For Enterprise AI, It’s Not The LLM, It’s The Context

Enterprise AI agents are often framed as a model problem. We’re told that the leap from building chatbots to agentic systems depends on better reasoning, larger context windows, and smarter benchmarks ...

Evolving Hardware Languages In The Age Of AI And LLMs

This is not about replacing Verilog. It’s about evolving the hardware development stack so engineers can operate at the level of intent, not just implementation.
InfoWorld

19 large language models for safety or danger

These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...
IEEE

Transformer-Based Multi-Modal Deep Learning Framework for Early Disease Prognosis Using EHR and Medical Imaging Data

Abstract: Early and accurate disease prognosis remains a critical challenge in modern healthcare, especially when clinical data is high-dimensional, heterogeneous, and incomplete. This paper proposes ...
IEEE

A Novel Vision Transformer Based Multimodal Fusion Approach for Clinical MDD Diagnosis Using EEG and Audio Signals

Abstract: Major Depressive Disorder (MDD) is a debilitating mental health condition characterized by persistent sadness, anhedonia, and cognitive impairments that significantly disrupt daily ...