If we embrace the idea that consciousness is the fundamental fabric of the universe, our exploration of technology, particularly in the realms of artificial intelligence and virtual realities, takes on new significance.
The concept of teleological evolution, driven by a purpose or end goal, posits that the universe is not just a random assembly of matter and energy, but rather a carefully orchestrated symphony of consciousness.
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.
No one working on AI, including Zuckerberg, seems to have a clear definition for AGI or an idea of when it will arrive.
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.
But in what could be a game-changer, scientists at the University of California San Diego School of Medicine revealed today in a study that a high-tech machine learning tool might just figure out when cancer is going to give the cold shoulder to chemotherapy.
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.
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.
Negotiating surfaces ranging from staircases to foam blocks and rugged terrain, this robotic quadruped demonstrates a newfound agility and adaptability, showcasing the effectiveness of its upgraded control system.
