The summer of 2026 brings these latest Raspberry Pi HATs that offer new capabilities extending from AI inferencing and ...

Running, running, every day, we keep running to work, school, and college. In this busy routine, many of us do not even have enough time to eat breakfast properly. Then where do we find the time to ...

What if a device could see the world the same way humans do, seeing objects, recognizing them, and understanding what they are in real time? Just like our eyes capture visuals and our brain instantly ...

A 17-year-old student has developed TRASHbot, an AI-powered robot designed to tackle litter in public spaces. This autonomous ...

Cyanogen is a company that customizes Android ROM, its product CyanogenMod ( Often referred to as "CM") is an open code system based on the Android mobile device platform. In December 2016, Cyanogen ...

Abstract: Automated classification of Electrocardiogram (ECG) for arrhythmia monitoring is the core of cardiovascular disease diagnosis. Machine Learning (ML) is widely used for arrhythmia detection.

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

The new platform classifies radio-frequency signals using less than a watt of power (Representational image).Getty Images Australia-based technology company BrainChip has launched a new hardware ...

Agentic LLMs keep failing the same way because they lack specific, reusable capabilities. Stanford's TRACE diagnoses those gaps from an agent's own trajectories, synthesizes one verifiable training ...

A Microsoft study found command-line AI coding agents were linked to more merged pull requests, but adoption and review capacity shaped the results. If you can only read one tech story a day, this is ...

Agentic LLMs keep failing the same way because they lack specific, reusable capabilities. Stanford's TRACE diagnoses those gaps from an agent's own trajectories, synthesizes one verifiable training ...