This ebook, based on the latest ZDNet / TechRepublic special feature, advises CXOs on how to approach AI and ML initiatives, figure out where the data science team fits in, and what algorithms to buy ...
The paper comes at a time when most AI start-ups have been focusing on turning AI capabilities in LLMs into agents and other ...
Neural architecture search (NAS) and machine learning optimisation represent rapidly advancing fields that are reshaping the way modern systems are designed and deployed. By automating the process of ...
As the Vice President of Building Design Strategy at Autodesk, Vikram Dutt has held various roles, from Industry Strategy and Marketing to Product and Strategic Planning and Operations. He is joined ...
A new computing architecture enables advanced machine-learning computations to be performed on a low-power, memory-constrained edge device. The technique may enable self-driving cars to make decisions ...
Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
Sean Cusack has been a backyard beekeeper for 10 years and a tinkerer for longer. That’s how he and an entomologist friend got talking about building an early warning system to alert hive owners to ...
Who is the Master's in Artificial Intelligence and Machine Learning program for? Drexel’s College of Computing & Informatics' Master of Science in Artificial Intelligence and Machine Learning (MSAIML) ...
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