The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

The self-attention-based transformer model was first introduced by Vaswani et al. in their paper Attention Is All You Need in 2017 and has been widely used in natural language processing. A ...

Artificial intelligence researchers from Meta Platforms Inc. say they’re making progress on the vision of its Chief AI Scientist Yann LeCun to develop a new architecture for machines that can learn ...

Depletion of histone H3K27 demethylase exerts anti-tumor activity as a monotherapy and in combination therapy with ceralasertib in non-small cell lung carcinoma. This is an ASCO Meeting Abstract from ...

As I highlighted in my last article, two decades after the DARPA Grand Challenge, the autonomous vehicle (AV) industry is still waiting for breakthroughs—particularly in addressing the “long tail ...

In the last decade, convolutional neural networks (CNNs) have been the go-to architecture in computer vision, owing to their powerful capability in learning representations from images/videos.

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 ...

Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Transformer-based large language models ...

Accurately estimating fruit size directly on plants is essential for precision agriculture, enabling data-driven crop management and improving yield prediction. Traditional fruit detection and ...