Apple has quietly acquired a Mountain View-based startup, WaveOne, that was developing AI algorithms for compressing video.
Apple wouldn’t confirm the sale when asked for comment. But WaveOne’s website was shut down around January, and several former employees, including one of WaveOne’s co-founders, now work within Apple’s various machine learning groups.
WaveOne’s former head of sales and business development, Bob Stankosh, announced the sale in a LinkedIn post published a month ago.
Neuroscientist Sergiu P. Pasca has made it his life’s work to understand how the human brain builds itself — and what makes it susceptible to disease. In a mind-blowing talk laden with breakthrough science, he shows how his team figured out how to grow “organoids” and what they call brain “assembloids” — self-organizing clumps of neural tissue derived from stem cells that have shown the ability to form circuits — and explains how these miniature parts of the nervous system are bringing us closer to demystifying the brain.
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The “iPhone moment for A.I.” hype takes many hues, but Nvidia is about the future of computing itself. NVIDIA DGX supercomputers, originally used as an AI research instrument, are now running 24/7 at businesses across the world to refine data and process AI.
While OpenAI gets a lot of the glory, I believe the credit should go to Nvidia. Launched late last year, ChatGPT went mainstream almost instantaneously, attracting over 100 million users, making it the fastest-growing application in history. “We are at the iPhone moment of AI,” Huang said. Nvidia makes about $6 to $7 Billion a fiscal quarter in revenue.
Nvidia said it’s offering a new set of cloud services that will allow businesses to create and use their own AI models based on their proprietary data and specific needs. The new services, called Nvidia AI Foundations, include three major components and are meant to accelerate enterprise adoption of generative AI: Enterprises can use Nvidia NeMo language service or Nvidia Picasso image, video and 3D service to gain access to foundation models that can generate text or images based on user inputs.
Presented by Intel.
Every day around the world, companies leverage artificial intelligence to accelerate scientific discovery, and transform consumer and business services. Regrettably, the employment of AI is not occurring evenly. McKinsey’s ‘The State of AI in 2022’ report documents that adoption of AI by organizations has stalled at 50%. AI leaders are pulling ahead of the pack. One reason is 53% of AI projects fail to get to production. As the benefits of AI to everyone are too great and the issues with AI being in the hands of only a few are too concerning, that it is an opportune time to survey the challenges of going from concept to deployment.
For the first time, scientists at the University of Sydney.
The University of Sydney is a public research university located in Sydney, New South Wales, Australia. Founded in 1,850, it is the oldest university in Australia and is consistently ranked among the top universities in the world. The University of Sydney has a strong focus on research and offers a wide range of undergraduate and postgraduate programs across a variety of disciplines, including arts, business, engineering, law, medicine, and science.
Data analytics teams around the world are failing to bring value to their organisations. According to a survey by market research firm Gartner published on Wednesday, most data and analytics leaders reported that their teams do not provide effective value to the organisation. This is despite increased interest from the industry in investing in data and analytics to improve efficiency in business.
The research report noted that while the lack of available talent is the top impediment for which data and analytics teams are failing to add value to their firms, as reported by 39% of executives, other roadblocks, such as lack of resources and funding to support the programmes and lack of support from top management are also hindering data and analytics projects. Besides, culture challenges to accept change and overall poor data literacy in organisations are among other reasons why many of these projects continue to suffer.
At a time when technology companies are already facing the brunt of layoffs in the face of uncertain economic conditions, teams not performing well or failing to add value to the organisation can face dire consequences, believe experts.
Artificial intelligence (AI) solutions: https://ibm.biz/Solutions_with_IBM_AI
IBM Watson is AI for business: https://ibm.biz/IBM_and_Watson_AI_Are_we_there_yet.
Ask AI experts about the progress of artificial intelligence and they may say “We’re only five or ten years away.” Five or ten years later, are experts still saying the same thing? In this video with Martin Keen and Jeff Crume, they review the progress in AI and try to answer the question: Are we there yet?
Get started for free on IBM Cloud → https://ibm.biz/buildonibmcloud.
#AI #Software #Dev #lightboard #IBM #XForce #JeffCrume #MartinKeen
Verses Technologies Inc. (VERS) :
Gabriel Rene CEO
Chief Scientist CSO — Karl Friston.
Dan Mapes — Founder & President.
Capm Peterson — Chief Innovation Officer.
Scott Paterson Director.
VERSES Technologies Inc. (NEO: VERS) (OTCQX: VRSSF), a cognitive computing company specializing in the next generation of artificial intelligence, has announced a breakthrough in AI with the world’s first General Intelligent Agent, codenamed GIA™, (‘jee-yah’) designed to offer a new human-centered way for businesses and individuals to interact with technology.
Verses is a cognitive computing company specializing in next-generation artificial intelligence. Modelled after natural systems, and the design principles of the human brain and the human experience, Verses’ flagship offering, KOSM, is a network operating system for enhancing any application with adaptive intelligence. Built on open standards, KOSM transforms disparate data into a universal context that fosters trustworthy collaboration between humans, machines and AI, across digital and physical domains. Imagine a smarter world that elevates human potential through innovations inspired by nature.
https://www.verses.ai/
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(NEO: VERS)
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Many businesses struggle with demand forecasting. Whether you run a small business or a large enterprise, the challenge of predicting customer behavior and stock levels never gets easier. Even major organizations like Target and Walmart that are able to afford teams of data scientists have recently reported struggles with excess inventory due to poor demand forecasting.
During this time of global uncertainty, many businesses have adopted a just-in-case mindset. They’ve relied on archaic methods of forecasting, scouring old data and drawing poor conclusions based on past problems.
Do standard tests (like I.Q.) lie about how smart you really are? Do they show what you can really achieve? In this paradigm-shifting talk, UPenn psychologist Scott Barry Kaufman presents a new theory of human intelligence.
Scott Barry Kaufman is deeply interested in using psychological science to help everyone– all kinds of minds— live a creative, fulfilling, and meaningful life. A main takeaway from his work is that everyone is capable of creativity, the key is finding the thing that will let them shine the most.
Scott is the Scientific Director of the Imagination Institute and conducts research in the Positive Psychology Center at the University of Pennsylvania. His writing has appeared in The Atlantic, Scientific American, Psychology Today, and Harvard Business Review. His latest book is Wired to Create: Unraveling the Mysteries of the Creative Mind.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community.
