Toggle light / dark theme

Computer chip maker Nvidia has rocketed into the constellation of Big Tech’s brightest stars while riding the artificial intelligence craze that’s fueling red-hot demand for its technology.

The latest evidence of Nvidia’s ascendance emerged with Wednesday’s release of the company’s quarterly earnings report. The results covering the May-July period exceeded Nvidia’s projections for astronomical sales growth propelled by the company’s specialized chips—key components that help power different forms of artificial intelligence, such as Open AI’s popular ChatGPT and Google’s Bard chatbots.

“This is a new computing platform, if you will, a new computing transition that is happening,” Nvidia CEO Jensen Huang said Wednesday during a conference call with analysts.

Lots of experts on AI say it can only be as good as the data it’s trained on — basically, it’s garbage in and garbage out.

So with that old computer science adage in mind, what the heck is happening with Google’s AI-driven Search Generative Experience (SGE)? Not only has it been caught spitting out completely false information, but in another blow to the platform, people have now discovered it’s been generating results that are downright evil.

Case in point, noted SEO expert Lily Ray discovered that the experimental feature will literally defend human slavery, listing economic reasons why the abhorrent practice was good, actually. One pro the bot listed? That enslaved people learned useful skills during bondage — which sounds suspiciously similar to Florida’s reprehensible new educational standards.

Nvidia’s second-quarter earnings, which were reported Wednesday after markets closed, prove there is money to be made — and lots of it — selling the picks and shovels of the generative AI boom.

“A new computing era has begun. Companies worldwide are transitioning from general-purpose to accelerated computing and generative AI,” Nvidia founder and CEO Jensen Huang said in a statement.

Huang isn’t wrong. Nvidia has become the main supplier of the generative AI industry. The company’s A100 and H100 AI chips are used to build and run AI applications, notably OpenAI’s ChatGPT. Demand for these demanding applications has grown steadily over the last year, and infrastructure is shifting to support them.

Scientists use AI-powered brain-computer interface (BCI) to decipher speech.

Brain chips, a current research focus, are used for recording brain activity and treating several neurodegenerative diseases. In May this year, a man who lost the ability to talk because of a motorcycle incident stood up after 12 years thanks to brain implants that provided a bridge for communication between his brain and spinal cord.

Another area in which brain implants have shown significant potential is deciphering speech. Decoding brain signals to speech.


Gremlin/iStock.

The company calls it the iPhone of bots as development partners will further applications of this humanoid robot.

Texas-based Apptronik unveiled its first commercial humanoid robot designed to complement the industrial workforce by doing repetitive tasks that humans do not want to do, a press release said. The bot is pocket-friendly and aims to be interaction friendly, making it easier to work alongside humans even in some of the toughest environments, a definite competitor for Tesla’s humanoid bot Optimus.

The use of robotics in industrial workspaces is inevitable, and companies such as Amazon have already deployed them in large numbers to increase the efficiency of their operations. A … More.


The team conceptualized this robot based on real dogs’ motor control processes.

Robotic dogs are considered valuable future assets in various fields, including warfare, package delivery services, and search and rescue operations, to name a few. And the ones with the dexterity to navigate on extremely rough terrain could be game-changers for future space exploration.

A team of engineers has unveiled a dog-inspired quadruped robot adept at running without aid or even motors. This distinguishes this prototype from others that rely on control motors to maintain their running stride.

Only five bots will be made and are priced at $2.5 million a piece.

Japanese company Tsubame pulls this straight from science fiction and makes Transformer-like mecha robots. The first, dubbed Archax, has a cockpit where a human can sit to pilot the bot and, at the touch of a button, can even take a different form. Although not with the finesse, the Autobots manage with animation in the movie franchise.

Fans of Japanese culture might be aware of the importance of giant mechanical robots in the country’s entertainment scene and how they have become a genre in themselves. Japanese companies, known for their expertise in robotics, have also delved into building real-world replicas of these, but nothing constructed so far has come as close to what Tsubame has achieved.

Discussion with Joscha Bach and Yulia Sandamirskaya, both Intel, at the Festival of the Future 2022 by 1E9 and Deutsches Museum.

When cognitive computing meets neuromorphic computing: In their indepth dialogue at the Festival of the Future Joscha Bach, Principal AI Engineer at Intel, and his colleague Yulia Sandamirskaya, who works as a Research Scientist at Intel in Munich approach the new era of AI from two fascinatingly different angles.

Joscha Bach / Principal AI Engineer, Cognitive Computing, Intel Labs.
Joscha Bach, PhD, is a cognitive scientist and AI researcher with a focus on computational models of cognition. He has taught and worked in AI research at Humboldt University of Berlin, the Institute for Cognitive Science in Osnabrück, the MIT media lab, the Harvard Program for Evolutionary Dynamics and is currently a principal AI researcher at Intel Labs, California.

Yulia Sandamirskaya /Research Scientist, Intel.