Patterns of neural activity called theta oscillations have a role in memory encoding but – contrary to current thinking – do not appear to have a role in memory retrieval.

Retrieval-Augmented Generation (RAG) is critical for modern AI architecture, serving as an essential framework for building ...

This article discusses that applying principles from neuroscience, specifically neuroplasticity, can significantly enhance ...

For almost a century, psychologists and neuroscientists have been trying to understand how humans memorize different types of information, ranging from knowledge or facts to the recollection of ...

Large Language Models (LLMs) have transformed natural language processing, but their limitations, such as fixed training data and lack of real-time updates, pose challenges for certain applications.

Reinforcement Learning with Verifiable Rewards (RLVR) has recently strengthened LLM reasoning, but its focus on final answer correctness leaves a critical gap: it does not ensure the robustness of the ...

With a scarf dangling from your coat pocket and those gloves left behind at the coffee shop, there are simply more things to lose in winter. That’s not counting your misplaced keys at home or those ...

Retrieval-Augmented Generation (RAG) models often suffer from reward sparsity and inefficient credit assignment when optimized with traditional outcome-based Reinforcement Learning (RL).

Cisco has expanded its AI-infused cybersecurity offerings as it looks to empower security teams to work smarter. Chief among the updates is an updated version of its security-optimized Foundation line ...