MotorTrend

The Great Sensor War Behind Self-Driving Cars Just Got Way More Interesting

At CES, we saw fancy radar that images almost as clearly as lidar, lidar almost as cheap as radar, and a way to make the ...

Micoy Therapeutics Receives FDA Breakthrough Designation for NeuroLume™ Test to Detect Folate Receptor Autoantibodies

FDA Breakthrough designation supports development of a point-of-care test for detecting folate receptor autoantibodies ...

Hero MotoCorp To Bring ADAS Safety In Two Wheelers Soon - Details

Hero MotoCorp has partnered with Valeo to develop Advanced Rider Assistance Systems for future motorcycles and scooters.
Security Boulevard

NDSS 2025 – A Multifaceted Study On The Use of TLS And Auto-detect In Email Ecosystems

Ka Fun Tang (The Chinese University of Hong Kong), Che Wei Tu (The Chinese University of Hong Kong), Sui Ling Angela Mak (The Chinese University of Hong Kong), Sze Yiu Chau (The Chinese University of ...

At CES, auto and tech companies transform cars into proactive companions

As CES opened Tuesday to the public, auto and tech companies like Nvidia and Gentex showed how AI technology can transform ...

How Insurers Are Responding To The Rise Of GenAI-Fueled Auto Insurance Fraud

Traditional techniques for identifying and countering GenAI-enabled vehicle insurance fraud are notably limited, especially ...

In Ghaziabad, SHO who claimed he had machine to ‘auto-detect’ illegals faces probe

Ghaziabad: Police have issued a strict warning to the SHO of Kaushambi police station after a video showed him \"putting ...
IEEE

YR2S: Efficient Deep Learning Technique for Detecting and Classifying Plant Leaf Diseases

Abstract: Most plant diseases have observable symptoms, and the widely used approach to recognize plant leaf disease is by visually examining the affected plant leaves. A model that might perform the ...
IEEE

FedDMC: Efficient and Robust Federated Learning via Detecting Malicious Clients

Abstract: Federated learning (FL) has gained popularity in the field of machine learning, which allows multiple participants to collaboratively learn a highly-accurate global model without exposing ...