Innatera adopts Synopsys simulation technology to help design neuromorphic chips that enable low-power AI for wearables, smart home devices, and digital twin industrial sensors. K ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

Abstract: In this paper, we propose a compact model for feedback field-effect transistors (FBFETs), based on a gated recurrent unit (GRU) neural network, enabling fast and accurate circuit-level ...

Throughout the 20th century, each decade had its own unique set of inventions that left their mark on history. Curious about ...

Enabling scalable power for AI computing and next-generation robotics Our new GaN integrated circuits enable more ...

New research shows 2D carbon materials can store electrical states, reshaping how AI chips manage power and lower electricity ...

Recent decades have witnessed rapid advancements in high-intensity laser technology. The combination of laser irradiation and novel materials is opening exciting avenues for the design of functional ...

AI plays a huge role in the semiconductor industry, both by facilitating more efficient development processes and as a target application in development work. This is why the Fraunhofer Heilbronn ...

The industry’s response is to split compute, memory, and I/O across dies, XPU chiplets are pushing toward the reticle limit, and stitch it all together with high‑bandwidth, energy‑efficient die‑to‑die ...

Over periods up to 10 years, tech doesn’t reliably outperform coal, gas and oil – and over longer terms tech usually underperforms energy.

A single breakthrough won’t define the future of electronic devices. Trailblazers must combine innovative engineering and ...

Researchers demonstrate that femtosecond laser-induced transient Pauli blocking can achieve ultrafast, broadband optical ...