Enterprise software is undergoing a major transformation as machine learning becomes deeply embedded into core digital products. Organizations are no longer using ML only for experimental analytics; ...

Embedded-systems designers are on a mission to squeeze powerful AI algorithms into resource-constrained gadgets, relying on cutting-edge custom hardware accelerators and high-level synthesis to push ...

A wave of recent research has brought robotic touch sensitivity closer to human fingertips than ever before, driven by graphene-based composites and machine learning that let artificial skins detect ...

Interview Kickstart Publishes Comprehensive 2026 Career Guide. A structured roadmap outlines how infrastructure expertise translates into ...

Qeexo spun out of Carnegie Mellon University, has for a long time developed multi-touch technology for handset manufacturers which does ML on the device level. It has applied this approach to a new ...

How tinyML differs from mainstream machine learning. How tinyML is being applied. What are some of the better-known tinyML frameworks, and where can you get more information? In the ebb and flow of ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

The Indian Institute of Technology Kharagpur has announced the launch of a new school dedicated to digital learning, applied ...

Launching a digital wallet today involves far more than enabling payments. As the digital wallet trends 2026 show high adoption of digital wallets, so do the challenges like increasingly sophisticated ...

Indian Institute of Technology Kharagpur on Tuesday announced the launch of a school of digital learning, applied artificial intelligence and machine .