A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October. Lew and his ...
Modern consumer brands are confronting an uncomfortable truth: the products they once made for retail shelves often fail online. The search behavior, recommendation engines, AI assistants, and ...
Theoretical physicists develop mathematical models to describe material systems, which they can then use to make predictions about how materials will behave. One of the most important models is the ...
Researchers at the NTT Research Physics and Informatics (PHI) Lab and Tohoku University co-author paper outlining the capabilities of single photon Coherent Ising Machines (CIM). Paper reports ...
Abstract: The Ising model is useful in searching for (sub)-optimal solutions of combinatorial optimization problems (COPs). CMOS implementations of Ising model-based solvers, commonly referred to as ...
Abstract: An Ising machine (IM), as a type of analog computer tailored for tackling intractable combinatorial optimization problems, has attracted remarkable attention in recent years. In contrast to ...
A low-energy challenger to the quantum computer also works at room temperature. The researchers have shown that information can be transmitted using magnetic wave motion in complex networks. A ...
Reinforcement learning (RL) trains agents to make sequential decisions by maximizing cumulative rewards. It has diverse applications, including robotics, gaming, and automation, where agents interact ...
Maybe they should have called it DeepFake, or DeepState, or better still Deep Selloff. Or maybe the other obvious deep thing that the indigenous AI vendors in the United States are standing up to ...
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