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Tag Archives | machine learning

ai-regulations

Ten Ways AI Regulations and Standards Will Evolve in 2022

With artificial intelligence (AI) technologies such as machine learning and neural networks rapidly evolving, governments are racing to regulate AI. As TechRepublic reported in November 2021, the consulting firm Deloitte is predicting that evolving AI technologies could lead to “enforced regulations in 2023 and beyond.” If that’s the case, organizations that make and use the […]

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machine-learning-math-science

Can Machine Learning Lead to New Discoveries in Math and Science?

Mysteries in math and science have puzzled human researchers for centuries. Now, a pair of recent studies suggest that machine learning could help them make breakthroughs much faster.  A paper published in Nature suggests new connections between the fields of knot theory— the study of mathematical knots (closed, non-self-intersecting curves embedded in three dimensions)— and […]

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global-standard-for-AI

European Union Considering “De Facto Global Standard” for AI

The European Union (EU) has proposed a first-ever comprehensive legislative package to regulate artificial intelligence (AI). As The National Law Review reports, the Artificial Intelligence Act (AIA) will “establish a risk-based framework for regulating use of AI anywhere within the EU, including by organizations based outside the EU.” If passed, the law “establishes a de […]

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machine-learning-model-decisions

New Method Could Help Machine Learning Models Make Better Decisions 

Machine learning models often rely on the simple features of a dataset to make decisions. Known as “shortcuts,” these types of decisions can lead to serious errors. For example, these shortcuts can cause models to make inaccurate medical diagnoses. However, a recent study from MIT poses a possible solution. By removing the simple characteristics of […]

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machine-learning-models

Four Reasons Machine Learning Models Fail and How to Fix Them

Machine learning is a branch of artificial intelligence (AI) in which algorithms are trained to get better at solving problems on their own, similar to the functionality of a human brain. While organizations are rapidly adapting machine learning to enhance their business operations, many are failing to build machine learning models that work.  Why do […]

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data-drift-machine-learning

Four Ways to Build MLOps that Avoid “Data Drift” in Machine Learning

Organizations are increasingly adopting machine learning, a type of artificial intelligence that allows software applications to get better at predicting outcomes on their own. While these models can help businesses make better decisions, they have a major weakness. Once the data that support machine learning models become outdated, so too do the models—a problem known […]

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Artificial intelligence (AI), machine learning and modern computer technologies concepts. Business, Technology, Internet and network concept.

Recommendations for Developing Machine Learning Operations (MLOps) 

Algorithms that automatically learn and improve decision-making without additional training use a process known as machine learning (ML), a field that represents a rapidly developing branch of artificial intelligence (AI). By 2022, the ML market is expected to skyrocket to USD $8.81 billion (up from about USD $1 billion five years ago).  Powered by data, ML […]

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machine-learning-questions

Four Machine Learning Questions Organizations Should Ask

Machine learning can deliver major benefits for organizations looking to scale their operations, especially those who continue to experience disruptions from the COVID-19 pandemic. However, there are plenty of challenges that come along with implementing this type of artificial intelligence. Before organizations jump headfirst, there are four major machine learning questions they should consider. 1) […]

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causal inference machine learning

What is ‘Causal Inference’ and Why is it Key to Machine Learning?

Unlike human beings, machine learning algorithms are bad at determining what’s known as ‘causal inference,’ the process of understanding the independent, actual effect of a certain phenomenon that is happening within a larger system. For example, a human watching a golfer swing a golf club intuitively understands that the golfer’s arms are causing the club […]

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liquid-learning-machine-learning

Is “Liquid Learning” the Next Revolution in Machine Learning? 

A new type of machine learning known as “liquid learning” can rapidly adapt to changes in its data stream and environment, rather than only learning while it’s being trained. Developed by MIT researchers, the technology represents a potential major breakthrough in artificial intelligence (AI).  Liquid learning utilizes algorithms that can transform their underlying equations, which […]

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