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Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Exclusive: Google deepens Thinking Machines Lab ties with new multibillion-dollar deal

Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by ...
MIT Technology Review

Does AI know too much?

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...
IEEE

Federated Learning-Based State of Charge Estimation in Electric Vehicles Using Federated Adaptive Client Momentum

Abstract: Batteries are essential for Electric Vehicles (EVs). Traditional Battery Management System (BMS) algorithms can be inadequate for State of Charge (SoC) estimation due to incorrect ...
IEEE

A Review on Lung Cancer Classification Using Deep Learning Techniques

Abstract: Cancer of the lung system is arguably the second largest factor in the worldwide fatality explosion. It originates from smoking too much and tobacco use. Uncontrolled cell growth in the lung ...

Forget Python Or Java: What You’re Speaking Is Code

Scripting languages like Python and JavaScript quickly gained popularity and pushed further toward human readability. They ...