Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

Abstract: The precise forecasting of solar energy holds significant importance for photovoltaic power plants, facilitating early engagement in energy auctions and cost-efficient resource planning. Due ...

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

AI projects are not for the faint-hearted – they need to be properly resourced with the different skills required: data ...

3. Timeliness and currency: Outdated information undermines AI performance. In fast-changing fields, models that rely on ...

The exchange between LeCun and Hassabis underscores broader differences in how the pair view the path to achieving artificial ...

Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...