Artificial Neural Networks (ANNs) are bio-inspired models of neural computation that have proven highly effective. Still, ANNs lack a natural notion of time, and neural units in ANNs exchange analog ...

Neural implants contain integrated circuits (ICs)—commonly called chips—built on silicon. These implants need to be small and ...

A three-block temporal convolutional neural network (3B-TCN) is developed to classify brain magnetic signals. A data augmentation method based on statistical analysis of SSVEF signals is proposed, ...

Abstract: Traditional assessment methods often face a trade-off between accessibility and in-depth evaluation. While multiple-choice exams offer easy grading ... We present a novel approach utilizing ...

BrainChip’s AKD1000 product is available in both B+M Key and E Key configurations of the M.2 2260 form factor. It can be ...

Neural implants contain integrated circuits (ICs) -- commonly called chips -- built on silicon. These implants need to be small and flexible to mimic circumstances inside the human body. However, the ...

Enables a low-cost, high-speed and low-power consumption option for those looking to build their own edge AI boxes.

Scientists have developed a groundbreaking method to uncover how deep neural networks “think,” finally shedding light on ...

Microsoft Corp. today released the code for Phi-4, a small language model that can generate text and solve math problems.

A new international study led by researchers at Karolinska Institutet in Sweden shows that AI-based models can outperform ...

A long promising approach comes of ageI won’t revisit the arguments for anomaly detection as a crucial piece of cybersecurity ...