The race to build AI that simulates reality, not text, has become venture capital's loudest 2026 bet. Here is the market map.

Multi-agent systems, designed to handle long-horizon tasks like software engineering or cybersecurity triaging, can generate up to 15 times the token volume of standard chats — threatening their ...

Mamba is a new state space model architecture showing promising performance on information-dense data such as language modeling, where previous subquadratic models fall short of Transformers. It is ...

Chinese e-commerce giant Alibaba's Qwen team of AI researchers has emerged in the last year as one of the global leaders of open source AI development, releasing a host of powerful large language ...

The numerical prediction of turbulent flows presents a challenging task. Fully resolving all scales of turbulence using direct numerical simulation (DNS) remains prohibitively expensive 1 for all but ...

⚠️ A thorough tutorial and explanation of Lie groups, Lie algebras, and geometric priors for deep learning models is beyond the scope of this article. Instead, the following sections concentrate on ...

The main objective of this code is to provide different identification methods to build linear models of dynamic systems, starting from input-output collected data. The models can be built as transfer ...

This work will be of interest to the motor control community as well as neuroAI researchers interested in how bodies constrain neural circuit function. The authors present "MotorNet", a useful ...

Isotopic composition modelling is a key aspect in many environmental studies. This work presents Isocompy, an open source Python library that estimates isotopic compositions through machine learning ...

Based on the East Coast, Joshua Ko has been an automotive writer for MakeUseOf for over a year and is a die-hard European car enthusiast. He primarily covers car tips and tricks and DIYs. After ...