On Oct. 3, 1950, three scientists at Bell Labs in New Jersey received a U.S. patent for what would become one of the most important inventions of the 20th century — the transistor. John Bardeen, ...

Michele Governale receives funding from the MacDiarmid Institute for Advanced Materials and Nanotechnology. Ulrich Zuelicke receives funding from Te Whai Ao - Dodd-Walls Centre for Photonic and ...

The days of cheap transistors are over as TSMC jacks up prices on its most advanced wafers and signals the end of Moore’s Law’s cosy promise of faster and cheaper chips. TSMC, which hoovered up more ...

A Planet Analog article, “2N3904: Why use a 60-year-old transistor?” by Bill Schweber, inspired some interest in this old transistor and how it’s commonly used, and if any uncommon uses might exist.

Semiconductor equipment suppliers are poised to benefit from Nvidia's investment in Intel. The buildout of AI infrastructure requires global investment in semiconductor manufacturing. Equipment ...

A new device concept opens the door to compact, high-performance transistors with built-in memory. (Nanowerk News) Transistors, the building blocks of modern electronics, are typically made of silicon ...

MIT engineers have developed a magnetic transistor that could pave the way for smaller, faster, and more efficient electronics. By replacing silicon with a magnetic semiconductor, the team created a ...

Transistors, the building blocks of modern electronics, are typically made of silicon. Because it's a semiconductor, this material can control the flow of electricity in a circuit. But silicon has ...

Abstract: We propose a novel transistor-level synthesis method to minimize the number of transistors needed to implement a digital circuit. In contrast with traditional standard cell design methods or ...

TL;DR: NVIDIA's Blackwell Ultra GB300 GPU, unveiled at Hot Chips 2025, delivers 50% faster AI performance than its predecessor with 20,480 CUDA cores, 5th Gen Tensor Cores, and up to 288GB HBM3E ...

TL;DR: AMD's Instinct MI350 series AI accelerators, built on TSMC's advanced N3P process, deliver enhanced AI performance with 185 billion transistors, up to 288GB HBM3E memory, and superior power ...