To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Discover the groundbreaking concepts behind "Attention Is All You Need," the 2017 Google paper that introduced the ...

After just over a month of long meetings, sharp disagreements and hard-fought compromises, the Oregon Legislature adjourned ...

Morgan Stanley Technology, Media & Telecom Conference 2026 March 4, 2026 10:45 AM ESTCompany ParticipantsNeil Hunn ...

The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

The results include a comparison between two different basis functions for temporal selectivity and how these generate different predictions for the dynamics of neural populations. The conclusions are ...

A team of researchers at the University of California, Los Angeles (UCLA) has introduced a novel framework for monitoring ...

Cancer models are naturally existing or artificially induced systems that share features with human cancers. Experimental systems for studying human cancer include cell lines and organisms such as ...

Climate and Earth system modelling is the use of mathematical representations of key components and properties of the atmosphere, ocean and biosphere to construct computer models. These models – which ...