AI supercomputer network performance has become a blocker to training larger AI models. Analytically modeling such networks is virtually impossible, and the cost and time of building prototypes is ...
Abstract: Physics-informed neural networks (PINNs) have great potential for flexibility and effectiveness in forward modeling and inversion of seismic waves. However, coordinate-based neural networks ...
The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.
At the University of Arizona, a new lab is giving scientists the tools to predict the future of life on Earth. The Data ...
Scientists have warned H5N1 bird flu could make a dangerous leap to humans, triggering a global health crisis.
According to Anand Kannappan, CEO and co-founder of Patronus AI, for agents to perform tasks at human-comparable levels, they ...
To simulate the behavior of physical systems more accurately than ever, Kobe University YAGUCHI Takaharu and his team have developed an approach that can learn physically accurate computation methods ...
SAN FRANCISCO, Nov 20 (Reuters) - IBM (IBM.N), opens new tab and Cisco Systems (CSCO.O), opens new tab on Thursday said they plan to link quantum computers over long distances, with the goal of ...
One of the most influential science studies of all time started with a modest minicomputer, some simulated boxes of water molecules, and a grand vision for computer-aided chemistry. The year was 1982.
Europe’s first exascale supercomputer has just smashed a global quantum benchmark, simulating a full 50-qubit universal quantum computer for the first time. The feat pushes classical computing to its ...
New research from UBC Okanagan mathematically demonstrates that the universe cannot be simulated. Using Gödel’s incompleteness theorem, scientists found that reality requires “non-algorithmic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results