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It also says that it has a healthy pipeline for chips in the future.

Search engine giant Google has claimed that the supercomputers it uses to develop its artificial intelligence (AI) models are faster and more energy efficient than Nvidia Corporation’s. While processing power for most companies delving into the AI space comes from Nvidia’s chips, Google uses a custom chip called Tensor Processing Unit (TPU).

Google announced its Tensor chips during the peak of the COVID-19 pandemic when businesses from electronics to automotive faced the pinch of chip shortage.

AI-designed chips to further AI development

Continue reading “AI chip race: Google says its Tensor chips compute faster than Nvidia’s A100” | >

The resulting materials could be used for capturing greenhouse gases.

MIT researchers have used a computational model to identify about 10,000 possible metal-organic framework MOF structures that they classify as “ultrastable.” These states make them good candidates for applications such as converting methane gas to methanol.

“When people come up with hypothetical MOF materials, they don’t necessarily know beforehand how stable that material is,” said in a statement published on Tuesday Heather Kulik, an MIT associate professor of chemistry and chemical engineering and the senior author of the study.

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This novel technology looks like a sci-fi device. But it’s real.

It seems like something from a science fiction movie: a specialized, electronic headband and using your mind to control a robot.

Oonal/iStock.

A new study published in the journal ACS Applied Nano Materials took a step toward making this a reality. The team produced “dry” sensors that can record the brain’s electrical activity despite the hair and the bumps and curves of the head by constructing a specific, 3D-patterned structure that does not rely on sticky conductive gels.

Continue reading “Mind control: 3D-patterned sensors allow robots to be controlled by thought” | >

AI-related jobs are on the rise but funding has taken a dip.

The technology world goes through waves of terminologies. Last year, was much about building the metaverse until it turned to artificial intelligence (AI) which has occupied the top news spots almost everywhere. To know whether this wave will last or wither off, one needs to look at some trusted sources in the domain, such as the one released by Stanford University.

For years now, the Institute for Human-Centered Artificial Intelligence at Stanford has been releasing its AI Index on an annual basis.

Black_Kira/iStock.

Continue reading “New Stanford report highlights the potential, costs, and risks of AI” | >

Social media has already illustrated the harm that powerful technologies can do without the right safeguards, said the President.

U.S. President Joe Biden warned of the dangers of using artificial intelligence (AI) while putting the onus on making safe products on technology companies.

The White House/ Wikimedia Commons.

Although Musk was one of the co-founders of OpenAI. Recently the Tesla CEO co-signed a letter asking for a six-month moratorium on AI research and stopping companies from releasing products more powerful than GPT-4.

Continue reading “Joe Biden warns of AI dangers, urges tech companies to make safe products” | >

Researchers at Texas A&M University have discovered a 1,000% difference in the storage capacity of metal-free, water-based battery electrodes. These batteries are different from lithium-ion batteries that contain cobalt. The group’s goal of researching metal-free batteries stems from having better control over the domestic supply chain since cobalt and lithium are outsourced. This safer chemistry […].

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(0:00) Nick kicks off the show.
(1:24) Under the hood of ChatGPT
(7:53) What is a neural net?
(10:05) Cast.ai — Get a free cloud cost audit with a personal consultation at https://cast.ai/twist.
(11:33) Determining values and weights in a neural net.
(18:28) Vanta — Get $1000 off your SOC 2 at https://vanta.com/twist.
(19:33) Emulating the human brain.
(23:26) Defining computational irreducibility.
(26:14) Emergent behavior and the rules of language.
(31:49) Discovering logic + creating a computational language.
(38:10) Clumio — Start a free backup, or sign up for a demo at https://clumio.com/twist.
(39:38) Wolfram’s ChatGPT plugin.
(43:46) The rapid pace of AI
(58:45) The “Post-Knowledge Work” era.
(1:03:52) The unintended consequences of AI
(1:11:45) Rewarding innovation.
(1:16:12) The possibility of AGI
(1:20:07) Creating a general-purpose robotic system.

Check out Wolfram Research: https://www.wolfram.com/

FOLLOW Stephen: https://twitter.com/stephen_wolfram.
FOLLOW Jason: https://linktr.ee/calacanis.

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Continue reading “Stephen Wolfram on AI’s rapid progress & the “Post-Knowledge Work Era” | E1711” | >

Is artificial intelligence on the path to replacing people and jobs? Not quite. GSB professors argue that instead of viewing #AI as a competitor, we should be embracing it as a collaborator.

“The idea that AI is aimed toward automation is a misconception. There’s so much more opportunity for this technology to augment humans than the very narrow notion of replacing humans.” Professor Fei-Fei Li, co-director of the Stanford Institute for Human-Centered Artificial Intelligence.
Link to

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