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Deep Learning and the Future of Artificial Intelligence

Altexsoft

Millions of neurons exchange electrical and chemical signals and transmit information in this way. Artificial neural nets pass information similarly: They do that through multiple interconnected layers consisting of neurons (nodes). Artificial intelligence vs machine learning vs deep learning.

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Can data drive more successful R&D in life sciences?

Capgemini

The availability of big data tools and data sciences with their potential to unlock the R&D process makes these skills even more critical. AI and data science promise a steady stream of new solutions. Learn all about our Data-driven R&D transformation in life sciences!

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MYCIN, Watson, and AI History

CTOvision

Over at Wired , a headline blares “Artificial Intelligence Is Now Telling Doctors How To Treat You.” MYCIN uses expert rules to make medical inferences, and is one of the most famous artificial intelligence programs in the history of the discipline. By AdamElkus. ” Sounds unique, novel, and even scary.

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Quantum technology Is it a solution for some of our biggest sustainability challenges?

Capgemini

Just like cloud and big data before it – and alongside artificial intelligence, blockchain, and the metaverse during the next decade – quantum technology is likely to have a transformative impact on society.

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EarthOptics helps farmers look deep into the soil for big data insights

TechCrunch

Farming sustainably and efficiently has gone from a big tractor problem to a big data problem over the last few decades, and startup EarthOptics believes the next frontier of precision agriculture lies deep in the soil.

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Planbox Acquires IdeaConnection, the Best-in-Class Open Innovation Expert Solver Network

Planbox

Using this approach, IdeaConnection has achieved a best-in-class solve rate for thousands of problems ranging from food science, chemistry, engineering, biology, manufacturing, crop science, packaging, artificial intelligence, machine learning, big data, consumer products and hundreds of other areas of expertise.

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Generative AI in Healthcare

John Snow Labs

They advocate for the importance of transparency, informed consent protections, and the use of health information exchanges to avoid data monopolies and to ensure equitable benefits of Gen AI across different healthcare providers and patients​​. However as AI technology progressed its potential within the field also grew.