Keumars Afifi-Sabet

Scientists engineer the 'purest ever silicon' to build reliable qubits that can be manufactured to the size of a pinhead on a chip and power million-qubit quantum computers in the future.

How can we truly know if AI is sentient? We do not yet fully understand the nature of human consciousness, so we cannot discount the possibility that today's AI is indeed sentient — and that we are mistreating it to potentially grave consequences.

Scientists built a "smart filter" that can work with a cheap smartphone camera to transform low-resolution photos into supersharp images without glare and other issues.

Scientists in Japan have transferred data at 100 gigabits per second in high-frequency wavelength bands over a distance of 330 feet for the first time.

Scientists have designed a physical qubit that behaves as an error-correcting "logical qubit," and now they think they can scale it up to make a useful quantum computer using a few hundred.

Mercedes-Benz has sold at least one of its new vehicles fitted with its Drive Pilot autonomous driving software, which lets you take your hands off the steering wheel and your eyes off the road.

Scientists want to replace electrons with so-called 'nanobubbles' — or skyrmions — to store data more densely and efficiently in advanced memory components that would replace RAM and flash storage.

Intel's Hala Point neuromorphic computer is powered by more than 1,000 new AI chips and performs 50 times faster than equivalent conventional computing systems.

Boston Dynamics replaces its flagship humanoid robot after 10 years with a completely new machine that looks like the Pixar lamp with a mechanical humanoid body.

Using pulse current charging, or a constant current divided with a few short breaks, lithium-ion batteries hold up better over hundreds of charging cycles and can last twice as long.

The creators of the Taichi chiplet claim it's more energy-efficient and scalable than other photonic components and can be used to train superhuman AI models in the future.

Short, stumpy robots learned how to play soccer — and improved their skills dramatically thanks to a new AI training technique that combines several pre-existing methods.

IBM's latest System One quantum computer is based at the Rensselaer Polytechnic Institute (RPI) and is the 1st IBM quantum machine to be installed at a university campus in the U.S.

Scientists used a technique called 'active syndrome extraction' to build four logical qubits from 30 physical ones and run 14,000 experiments without detecting a single error.

The researchers hit a rate of 301 terabits per second — equivalent to transferring 1,800 4K movies over the internet in one second — using existing fiber-optic cables.

Quantum computers will break encryption one day. But converting data into light particles and beaming them around using thousands of satellites might be one way around this problem.

Scientists have built a framework that gives generative AI systems like DALL·E 3 and Stable Diffusion a major boost by condensing them into smaller models — without compromising their quality.

New chip design uses photons rather than electrons to perform calculations, and scientists hope to integrate the technology into future graphics cards to train AI.

This 14-inch wireless charging device works at a rate of 100 kW, scientists claim, meaning it's up to 10 times as fast as some of the best commercially available alternatives.

Scientists trained an AI system to think before speaking with a technique called QuietSTaR. The inner monologue improved common sense reasoning and doubled math performance.

By letting different processing units — like GPUs, NPUs and hardware accelerators — work in parallel, rather than in sequence, systems can be up to twice as fast and consume 50% less energy.

Scientists built an app that let them control a robot using hand gestures while wearing the Apple Vision Pro VR headset.

Cerebras' Wafer Scale Engine 3 (WSE-3) chip contains four trillion transistors and will power the 8-exaFLOP Condor Galaxy 3 supercomputer one day.

Scientists used AI neural networks to teach a robot dog new tricks, enabling it to climb wooden crates and hop between them.

The new processor stores data in modified DNA molecules and uses microfluidic channels to perform basic computations.