Scientists characterized the largest sample of a neural circuit to date to improve artificial intelligence models and better ...

Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...

The 'strongest brain' of smart warehouse robots is first manifested in their multidimensional perception system. Through the collaborative work of devices such as lidar, high-definition cameras, ...

Abstract: This paper presents an efficient reconfigurable parameterized convolutional neural network (CNN) accelerator designed for FPGA platforms. The core of the accelerator allows flexible ...

A team at the University of Florida has developed a new kind of computer chip that uses light with electricity to perform one ...

Axelera AI, the leading provider of purpose-built AI hardware acceleration technology, today announced Metis® M.2 Max, a new ...

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

Researchers from Hebei University of Technology have developed an innovative approach to lithium-ion battery management that ...

A new study introduces an innovative method to monitor sludge moisture content in real-time, combining jet imaging and deep ...

Against the backdrop of intensifying global climate change and increasing pressure on forest resource management, traditional ...

Through bp’s earnify loyalty program and in-store touchpoints, Axonet will enable consumer packaged goods (CPG) brands to connect with bp customers through targeted media and national offers starting ...