Quantum computers struggle because their qubits are incredibly easy to disrupt, especially during calculations. A new ...

For AI factories, the stakes are higher because the payloads are richer, including foundation model weights and finetunes, ...

"In the field of electric propulsion systems for UAVs, not the most energy-efficient engine control methods are used today. Therefore, our goal was to develop a method for achieving significant energy ...

From Nylon to Neural Networks Defining the Landscape The Hawthorne Effect in the Bathroom Manual Toothbrush vs.

Engineered DNA can store massive amounts of data while also encrypting it, opening the door to ultra-secure, long-term ...

The European Network of Transmission System Operators for Electricity published a report on instability detection technologies to help countries with high renewable energy shares maintain grid ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

The near-constant stream of takes from content creators has come to frame the primary between Jasmine Crockett and James ...

Digital twins have moved far past the stage of theory. They’re already influencing how cities take shape, how factories ...

The placement of the battery introduces new challenges for engineers, such as packaging, structural reinforcement and crash ...

The Hyundai Group, with its automotive brand Kia, is working on perfecting assisted driving and is introducing its system ...