Category Technology/Electronics

Feline-inspired vision technology enhances accuracy in challenging environments, paving the way for smarter, more efficient autonomous systems

Researchers have unveiled a vision system inspired by feline eyes to enhance object detection in various lighting conditions. Featuring a unique shape and reflective surface, the system reduces glare in bright environments and boosts sensitivity in low-light scenarios. By filtering unnecessary details, this technology significantly improves the performance of single-lens cameras, representing a notable advancement in robotic vision capabilities.

Autonomous systems like drones, self-driving cars, and robots are becoming more common in our daily lives...

The future of wireless technology—from charging devices to boosting communication signals—relies on the antennas that transmit electromagnetic waves becoming increasingly versatile, durable and easy to manufacture. Researchers at Drexel University and the University of British Columbia believe kirigami, the ancient Japanese art of cutting and folding paper to create intricate three-dimensional designs, could provide a model for manufacturing the next generation of antennas.

Recently published in the journal Nature Communications, research from the Drexel-UBC team showed how kirigami—a variation of origami—can transform a single sheet of acetate coated with conductive MXene ink into a flexible 3D microwave antenna whose transmission frequency can be adju...

The word laser usually conjures up an image of a strongly concentrated and continuous light beam. Lasers that produce such light are, in fact, very common and useful. However, science and industry often also require very short and strong pulses of laser light.

These pulses can be used to machine materials or to create high harmonic frequencies up to X-rays, which can help to make extremely fast processes in the attosecond range (a billionth of a billionth of a second) visible.

A team of researchers at ETH Zurich led by Ursula Keller, professor at the Institute for Quantum Electronics,...

A team of engineers at AI inference technology company BitEnergy AI reports a method to reduce the energy needs of AI applications by 95%. The group has published a paper describing their new technique on the arXiv preprint server.

As AI applications have gone mainstream, their use has risen dramatically, leading to a notable rise in energy needs and costs. LLMs such as ChatGPT require a lot of computing power, which in turn means a lot of electricity is needed to run them.

As just one example, ChatGPT now requires roughly 564MWh daily, or enough to power 18,000 American homes...