AZoOptics

Researchers Design AI-Driven Photonic Crystal Fiber Modulator

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

Google Tested Its AI Tutor In Real Classrooms. It Worked

Google says its AI tutor delivered a year of math progress in eight weeks. I asked the DeepMind researcher behind the trial ...
PCMag

I Clustered Two Nvidia DGX Spark AI Boxes in My Living Room. Here's What Happened

Daisy-chaining two of Dell's Nvidia GB10 DGX Spark systems didn't just pump up my home AI lab—it fundamentally changed how I ...
China Daily Global Edition

China unveils software platform to boost use of homegrown supercomputing chips

China unveiled a comprehensive software platform in Beijing on Monday aimed at overcoming a long-standing bottleneck in its ...
IEEE

Design and Development of a Deep Learning-Based Model for Anomaly Detection in IoT Networks

Abstract: The growing development of IoT (Internet of Things) devices creates a large attack surface for cybercriminals to conduct potentially more destructive cyberattacks; as a result, the security ...
Education InternationalOpinion

AI and cognitive offloading: supporting teachers to shape AI’s impact on learning

Artificial intelligence (AI) is unlocking both opportunities and challenges for education, with teachers on the front line of ...
The Next Web

Unconventional AI releases its first model, built on an oscillator architecture its founder says could cut power use by a factor of a thousand

Naveen Rao's Unconventional AI has released Un-0, an image generation model running on a simulated oscillator chip architecture it claims could slash power.
Plastics Technology

Artificial Intelligence Approaches Expedite Engineering Workflows

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.
IEEE

Wireless Networks Design in the Era of Deep Learning: Model-Based, AI-Based, or Both?

Abstract: This paper deals with the use of emerging deep learning techniques in future wireless communication networks. It will be shown that the data-driven approaches should not replace, but rather ...