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 ...

Failure to get sufficient current to devices when they need it results in voltage droop, timing delays, and functional failures.

A liquid metal droplet that splits and merges to pump fluid offers a simple, low-voltage engine for powering soft robots, ...

It has taken eight years and $303 million in seed and three rounds of venture funding, but NextSilicon is today delivering ...

We created a comprehensive ESP32 CAM Telegram bot tutorial that can capture images and record custom-duration AVI videos, ...

Bihar’s journey from colonial exploitation to modern neglect shows how policy shaped its underdevelopment—and how new ...

The crisis has evolved from isolated use to systematic household penetration, with women now increasingly entangled in supply ...

The Russian–Ukrainian war has been marked by the unprecedented use of unmanned aerial vehicles. The effectiveness of drones ...

Silicon photonics production relies on advanced alignment techniques, optimizing precision and efficiency to meet the growing ...