In a recent study published in the journal npj Precision Oncology, researchers conducted a systematic review to examine the accuracy of deep learning (DL) in diagnosing breast cancer using ultrasound ...

Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to ...

Deep learning is rapidly becoming an indispensable element in machine vision solutions. Its application is proving to be particularly useful for identifying objects and features in images. Deep ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More If your organization is using artificial intelligence (AI) ...

Deep learning finds numerous applications in machine vision solutions, particularly in enhancing image analysis and recognition tasks. Algorithmic models can be trained to recognize patterns, shapes ...

eSpeaks' Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...

The world is awash with news about artificial intelligence tools, including those intended to help chemists. But are the tools useful, a threat, or even worth the attention? It’s hard to know, ...

Advanced deep learning tools like LSTM-SAM could become essential in helping coastal communities prepare for the new normal, opening the door to smarter, faster, and more accessible flood predictions ...

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...