Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that complements your own.
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...
Their model used 1,557 epigenetic markers measured in blood. Using these markers, the researchers reported that they could assign people to high-risk prediabetes clusters with around 90 per cent ...
IEEE Spectrum on MSN
Machine learning system monitors patient pain during surgery
A camera and AI combo offers a contactless way to assess pain ...
What is the Role of Agentic AI in DevOps Security? How can organizations ensure the security of machine identities and secrets? A comprehensive security strategy, encompassing Non-Human Identities ...
A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
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