The robot is controlled by a neural network trained in deep reinforcement learning via simulation.
Students at ETH Zurich are creating a robot that can move around in extremely low gravity by hopping like a human.
Continue reading “Spacehopper: Three-legged jumping robot to study asteroids in space” »
The design is intended to provide more computing power, bandwidth, and memory capacity to the chips. Initially, Meta aimed to perform inference functions such as ranking and generating responses to user prompts. Meta plans to use the chips for more intense operations, such as training AI models using large data sets.
A shift to its chips could help Meta save millions in energy costs every year, alongside the billions needed in capital expenditure to buy chips from Nvidia.
Meta isn’t the only tech company looking to design and build its own AI chips. Legacy chipmaker Intel, which has lagged in catering to industry requirements for AI chips, also announced its new Gaudi chips at an event on Tuesday.
“A crucial question we constantly face is how much we can curve the signal and over what distance,” acknowledges Mittleman. “We have initial estimations, but a more precise understanding is necessary.”
This research, supported by the National Science Foundation and the Air Force Office of Scientific Research, represents a significant step towards a future powered by terahertz communication. By bending the limitations of current technologies, researchers are paving the way for a new era of seamless and high-bandwidth wireless connectivity.
Tesla CEO Elon Musk — who has an abysmal track record for making predictions — is predicting that we will achieve artificial general intelligence (AGI) by 2026.
“If you define AGI as smarter than the smartest human, I think it’s probably next year, within two years,” he told Norway wealth fund CEO Nicolai Tangen during an interview this week, as quoted by Reuters.
The mercurial billionaire also attempted to explain why his own AI venture, xAI, has been falling behind the competition. According to Musk, a shortage of chips was hampering his startup’s efforts to come up with the successor of Grok, a foul-mouthed, dad joke-generating AI chatbot.
J. V. Neumann, Zur Theorie der Gesellschaftsspiele, 1928. Proved the existence of equilibrium in 2 players’ zero-sum games.
The birth of game theory.
The modern concept of Nash equilibrium is instead defined in terms of mixed strategies, where players choose a probability distribution over possible pure strategies (which might put 100% of the probability on one pure strategy; such pure strategies are a subset of mixed strategies). The concept of a mixed-strategy equilibrium was introduced by John von Neumann and Oskar Morgenstern in their 1944 book The Theory of Games and Economic Behavior, but their analysis was restricted to the special case of zero-sum games. They showed that a mixed-strategy Nash equilibrium will exist for any zero-sum game with a finite set of actions.[13] The contribution of Nash in his 1951 article “Non-Cooperative Games” was to define a mixed-strategy Nash equilibrium for any game with a finite set of actions and prove that at least one (mixed-strategy) Nash equilibrium must exist in such a game. The key to Nash’s ability to prove existence far more generally than von Neumann lay in his definition of equilibrium. According to Nash, “an equilibrium point is an n-tuple such that each player’s mixed strategy maximizes his payoff if the strategies of the others are held fixed. Thus each player’s strategy is optimal against those of the others.” Putting the problem in this framework allowed Nash to employ the Kakutani fixed-point theorem in his 1950 paper to prove existence of equilibria. His 1951 paper used the simpler Brouwer fixed-point theorem for the same purpose.[14]
DeepMind’s AI system achieved grandmaster-level chess playing ability by learning from playing against itself billions of times, challenging traditional AI development techniques and opening up possibilities for broader applications beyond chess Questions to inspire discussion What is the title of the video? —The title.
Researchers at the University of Würzburg have developed a method that can improve the performance of quantum resistance standards. It’s based on a quantum phenomenon called Quantum Anomalous Hall effect.
Things are slowly falling into place for the Polaris Program’s first mission, Polaris Dawn. The mission is nearing milestones that might finally give it a launch date that will actually hold.
Polaris Dawn, a private mission being paid for by Shift4 CEO Jared Issacman, who also paid for and flew on Inspiration4 in 2021. The goal of the mission is to fly higher than any human spaceflight since Apollo, perform the first private spacewalk, and conduct numerous science experiments in orbit.
Like Inspiration4, Polaris is partnering with SpaceX to complete this. Currently, SpaceX is the only company capable of this sort of feat. To do so, the company has modified its Dragon spacecraft to support spacewalk operations and develop an upgraded spacesuit to be used in the vacuum of space.
