Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...

Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...

Difficulties in following speech on TV due to loud background sounds are a common issue in broadcasting. Object-based audio (OBA) systems like MPEG-H Audio can address this problem by providing a ...

As neural implant technology and A.I. advance at breakneck speeds, do we need a new set of rights to protect our most ...

Cisco has been making good on its 2024 promise to place its bets on AI to the tune of $1 billion. One way the tech giant has been doing that is by investing heavily in AI startups that are new on the ...

The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how ...

Data science has become one of the most rewarding and future-driven careers in the US, offering an average annual salary ...

Artificial intelligence is rapidly becoming one of the most lucrative and sought-after fields. The ongoing digital ...

Artificial intelligence is one of the fastest-growing and highest-paying fields today. The continued digitization of ...

This repo contains all my work for this specialization. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, Deep Learning Specialization on Coursera. As a CS ...

Abstract: With growing environmental awareness and increasing energy demands, sustainable manufacturing has become a focal point in the industry. Meanwhile, globalization has propelled distributed ...

Abstract: Convolutional Neural Networks (CNNs) have shown remarkable success across numerous tasks such as image classification, yet the theoretical understanding of their convergence remains ...