AI transformation depends on specialized chip innovation—power, cooling, cost, and design speed drive the next hardware era.

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...

Diacono's contributions to the OpenTelemetry project have garnered over 50,000 downloads, establishing him as a significant ...

Solving these issues isn’t as simple as replacing old hardware. A future-ready UPS strategy requires holistic thinking.

As artificial intelligence grows more powerful, so does its appetite for speed and energy. The quest for faster, smarter ...

The breakthrough brings Google a step closer to harnessing the processing power promised by quantum computing, also being ...

Researchers achieve the first complete 2D flash chip, which can be programmed in 20 nanoseconds with minimal energy ...

A recent ruling from the Michigan Supreme Court handed a crucial victory to everyday citizens in Marshall Township, breathing ...

The speedup was dramatic. The Lunar Laser Communication Demonstration (LLCD) set a downlink speed record of more than 600Mbit ...

Researchers from Ulsan National Institute of Science and Technology (UNIST) built an ultra-small hybrid low-dropout regulator (LDO) that uses a new digital-to-analog transfer (D2A-TF) method and a ...

In fact, the Central Bank of Venezuela — controlled by Chavismo and devoted to the government’s rhetoric — reports a ...