By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

Abstract: This paper proposes a framework for deep Long Short-Term Memory (D-LSTM) network embedded model predictive control (MPC) for car-following control of connected automated vehicles (CAVs) in ...

Nvidia ( NVDA) CEO Jensen Huang unveiled Alpamayo, a family of open models built for autonomous driving, during his keynote ...

Simple pharmaceutical interventions could help older brains cope with memory impairment and recovery after surgery, new ...

The programming language Rue combines the advantages of Rust with a simpler syntax. The compiler for it is being developed by ...

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.

Abstract: In order to represent the influences of different semantics on targets and improve the prediction with interpretability ability for multi-dimensional time series, we integrate Axiomatic ...

In 2026, investors should be looking at whether OpenAI will turn out to be a good ecosystem partner, he said, or if it's an "albatross in the making and something that's going to cause some serious ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

A nutrient-rich diet supports brain health and may help prevent chronic diseases linked to cognitive decline. Fatty fish, leafy greens, berries, and walnuts are especially beneficial due to their high ...