Lifeboat Foundation

And he wants Meta to open source it.

“We have built up the capacity to do this at a scale that may be larger than any other individual company”

External research has pegged Meta’s H100 shipments for 2023 at 150,000, a number that is tied only with Microsoft’s shipments and at least three times larger than everyone else’s. When its Nvidia A100s and other AI chips are accounted for, Meta will have a stockpile of almost 600,000 GPUs by the end of 2024, according to Zuckerberg.

Continue reading “Mark Zuckerberg’s new goal is creating artificial general intelligence” »

GDC has released its annual State of the Game Industry survey.

Survey says AI and layoffs are developers’ biggest concerns.

A collaboration between Toyota, READY Robotics, and NVIDIA could bring unprecedented realism to robotic simulations.

AI becomes the decoder to predict treatment response.

Believe it or not, some types of cancers can grow resistant to chemotherapy.

Deciphering when cancer might toughen up against chemotherapy is pretty tricky. Even though researchers and doctors notice some hints and clues about resistance, predicting the exact moment is a bit like trying to hit a bullseye with a blindfold.

Continue reading “Scientists use AI to predict when cancer cells will resist chemotherapy” »

NASA’s ARMADAS team revolutionizes space construction! Inchworm-like robots autonomously build structures using digital assembly systems.

The European Commission has officially signed an agreement to develop a new program to connect the various assets of EU-member state military forces.

LATACC will boost European military collaboration, focusing on rapid response and tech innovation in ‘high-intensity’ conflicts.

URI-led team pioneers deep-sea research, revolutionizing species discovery with rapid tissue capture and 3D imaging technologies.

Dive into the future of deep-sea discovery! URI team, led by Prof. Phillips, unveils cutting-edge tech for instant species identification.

The system combines trajectory optimization and enhanced reinforcement learning to improve how ANYmal chooses its leg positions and footholds.

In the field of robotics, the development of legged robots stands as a formidable challenge. The dynamic and agile movements observed in animals prove difficult to replicate through conventional human-made methods.

Researchers at ETH Zurich have now used an innovative control framework that has helped an autonomous robot, ANYmal, to traverse challenging terrains seamlessly.

Continue reading “ANYmal: Robot tackles tricky terrains powered by ETH Zurich’s new system” »

The autonomous setup constructs and links hollow lattice blocks, adeptly disassembling and repurposing them as needed for efficient functionality.

The researchers envision their new system as revolutionizing material life cycles, fostering sustainability, and furthering space exploration.