A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
An approach to improve the performance of floating photovoltaic (FPV) systems by incorporating the complex interplay among ...
By combining LG Ad Solutions' audience viewing experiences and first-party CTV inventory with Aarki's deep neural ...
DNN Attack Surfaces Authors, Creators & Presenters: Yanzuo Chen (The Hong Kong University of Science and Technology), Yuanyuan Yuan (The Hong Kong University of Science and Technology), Zhibo Liu (The ...
Artificial intelligence (AI) is transforming the life sciences industry, with potentially its most significant impact on drug ...
Device modeling used to take weeks. Now, AI and automation can do it in hours. See how it makes building models faster and ...
Big-data cost optimization startup Yuki Technologies Ltd. wants to help enterprises keep a lid on the cloud infrastructure ...
Morning Overview on MSN
‘Godfather of AI’ says he’s ‘very sad’ his life’s work may backfire
Geoffrey Hinton spent decades helping to build the neural networks that now power modern chatbots and image generators, only ...
This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...
A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
Pratyosh Desaraju secures German utility patents for AI systems that automate legacy system enhancement and detect performance anomalies using deep learning.
Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results