Third are sensory reconstruction interfaces, such as restoring hearing or vision. For patients who have lost sensory input, ...

If there was one thing that dramatically improved my network-attached storage (NAS) setup, it was learning to treat the NAS like what it truly excels at: reliable, always-on storage. Synology makes ...

Recently recognized with a CES 2026 Innovation Award, the solution combines video decoding, AI inference, and encoding on a single chip, offering 80% hardware cost savings compared to GPU ...

Data centers power everyday life, and their energy use is rising fast. Trane Technologies' Scott Smith explains what drives data center energy consumption, why cooling matters and how smarter systems ...

Abstract: Steady-state visual evoked potentials (SSVEP)-based brain-computer interfaces (BCIs) have the potential to be utilized in various fields due to their high accuracies and information transfer ...

Computational optics represents a shift in approach where optical hardware and computational algorithms are designed to work together, enabling imaging capabilities that surpass those of traditional ...

Abstract: The relentless advancement of wireless mobile communication technology, evolving from 1G to 5G and now venturing into 6G, has prompted an exploration of massive random-access (MRA) ...

Inspired by how DNA can pack massive quantities of information into tiny amounts of material, chemists have been working for years on ways to use molecules for data storage. They’ve investigated ...

What is the problem that this feature solves? I'm new to ML/NN/DL so forgive me if this has been asked (for) before. I did try to google and look through existing issues... I'm using TensorFlow/Keras ...