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.

Ending a year in which it celebrated its fifth birthday, the Innovative Optical and Wireless Network project releases details ...

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

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

In this paper, we present VerifyBench, a benchmark specifically designed to evaluate the accuracy of reference-based reward systems. To create VerifyBench, we curated a diverse collection of ...

Microsoft Corp. today showcased its vision of an agentic artificial intelligence future for everyday consumers with the launch of its newest model Fara-7B, which can run locally on personal computers ...

In 2024, Microsoft introduced small language models (SLMs) to customers, starting with the release of Phi (opens in new tab) models on Microsoft Foundry (opens in new tab), as well as deploying Phi ...

There was a time when the Tesla Model Y made the most sense for EV shoppers. When it arrived for 2020, the SUV offered compelling range and charging speeds, a spacious cabin, and a tablet-like ...

Researchers at Google Quantum AI have used their Willow quantum computer to help interpret data from Nuclear Magnetic Resonance (NMR) spectroscopy, a mainstay of chemistry and biology research. The ...

Google's new AI model can interact directly with website UIs. It joins similar tools from OpenAI and Anthropic. The company also admitted its weaknesses, including hallucinations. Google DeepMind has ...

Abstract: Network forensics and diagnostics play a critical role in enabling operators to locate the root causes of attacks or service disruptions by analyzing logs and evidence of various devices.