AI is ultimately a story about selfhood—and the answer will not be found in the machine, but in what mindful awareness allows ...

Modern neuroscience and the computational modeling of the activities of vast, integrated neural networks provide fruitful accounts of how our minds work and learn.

Modern neuroscience understands the brain as a set of specialized systems. Aspects of brain function such as attention, ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation when suddenly the AI seems ...

Abstract: An implementation method of a capacitive ternary neural network (TNN) is proposed, utilizing two-metal-ferroelectric-metal capacitors (FeCaps) per synapse. Unlike conventional one-FeCap ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

The bus network redesign will take place over 16 phases and should be complete by 2029. ABQ Ride is launching a plan to improve bus routes in the city of Albuquerque, N.M. ABQ RIDE Forward aims to ...

Modern neural networks are “VIP-class” technologies for one simple reason — they spontaneously entered the digital world and firmly established themselves within it. Today, artificial intelligence is ...