architectural Update In A Decade - AI Summary

#artificialintelligence

Arm is a chip architecture company that licenses its designs to others, and its customers have shipped more than 100 billion chips in the past five years. The new architecture has processing that balances economics, design freedom, and accessibility advantages of general-purpose computing devices with specialized processors that handle tasks like digital signal processing and machine learning. At the current rate, 100% of the world's shared data will soon be processed on Arm; either at the endpoint, in the data networks or the cloud, Segars said. Back in 2011, Arm launched its 64-bit processing architecture, enabling Arm devices to make the leap from low-power mobile devices to high-end supercomputers. To address the greatest technology challenge today -- securing the world's data -- the Armv9 roadmap introduces the Arm Confidential Compute Architecture (CCA).


IBM and MBZUAI join forces to advance AI research with new center of excellence

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MBZUAI has announced plans for a strategic collaboration with IBM (NYSE: IBM). Senior leaders from both organizations signed a Memorandum of Understanding aimed at advancing fundamental AI research, as well as accelerating the types of scientific breakthroughs that could unlock the potential of AI to help solve some of humanity's greatest challenges. Professor Eric Xing, President of MBZUAI, delivered short remarks, as did Jonathan Adashek, IBM's Senior Vice President and Chief Communications Officer, and Saad Toma, General Manager, IBM Middle East, and Africa. The agreement was then signed by Sultan Al Hajji, Vice President for Public Affairs and Alumni Relations at MBZUAI and Wael Abdoush, General Manager IBM Gulf and Levant. "The creation of a center of excellence between MBZUAI and IBM is a natural next step in the evolution of the UAE's groundbreaking AI university. The partnership will strengthen MBZUA's capacity to make practical contributions to the country's sustainable economic development. Working with IBM, MBZUAI will aim to deliver tangible results in wide-ranging sectors, including healthcare, biotech, digital and financial services. Importantly, this collaboration will help also develop the highly skilled talent we need to lead the Fourth Industrial Revolution," HE Dr. Sultan bin Ahmed Al Jaber, UAE Minister of State and Chairman of the Board of Trustees of MBZUAI said.


Think you can spot content written on AI? The truth is you've probably already read a lot of it

#artificialintelligence

Analysis - Two years ago this weekend, GPT-3 was introduced to the world and although you may not have heard of it there's a good chance you've read its work. It is likely that you have already read work composed by AI model, GPT-3. Or you may have used a website that runs GPT-3 code, or even conversed with it through a chatbot or a character in a game. GPT-3 is an AI model - a type of artificial intelligence - and its applications have quietly trickled into our everyday lives over the past couple of years. In recent months, that trickle has picked up force: more and more applications are using AI like GPT-3, and these AI programmes are producing greater amounts of data, from words, to images, to code.


Think you can spot content written by AI? The truth is you've probably already read a lot of it

#artificialintelligence

Two years ago this weekend, GPT-3 was introduced to the world. You may not have heard of GPT-3, but there's a good chance you've read its work, used a website that runs its code, or even conversed with it through a chatbot or a character in a game. GPT-3 is an AI model -- a type of artificial intelligence -- and its applications have quietly trickled into our everyday lives over the past couple of years. In recent months, that trickle has picked up force: more and more applications are using AI like GPT-3, and these AI programs are producing greater amounts of data, from words, to images, to code. A lot of the time, this happens in the background; we don't see what the AI has done, or we can't tell if it's any good.


Tom Cruise's Existential Need for Speed

The New Yorker

On July 3rd, Tom Cruise will be sixty years old. The fact that he does not look it, at all, even in IMAX closeups so tight you can study the grain of his tooth enamel, adds a note of cognitive dissonance to "Top Gun: Maverick," the long-aborning sequel in which he's called back to mentor a squad of younger stick-jockeys who address him as Pops and Old-Timer until he wins their respect in the air. Even for a physical performer like Cruise, sixty is no longer an expiration date. Mick Jagger blew by that milestone in 2003, as did Sylvester Stallone in 2006, and, thanks presumably to healthy habits and/or medical technology dreamt of only by science fiction, they're both still out there, doing a version of the kind of thing they've always done. But the level of performance expected of a Rolling Stone or an Expendable is one thing, and the work that Tom Cruise appears to demand of himself is something else entirely.


Core Challenges in Embodied Vision-Language Planning

Journal of Artificial Intelligence Research

Recent advances in the areas of multimodal machine learning and artificial intelligence (AI) have led to the development of challenging tasks at the intersection of Computer Vision, Natural Language Processing, and Embodied AI. Whereas many approaches and previous survey pursuits have characterised one or two of these dimensions, there has not been a holistic analysis at the center of all three. Moreover, even when combinations of these topics are considered, more focus is placed on describing, e.g., current architectural methods, as opposed to also illustrating high-level challenges and opportunities for the field. In this survey paper, we discuss Embodied Vision-Language Planning (EVLP) tasks, a family of prominent embodied navigation and manipulation problems that jointly use computer vision and natural language. We propose a taxonomy to unify these tasks and provide an in-depth analysis and comparison of the new and current algorithmic approaches, metrics, simulated environments, as well as the datasets used for EVLP tasks. Finally, we present the core challenges that we believe new EVLP works should seek to address, and we advocate for task construction that enables model generalizability and furthers real-world deployment.


The Download: Driverless cars' AI plan, and stretching cells with a robotic shoulder

MIT Technology Review

Why you don't really know what you know October 2020 What does it really mean to know anything? How well can we understand the world when so much of our knowledge relies on evidence and argument provided by others? These questions matter not only to scientists. Many other fields are becoming more complex, and we have access to far more information and informed opinions than ever before. Yet at the same time, increasing political polarization and misinformation are making it hard to know whom or what to trust.


'Algorithm Queen': Robot artist Ai-Da creates an portrait of Elizabeth II to mark Platinum Jubilee

Daily Mail - Science & tech

A robot artist has created an eerie new portrait of Queen Elizabeth II, to mark the monarch's Platinum Jubilee. Entitled'Algorithm Queen', the portrait was painted by Ai-Da, the humanoid robot artist created by gallery director Aidan Meller in 2019. Ai-Da uses cameras in her eyes and computer algorithms to process human features, and transform what she'sees' into co-ordinates. She then uses these coordinates to calculate a virtual path for her robotic arm, as it draws and paints onto canvas to create pieces of art. This is the first time in history a humanoid robot has painted a member of the Royal Family.


Verint Partners Recognised for Excellence at EMEA Summit

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Verint, The Customer Engagement Company, celebrated its partners across the EMEA region and announced the organisations honoured for their achievements in supporting Verint solutions and helping customers succeed. The awards were presented during the company's Partner Summit event held in Mallorca, 11-13 May. "During our Annual Partner Awards, we applaud our partners for their great work across a wide range of industries, customer environments, and technologies. In reflecting on the successes of the past year, the judging panel selected each winner based on their expertise, proven track record and focus on customer success." The judging panel selected each winner based on their expertise, proven track record and focus on customer value during the past year.


Data Engineer

#artificialintelligence

Plum Guide is on a mission to build the definitive collection of the world's most remarkable homestays. We are taking a systematic approach to vetting every single home on the planet and accepting only the top 3%. We do it by putting every home in a destination through a systematic vetting process, which includes identifying candidate homes through proprietary AI, interviewing hosts and sending our Home Critics to visit and test nominated homes in person. Since then we have grown incredibly quickly; expanded to 345 locations in 29 countries; tested over 600,000 homes; and developed a customer experience that's returning the highest NPS scores in the industry. We are a small but high performing team who work with every team across the business as well as building our own projects.