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Category: robotics/AI – Page 511

NVIDIA Gears Up For $50 Trillion “AI Automation” Market, CEO Says That Blackwell Will Be The “Most Successful” Product In Firm’s History

NVIDIA’s CEO Jensen Huang believes that the AI frenzy will automate a whopping $50 trillion worth of companies, stating that Blackwell will play a dominant role.

NVIDIA Isn’t Taking The Foot of The AI Accelerator Pedal Any Time Soon, Plans To Take Blackwell’s Adoption To a Whole New Level

NVIDIA has undoubtedly managed to pick up a market that will progress rapidly in the future. Not only is every big tech firm, whether Microsoft or Amazon, forced into the race of “AI automation,” but the demand for adequate computing power is rising massively.

Video Shows China’s Rifle-Equipped Robot Dog Opening Fire on Targets

China has released video footage of its rifle-toting robot dogs, and it’s about as scary as you were probably imagining.

Last week, Agence France-Presse reported that China had flaunted the gun-carrying robodogs in a 15-day joint military exercise with Cambodia dubbed the “Golden Dragon.”

And if images of the literal killing machines weren’t troubling enough, a new video of the robots released yesterday by the state-owned broadcaster China Central Television shows the killing machine dutifully hopping and diving, leading teams in reconnaissance, and shooting its back-strapped machine gun at targets.

Soft, stretchy electrode simulates touch sensations using electrical signals

A team of researchers led by the University of California San Diego has developed a soft, stretchy electronic device capable of simulating the feeling of pressure or vibration when worn on the skin. This device, reported in a paper published in Science Robotics (“Conductive block copolymer elastomers and psychophysical thresholding for accurate haptic effects”), represents a step towards creating haptic technologies that can reproduce a more varied and realistic range of touch sensations.

The device consists of a soft, stretchable electrode attached to a silicone patch. It can be worn like a sticker on either the fingertip or forearm. The electrode, in direct contact with the skin, is connected to an external power source via wires. By sending a mild electrical current through the skin, the device can produce sensations of either pressure or vibration depending on the signal’s frequency.

Soft, stretchable electrode recreates sensations of vibration or pressure on the skin through electrical stimulation. (Image: Liezel Labios, UC San Diego Jacobs School of Engineering)

A Technique for more Effective Multipurpose Robots

With generative AI models, researchers combined robotics data from different sources to help robots learn better. MIT researchers developed a technique to combine robotics training data across domains, modalities, and tasks using generative AI models. They create a combined strategy from several different datasets that enables a robot to learn to perform new tasks in unseen environments.

Let’s say you want to train a robot so it understands how to use tools and can then quickly learn to make repairs around your house with a hammer, wrench, and screwdriver. To do that, you would need an enormous amount of data demonstrating tool use.

Existing robotic datasets vary widely in modality — some include color images while others are composed of tactile imprints, for instance. Data could also be collected in different domains, like simulation or human demos. And each dataset may capture a unique task and environment.

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