MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...

A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

The key idea is that temperature differences act as inputs, and the resulting heat diffusion produces the output ...

MIT engineers use heat-conducting silicon microstructures to perform matrix multiplication with >99% accuracy hinting at ...

The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Making a gourmet-level latte at home might seem difficult, but it's a whole lot easier (and tastier) when you know which ...

Not everyone will write their own optimizing compiler from scratch, but those who do sometimes roll into it during the course ...

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...