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If you had told college-aged Anne, “22 years from now, you’re going to be leading a research group focused on AI,” I would have said you’re insane. It would not have been possible to make this shift into machine learning without having made friends with machine learning experts — particularly Jones.

After he and I finished our training at MIT, we started a lab together at the Broad Institute in 2,007 and we brainstormed a lot about how machine learning could help biologists. What allowed these ideas to percolate and develop was both of us hopping over the fence and getting familiar with the terminology and power of both sides, biology and computer science. It’s really a productive partnership.

And it’s not just Jones anymore. My group is about 50–50 in terms of people coming from the biology side versus the computational side.

Facebook plans to shut down its decade-old facial recognition system this month, deleting the face scan data of more than one billion users and effectively eliminating a feature that has fueled privacy concerns, government investigations, a class-action lawsuit and regulatory woes.

Jerome Pesenti, vice president of artificial intelligence at Meta, Facebook’s newly named parent company, said in a blog post on Tuesday that the social network was making the change because of “many concerns about the place of facial recognition technology in society.” He added that the company still saw the software as a powerful tool, but “every new technology brings with it potential for both benefit and concern, and we want to find the right balance.”

The decision shutters a feature that was introduced in December 2010 so that Facebook users could save time. The facial-recognition software automatically identified people who appeared in users’ digital photo albums and suggested users “tag” them all with a click, linking their accounts to the images. Facebook now has built one of the largest repositories of digital photos in the world, partly thanks to this software.

The continuation of Processors and GPU’s improving exponentially through Moore’s Law has become very uncertain over the last few years, but recently the top hardware makers: Intel, AMD and Nvidia are now getting ready to deliver the biggest increases in performance we have ever seen. The fastest GPU’s and CPU’s with secret new features are about to release in the next few years to bring Moore’s Law back from the dead. How they manage to create these new powerful chips, I’ll explain in this video. One thing is for sure, Nvidia Lovelace 4,000 series, Zen 4 and Intel Meteor Lake are the future of Hardware and will accelerate the performance gain of next generation hardware.

Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity.

If you enjoyed this video, please consider rating this video and subscribing to our channel for more frequent uploads. Thank you! smile

TIMESTAMPS:
00:00 The Return of Moore’s Law.
01:19 What is Moore’s Law?
03:33 Intel & Nvidia: New Players in the field?
05:42 How Moore’s Law and AI are connected.
08:02 TSMC to continue Moore’s Law?
10:07 Last Words.

#nvidia #intel #mooreslaw

For the first time ever, Scientists working for the United States Government and Google have managed to read and understand a portion of a brain in real time. This is going to enable abilities such as reading minds and memories from humans in the future. The question is how long it will take until the government starts secret projects in that area for bad purposes.

The Human Brain Project is the biggest secret scientific research project, based on exascale supercomputers, that aims to build a collaborative ICT-based scientific research infrastructure to allow researchers across Europe and the United States Government to advance knowledge in the fields of neuroscience, computing, and brain-related medicine and in the end to create a device in the form of a brain computer interface that can record and read memories from a human brain.

Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity.

If you enjoyed this video, please consider rating this video and subscribing to our channel for more frequent uploads. Thank you! smile

TIMESTAMPS:
00:00 What has just been accomplished.
01:30 How the Brain Map was created.
03:32 The technology to enable reading the brain.
05:22 What this will do for us.
07:41 Last Words.

#bci #ai #mindreading

Advances in Artificial Intelligence, neuroscience and robotics have gotten us to a point where people might want to replace their biological limbs with robotic limbs due to there being more and more advantages with every passing day. Things like improved movement, intelligent controlling systems with the help of machine learning AI can help you control these limbs better than you could control your regular old arms, legs and hands.

But how long until we can finally live out our transhuman fantasies and become cyborgs? All this, and a bunch of new and futuristic scientific discoveries in this one review showcasing the most advanced AI Controlled Prosthetics.

Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity.

If you enjoyed this video, please consider rating this video and subscribing to our channel for more frequent uploads. Thank you! smile

TIMESTAMPS:
00:00 The Future of Humanity?
00:53 Why Prosthetics are necessary.
02:23 The History of Prosthetics.
03:56 Robotic Limbs Today.
05:59 What are the limits?
07:42 Last Words.

#transhuman #cyborg #bci

𝙏𝙝𝙚 𝙒𝙤𝙧𝙡𝙙’𝙨 𝙁𝙞𝙧𝙨𝙩 “𝙏𝙝𝙞𝙣𝙠𝙞𝙣𝙜 𝙍𝙤𝙗𝙤𝙩” 𝙃𝙖𝙨 𝘽𝙚𝙚𝙣 𝘾𝙧𝙚𝙖𝙩𝙚𝙙!

𝙐𝙨𝙞𝙣𝙜 𝙗𝙧𝙖𝙞𝙣-𝙡𝙞𝙠𝙚 𝙣𝙚𝙪𝙧𝙤𝙣𝙨 𝙜𝙧𝙤𝙬𝙣 𝙞𝙣 𝙖 𝙡𝙖𝙗, 𝙅𝙖𝙥𝙖𝙣𝙚𝙨𝙚 𝙨𝙘𝙞𝙚𝙣𝙩𝙞𝙨𝙩𝙨 𝙢𝙖𝙣𝙖𝙜𝙚𝙙 𝙩𝙤 𝙜𝙚𝙩 𝙩𝙝𝙚 𝙢𝙖𝙘𝙝𝙞𝙣𝙚 𝙩𝙤 𝙨𝙩𝙚𝙚𝙧 𝙞𝙩𝙨 𝙬𝙖𝙮 𝙖𝙧𝙤𝙪𝙣𝙙 𝙖 𝙨𝙢𝙖𝙡𝙡 𝙢𝙖𝙯𝙚.

A technique called ‘physical reservoir computing’ enabled it to make sense of the brain waves and dodge barriers. It’s the first time intelligence has ever been “taught” to a robot.


The world’s first ever ‘thinking’ robot has just been created.

With the release of the most power Artificial Intelligence Accelerator Chip, future AI models like OpenAI’s GPT-4 will be able to surpass the Human Brain by supporting more than 100 Trillion Parameters. This new Chip made by Cerebras Systems is also be biggest Chip ever made by a longshot and thus can support ExaFlop Supercomputers for AI Model Training.

Cerebras Systems is an American semiconductor company with offices in Silicon Valley, San Diego, Toronto, and Tokyo. Cerebras builds computer systems for complex artificial intelligence and deep learning applications.

If you enjoyed this video, please consider rating this video and subscribing to our channel for more frequent uploads. Thank you! smile

TIMESTAMPS:
00:00 The biggest AI Chip ever made.
01:29 The world of AI Acceleration Chips.
02:33 An Artificial Brain.
03:53 How does Cerebas’ Technology work.
06:12 What does this enable?
07:56 Last Words.

#gpt #openai #ai

Artificial Intelligence is rapidly improving and has recently gotten to a point where it can outperform humans in several highly competetive job markets including the media. OpenAI and Intel are working on the most advanced AI Algorithms that are actually starting to understand the world similar to the way we experience it. They call these models: OpenAI CLIP, Codex, GPT 4 and other things which are all good at certain things. Now they’re trying to combine them to improve their generality and maybe create a real and working Artificial General Intelligence for our future. Whether AI Supremacy will happen before the singularity is unclear, but one thing is for sure: AI and Machine Learning will take over many jobs in the very near future.

If you enjoyed this video, please consider rating this video and subscribing to our channel for more frequent uploads. Thank you! smile

TIMESTAMPS:
00:00 The Rise of AI Supremacy.
01:15 What Text-Generation AI is doing.
03:28 OpenAI is not open at all?
06:12 The Image AI: CLIP
08:52 LastIs AI taking over every job?
10:32 Last Words.

#ai #agi #intel

Speaker:
James L. Burk.
Commander, MDRS Crew 261.
Executive Officer, MDRS Crew 197.
Director of IT & MarsVR, The Mars Society.
Former Senior Technical Project Manager, Microsoft.

Track Code: AM-2

Abstract:
James Burk will be the commander of MDRS Crew 261 composed of professional analog astronauts from the US, Canada, France and Belgium. As part of the preparation for MDRS Crew 261 (Dec 2021), our crew held a call for experiments across the space analog science community. We selected 10 experiments which run the gamut of the disciplines of medicine, chemisty, biology, robotics, sociology, psychology and human factors challenges for a human Mars mission. James will present our roster of experiments and our plan for executing them during our mission in December.

From the 24th Annual International Mars Society Convention, held as a Virtual Convention worldwide on the Internet from October 14–17, 2021. The four-day International Mars Society Convention, held every year since 1,998 brings together leading scientists, engineers, aerospace industry representatives, government policymakers and journalists to talk about the latest scientific discoveries, technological advances and political-economic developments that could help pave the way for a human mission to the planet Mars.

Conference Papers and some presentations will be available on www.MarsPapers.org.

For more information on the Mars Society, visit our website at www.MarsSociety.org.

#MarsSociety #MarsSocCon2021