Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...

Deep learning systems are increasingly integrated into a vast array of critical applications ranging from autonomous vehicles to medical diagnostics, necessitating rigorous testing and evaluation ...

PITTSBURGH, Oct. 17, 2024 /PRNewswire/ -- Software systems with a machine learning (ML) component often fail in production. One reason is that ML models are frequently developed in isolation, making ...

GAINESVILLE, Fla.--(BUSINESS WIRE)--Exactech, a developer and producer of innovative implants, instrumentation, and smart technologies for joint replacement surgery, reports a new study 1 that ...

PITTSBURGH, Oct. 18, 2024 — Software systems with a machine learning (ML) component often fail in production. One reason is that ML models are frequently developed in isolation, making it impossible ...

Jonathan Wosen is STAT’s West Coast biotech & life sciences reporter. You can reach Jonathan on Signal at jwosen.27. Every time you get sick, your body keeps a record of it. It does so through your ...

Google Director of Research and renowned artificial intelligence (AI) expert Peter Norvig, presented an entirely different side of AI and machine learning at the EmTech Digital conference. He compared ...

In today’s semiconductor industry, machine learning (ML) is no longer a buzzword — it’s an operational necessity. From optimizing test flows to identifying device drifts and executing advanced ...

Researchers with City of Hope and MSK have created a tool that uses machine learning to assess a non-Hodgkin lymphoma (NHL) patient’s likely response to chimeric antigen receptor (CAR) T cell therapy ...