There's a lot of science news in seven days, so just because a new study isn't cited here on Saturday morning doesn't mean it didn't happen. A lot more has happened. But also, check out these four stories:
Quantum computers have the potential to solve complex problems in human health, drug discovery, and artificial intelligence millions of times faster than some of the world's fastest supercomputers. A network of quantum computers ...
After 10 months in orbit, the Starling spacecraft swarm successfully demonstrated its primary mission's key objectives, representing significant achievements in the capability of swarm configurations.
In the era of big data, signal processing faces significant challenges in terms of capacity and energy consumption due to the torrent of data to process. With over 90% of data transmitted through light, optical signal processing ...
Photonic quantum computers are computational tools that leverage quantum physics and utilize particles of light (i.e., photons) as units of information processing. These computers could eventually outperform conventional ...
Hundreds of millions of people will witness next week's total solar eclipse across North America, and solar physicists from around the globe are flocking to join them. Eclipses offer a brief glimpse of the sun's ghostly surrounding ...
Researchers at the Hong Kong University of Science and Technology (HKUST) have developed a new integration technique for efficient integration of III-V compound semiconductor devices and silicon, paving the way for photonic ...
A suite of NASA science instruments and technology demonstrations is on the way to our nearest celestial neighbor for the benefit of humanity. Through this flight to the moon, they will provide insights into the lunar surface ...
While image denoising algorithms have undergone extensive research and advancements in the past decades, classical denoising techniques often necessitate numerous iterations for their inference, making them less suitable ...
The bulk of the computing in state-of-the-art neural networks comprises linear operations, e.g., matrix-vector multiplications and convolutions. Linear operations can also play an important role in cryptography. While dedicated ...
