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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.

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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.

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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.

Having machines turn text into speech is nothing new.

Professor Stephen Hawking communicated with a computerized voice for many years, and by now, we’re used to our GPS devices or smart speakers asking questions and responding to our queries.

What is different these days is that the quality of synthesized speech is improving, thanks to several companies using AI to create voice skins for enterprise companies and content creators that give more options for turning text into … See more.

Experts in the AI and Big Data sphere consider October 2021 to be a dark month. Their pessimism isn’t fueled by rapidly shortening days or chilly weather in much of the country—but rather by the grim news from Facebook on the effectiveness of AI in content moderation.

This is unexpected. The social media behemoth has long touted tech tools such as machine learning and Big Data as answers to its moderation woes. As CEO Mark Zuckerberg explained for CBS News, “The long-term promise of AI is that in addition to identifying risks more quickly and accurately than would have already happened, it may also identify risks that nobody would have flagged at all—including terrorists planning attacks using private channels, people bullying someone too afraid to report it themselves, and other issues both local and global.”

As a clarification, true self-driving cars are ones that the AI drives the car entirely on its own and there isn’t any human assistance during the driving task.

These driverless vehicles are considered Level 4 and Level 5 while a car that requires a human driver to co-share the driving effort is usually considered at Level 2 or Level 3. The cars that co-share the driving task are described as being semi-autonomous, and typically contain a variety of automated add-on’s that … See more.


Asphalt is all around us, that’s for sure.

Our highways are typically made of asphalt. Streets are made from asphalt. Parking lots. Airport runways. Even tennis courts and the very rooftops on our homes are oftentimes reinforced or entirely composed of some quite handy dandy asphalt.

Asphalt that is used to construct these various everyday elements is usually trucked to the location that needs the asphalt for building purposes.

None.


Scientists from Heidelberg and Bern have succeeded in training spiking neural networks to solve complex tasks with extreme energy efficiency. The advance was enabled by the BrainScaleS-2 neuromorphic platform, which can be accessed online as part of the EBRAINS research infrastructure.

Developing a machine that processes information as efficiently as the human brain has been a long-standing research goal towards true artificial intelligence. An interdisciplinary research team at Heidelberg University and the University of Bern led by Dr Mihai Petrovici is tackling this problem with the help of biologically-inspired artificial neural networks.

Spiking neural networks, which mimic the structure and function of a natural nervous system, represent promising candidates because they are powerful, fast, and energy-efficient. One key challenge is how to train such complex systems. The German-Swiss research team has now developed and successfully implemented an algorithm that achieves such training.

The first artificial Lab-Grown Meats have recently gotten into stores and markets for everyone to buy and eat. But until now, those meats were largely just chicken nuggets or similar types of meat. But with Future Meat Technologies’ latest crazy invention, this has changed. They managed to create a system that actually involves Artificial Intelligence, which grows almost 5,000 fully-fledged hamburgers a day without the environmental impact or regular food and meat.

Cultured meat is meat produced by in vitro cell cultures of animal cells (as opposed to meat obtained from animals). It is a form of cellular agriculture.
Cultured meat is produced using many of the same tissue engineering techniques traditionally used in regenerative medicines. It’s also occasionally called lab grown meat.

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.

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TIMESTAMPS:
00:00 The Best Burger of the Future.
01:29 History of Future Meat Technologies.
02:53 How Cultured Meat is made.
04:37 Where you can buy cultured Meat.
05:52 Advantages of Cultured Meat.
07:44 Last Words.

#weird #food #cultured