Six ways ML will transform the biopharmaceutical lifecycle
By Daniel Tabas, contributing writer for Technologynetworks.com
Generative artificial intelligence (AI) tools, such as GPT-4 for text and Midjourney for images, have astonished the public over the last year. Many people were simply unaware of the potential for artificial intelligence – and machine learning (ML) in particular – to reshape industries.
Astronomer discoveries led by machine learning
By Hannah Richter, contributing writer for Skyandtelescope.org
On a mountaintop in Chile, 7,200 feet above sea level, the universe is unfolding image by image. The Cerro Tololo Inter-American Observatory is home to the 4-meter Blanco Telescope, situated in a giant dome under which scientists have studied the sky since 1976. As advances in technology result in exponentially more data, one giant constraint remains: how fast people can sift through it all.
Predictive analytics: benefits, models and use cases
By Aminu Abdullahi, contributing writer for Techrepublic.com
Predictive analytics is an analytics process that uses statistics and modeling techniques to make informed decisions and predictions about future outcomes based on current and historical data. Businesses use these techniques, which include data mining, predictive modeling, and machine learning, to assess risks and forecast business trends.
Machine learning speeds up the detection of contamination in food factories
By Mike Butcher, contributing writer for Techcrunch.com
The factories that process our food and beverages (newsflash: no, it doesn’t come straight from a farm) have to be kept very clean, or we’d all get very ill, to be blunt. Ensuring that usually entails deploying petri-dish-based microbiological monitoring, hardware and waiting for tests to return from labs. A new startup has plans to use deep-learning algorithms to speed up this process.
Did you see an interesting article in the last week? Share it with us! Send it to info@lityx.com.
