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Diffusion-based AI model successfully trained in electroplating
Electrochemical deposition, or electroplating, is a common industrial technique that coats materials to improve corrosion ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
IBM’s Jitin Khanna on high-stakes SAP S/4HANA migration, data integrity, and enterprise transformation strategies.
Organizations that have invested seriously in building proprietary context pipelines – mechanisms that continuously pull in ...
Jayashree Arunkumar is a Distinguished Member of Technical Staff, driving enterprise-scale AI adoption as part of the ...
As LLM scaling hits diminishing returns, the next frontier of advantage is the institutionalization of proprietary logic.
In a recent roundtable discussion, Albany Business Review publisher, Walter Thorne, sat down with David P. Flynn, Partner at ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient’s risk of hepatocellular carcinoma (HCC), the most common ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
Not all Sienna's were made equal - here's what you need to know.
Chroma’s Context-1 is a 20B retrieval-augmented model that beats ChatGPT 5 on search, using agentic loops to improve relevance at low latency.
For design teams adopting 3D-IC architectures, the relentless pursuit of performance and reliability brings a familiar, yet ...
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