Communications of the ACM

When Adaptive Algorithms Outsmart Their Creators

Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

STMicroelectronics’ hybrid controller simplifies full-feature implementation of USB-C sink premium applications

New ST-patented hybrid mode relieves software development for USB PD advanced features;  Updated ST-proprietary ...
IEEE

XAI-Enhanced Machine Learning for Obesity Risk Classification: A Stacking Approach With LIME Explanations

Abstract: Obesity remains a critical global health challenge, necessitating early risk assessment to guide preventive measures and mitigate potential complications. While various research endeavors ...
The Diplomat

China’s ‘Frugal Stack’ and Its Path to AI Diffusion

At a meeting in Beijing, the architects of China’s AI ecosystem outlined a new path to AI dominance – one that avoids U.S.
Opinion

Use the Boolean stack to build AI your board can trust

Yes, that Boolean logic. The one you probably first encountered as a student: True or False, AND, OR, NOT. The kind of rigid, unforgiving digital logic that underpins every transistor in every device ...
IEEE

SLAM: Sales Lead AMplification Through GenAI and ML for e-Learning Platforms

Abstract: In the competitive landscape of contemporary business, predictive analytics, particularly in sales lead prediction, has become instrumental for enhancing sales effectiveness and maximizing ...
GitHub

A hierarchical tool stacking framework that explores whether multiple small language models can collaborate to achieve performance comparable to large frontier models like GPT-4o.

This project implements a Hierarchical Tool Stacking approach to enhance small language model performance on complex reasoning tasks. Instead of relying on a single large model, we: Key Insight: Small ...