Tag: learning

Machine learning reveals recipe for building artificial proteins

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Proteins are essential to the life of cells, carrying out complex tasks and catalyzing chemical reactions. Scientists and engineers have long sought to harness this power by designing artificial proteins that can perform new tasks, like treat disease, capture carbon, or harvest energy, but many of the processes designed to create such proteins are slow and complex, with a high failure rate.

In a breakthrough that could have implications across the healthcare, agriculture, and energy sectors, a team lead by researchers in the Pritzker School of Molecular Engineering (PME) at the University of Chicago has developed

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COVID-19 Impacts: Machine Learning Market will Accelerate at a CAGR of about 39% through 2020-2024 | The Increasing Adoption of Cloud-based Offerings to Boost Growth | Technavio

LONDON–(BUSINESS WIRE)–Technavio has been monitoring the machine learning market and it is poised to grow by $ 11.16 bn during 2020-2024, progressing at a CAGR of about 39% during the forecast period. The report offers an up-to-date analysis regarding the current market scenario, latest trends and drivers, and the overall market environment.

Technavio suggests three forecast scenarios (optimistic, probable, and pessimistic) considering the impact of COVID-19. Please Request Latest Free Sample Report on COVID-19 Impact

The market is fragmented, and the degree of fragmentation will accelerate during the forecast period. Alibaba Group Holding Ltd., Alphabet Inc., Amazon.com Inc.,

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Researchers use machine learning to build COVID-19 predictions

Credit: Pixabay/CC0 Public Domain

As parts of the U.S. tentatively reopen amid the COVID-19 pandemic, the nation’s long-term health continues to depend on tracking the virus and predicting where it might surge next. Finding the right computer models can be tricky, but two researchers at Binghamton University, State University of New York believe they have an innovative way to solve those problems, and they are sharing their work online.

Using data collected from around the world by Johns Hopkins University, Arti Ramesh and Anand Seetharam—both assistant professors in the Department of Computer Science—have built several prediction models that take advantage

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Machine learning has a flaw; it’s gullible

Credit: Pixabay/CC0 Public Domain

Artificial intelligence and machine learning technologies are poised to supercharge productivity in the knowledge economy, transforming the future of work.

But they’re far from perfect.

Machine learning (ML)—technology in which algorithms “learn” from existing patterns in data to conduct statistically driven predictions and facilitate decisions—has been found in multiple contexts to reveal bias. Remember when Amazon.com came under fire for a hiring algorithm that revealed gender and racial bias? Such biases often result from slanted training data or skewed algorithms.

And in other business contexts, there’s another potential source of bias. It comes when outside individuals

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