A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.

A dangerous hematological malignancy, acute lymphoblastic leukemia (ALL) has a survival rate that is drastically affected by how long it takes to diagnose the disease. Though convolutional neural ...

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.

The democratization of AI encourages multi-task learning (MTL), demanding more parameters and processing time. To achieve highly energy-efficient MTL, Diffractive Optical Neural Networks (DONNs) have ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in new research I have used a phenomenon called “quantum tunnelling” to ...

Given computer vision’s place as the cornerstone of an increasing number of applications from ADAS to medical diagnosis and robotics, it is critical that its weak points be mitigated, such as the ...

Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network ...

XPeng Motors is rolling out cutting-edge AI technology that it hopes will transform the automotive industry from “electrification to smartification.” The Chinese EV automaker held an AI Day event ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Computer Vision (CV) has evolved rapidly ...