If you've ever worried "not your keys, not your coins," these 2026 wallets—like the ultra-secure Coldcard Q and ...

I didn’t want to build another loud kid’s app. I wanted to build something that felt like sitting beside your child while they figure things out.” — Basudeb Ghosh PITTSBURGH, PA, UNITED STATES, ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development of computational models inspired by the brain's layered organization, also ...

For the past few years, the recipe for building smarter artificial intelligence has been simple: make it bigger. Add more ...

Nvidia announced DLSS 4.5 at CES today, an update to its deep learning super sampling (DLSS) feature that improves image ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see AgentBench FC. For reproducing the ...

Abstract: A generative deep learning (GDL)-enabled approach is developed for the multi-objective synthesis of dual-polarized, wide-angle loop-family frequency selective surfaces (FSSs) by proposing a ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Abstract: In recent years, rapid urbanization has led to increased traffic congestion, rendering traditional traffic light control methods ineffective. Deep Reinforcement Learning (DRL) has emerged as ...

Introduction: To improve the early prediction of hypertensive disorders of pregnancy (HDP) and gestational diabetes mellitus (GDM), we developed and validated an artificial intelligence (AI) model.