Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Chinese AI upstart MiniMax released a new large language model, joining a slew of domestic peers inspired to surpass DeepSeek in the field of reasoning AI.

MiniMax-M1 presents a flexible option for organizations looking to experiment with or scale up advanced AI capabilities while managing costs.

The optimization process progressively improves the model's long-term reasoning capability by learning from high-quality and informative reasoning examples. The training loop follows a curriculum ...

Beck, A. and Sabach, S. (2013) A First Order Method for Finding Minimal Norm-Like Solutions of Convex Optimization Problems. Mathematical Programming, 147, 25-46.

Microsoft’s “1‑bit” AI model runs on a CPU only, while matching larger systems Future AI might not need supercomputers thanks to models like BitNet b1.58 2B4T.

The NVIDIA TensorRT Model Optimizer (referred to as Model Optimizer, or ModelOpt) is a library comprising state-of-the-art model optimization techniques including quantization, distillation, pruning, ...

Pruna AI, a European startup that has been working on compression algorithms for AI models, is making its optimization framework open source on Thursday.

Microsoft Research has introduced BioEmu-1, a deep-learning model designed to predict the range of structural conformations that proteins can adopt. Unlike traditional methods that provide a ...

Keywords: computational model, microbe–drug associations, bilinear attention networks, nuclear norm minimization, prediction Citation: Liang M, Liu X, Li J, Chen Q, Zeng B, Wang Z, Li J and Wang L ...

The cost of encoding a system Hamiltonian in a digital quantum computer as a linear combination of unitaries (LCU) grows with the 1-norm of the LCU expansion. The Block Invariant Symmetry Shift (BLISS ...