Neuromorphic Chips and 'Brain‑Like' Computing: How Next‑Gen Chips May Change Phones, Robots, and IoT Devices

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Can Scientists Detect Life Without Knowing What it Looks Like? Research Using Machine Learning Offers a New Way

LifeTracer is not a universal life detector. Rather, it provides a foundation for interpreting complex organic mixtures. The ...
New Atlas

Device provides gesture control that works, even if you can't sit still

So, imagine you’re Tony Stark, operating your armored, high-tech exoskeleton to fly through the skies by using your helmet’s ...

Machine learning model predicts protein binding on gold nanoclusters

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
GlobalSpec Insights

Machine learning helping locate what cannot be seen

The key idea behind our framework is that life produces molecules with purpose, while nonliving chemistry does not. Cells ...

Is this real? How generative AI is growing and the risks to Iowans

Generative AI is everywhere, especially online, where it has been used to imitate humans. Chances are you’ve seen it yourself ...

Quantum mechanical molecular 'fingerprints' solve machine learning mystery

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...
Communications of the ACM

Can Generative Watermarking Make a Mark?

Gunn is part of a research team at UC Berkeley that has developed an undetectable watermark for generative image models. The ...