A research team from HKU Engineering has pioneered a fundamentally new imaging strategy known as AIMED (Arbitrary illumination microscopy with encoded depth), which utilizes a sub-sampling approach.

MIT's MeMo framework trains a compact memory model that boosts LLM performance by up to 26.73% without retraining, with major implications for crypto AI agents.

MIT's MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining and see a 26% performance gain, researchers say.

In the late 1940s—when computer engineers were grappling with unreliable hardware and noisy transmission environments—a team ...

Celebrity gossip might break the Internet, but not in the way that quantum computers could. “The advent of quantum computers ...

Professor Kenneth Wong A research team from HKU Engineering has pioneered a fundamentally new imaging strategy known as AIMED (Arbitrary ...

How to check your Windows PC for expiring security certificates - a big one ends in June ...

Video streaming technology is everywhere, but the patents behind it continue to face scrutiny under Section 101. In BitHarmony, LLC v.

Two IBM quantum processors working in concert with two supercomputers simulate a protein-ligand system with 12,000 atoms ...

Reframing 360 drone footage can feel like trying to solve a Rubik’s Cube. When I first started editing spherical clips, it ...

Researchers have created a compact chip that manipulates light-based quantum information with remarkable precision, advancing ...

Some people can recall almost every day of their adult lives with startling precision. Give them a date, and they can often ...