Lifeboat Foundation

The lawsuit is one of the most direct challenges to Musk’s decision to start xAI, and it comes on the heels of his threat to develop AI outside of Tesla unless he is awarded more voting control over the company.

The suit was also filed just a few hours before Tesla is scheduled to host its annual…

Tesla shareholders are suing CEO Elon Musk and the company’s board over the creation of xAI, a new artificial intelligence company, as reported by TechCrunch.

Continue reading “Tesla shareholders: What Elon Musk is doing is like CEO of Coca-Cola CEO starting a rival soda company and sending ingredients to it” »

A Finnish startup called Flow Computing is making one of the wildest claims ever heard in silicon engineering: by adding its proprietary companion chip, any CPU can instantly double its performance, increasing to as much as 100x with software tweaks.

If it works, it could help the industry keep up with the insatiable compute demand of AI makers.

Flow is a spinout of VTT, a Finland state-backed research organization that’s a bit like a national lab. The chip technology it’s commercializing, which it has branded the Parallel Processing Unit, is the result of research performed at that lab (though VTT is an investor, the IP is owned by Flow).

Karleigh Fry pioneers robotic neurosurgery:

An 8-year-old girl from Oklahoma has become the world’s first pediatric patient to undergo robotic deep brain stimulation (DBS).

Continue reading “World’s 1st pediatric robotic brain surgery performed on Oklahoma girl” »

Researchers have demonstrated a new intelligent photonic sensing-computing chip that can process, transmit and reconstruct images of a scene within nanoseconds. This advance opens the door to extremely high-speed image processing that could benefit edge intelligence for machine vision applications such as autonomous driving, industrial inspection and robotic vision.

Edge computing, which performs intensive computing tasks like image processing and analysis on local devices, is evolving into edge intelligence by adding artificial intelligence (AI) driven analysis and decision-making.

“Capturing, processing and analyzing images for edge-based tasks such as autonomous driving is currently limited to millisecond-level speeds due to the necessity of optical-to-electronic conversions,” said research team leader Lu Fang from Tsinghua University in China. “Our new chip can perform all these processes in just nanoseconds by keeping them all in the optical domain. This could be used to significantly enhance, or even replace, the traditional architecture of sensor acquisition followed by AI post-processing.”

Washington state leads the nation in apple production, and in 2022, the industry contributed more than two billion dollars to the U.S. gross domestic product. Throughout Washington, farms employ anywhere from a dozen to hundreds of workers each year for orchard operations, including for pollination, pruning, flower thinning and fruit harvesting. With an aging population and a decrease in migrant farm workers, however, farmers have struggled to meet their needs for workers during harvest season.

In recent years, researchers have started developing robotic apple harvesting systems, but the ones that have been developed are expensive and complex to use in orchards.

Ninatanta, who grew up in Yakima, Washington, picked fruit alongside his parents during his childhood. When he began his work with Luo on a robotic apple gripper, he had his parents videotape their work, so he could model his gripper on their handiwork.

Machine learning revolutionizes distance measurement in astronomy, providing precise estimates for gamma-ray bursts and aiding in cosmic exploration.

The advent of artificial intelligence (AI) has been hailed by many as a societal game-changer, as it opens a universe of possibilities to improve nearly every aspect of our lives.

Astronomers are now using AI, quite literally, to measure the expansion of our universe.

As machine learning models are becoming mainstream tools for molecular and materials research, there is an urgent need to improve the nature, quality, and accessibility of atomistic data. In turn, there are opportunities for a new generation of generally applicable datasets and distillable models.

Some scientists speculate that the strange happenings in this microscopic realm may hold the key to understanding consciousness. But scant evidence has left the majority skeptical.

That includes Christof Koch, Ph.D., meritorious investigator at the Allen Institute. As he wrote in his recent book, Then I am myself the world, “the brain is wet and warm, hardly conducive to subtle quantum interactions.”

Continue reading “Quantum mechanics and the puzzle of human consciousness” »

AI and crypto combined could add a total of $20 trillion to the global economy by 2030, the report said. Bitwise notes that bitcoin miners have all the resources that AI firms need. Crypto and AI have the potential to intersect in other areas other than mining such as information validation and virtual assistants.

The two industries could add a collective $20 trillion to global GDP by 2030, the report said.