It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

However, few standard benchmarks exist for single-cell biology, both making it difficult to identify top performing algorithms and hindering collaboration with the machine learning community to ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine ... learning the behavior of systems that evolve in time," Kent said. "It's inspired ...

In a joint project between the Zelinsky Institute of Organic Chemistry and Skoltech, a research group led by RAS Academician Valentin Ananikov has developed a unique machine-learning-based search ...

Wilmington, Delaware--(Newsfile Corp. - September 22, 2023) - In a breakthrough development for the field of computational biology ... advancements in machine learning algorithms to assist ...

With artificial intelligence and machine learning (AI/ML ... Brainchip has been marketing a line of unique, bio-inspired Akida line of licensable, configurable neural processing IP for a while ...

Thanks to a pre-trained deep learning algorithm, it can detect whether that specific sample contains any bacteria or pathogens. That model is Spore.Bio’s most important asset. The startup has ...

COLUMBUS, Ohio – Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products ... “It’s inspired by how connections ...