Artificial Intelligence and Machine Learning Trends

Machine-learning models can fail when they try to make predictions for individuals who were underrepresented in the datasets they were trained on. For instance, a model that predicts the best treatment option for someone with a chronic disease may be trained using a dataset that contains mostly male patients. That model might make incorrect predictions […]

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Artificial Intelligence (AI) and Machine Learning (ML) have undergone remarkable advancements and innovations, altering various sectors and changing how we live and perform our tasks. The influence of Machine Learning reaches well beyond theoretical ideas, fostering significant transformations in various industries. including business, healthcare, and entertainment.  The goals and applications of Machine Learning assist in decision-making

Executives across all business sectors have been making substantial investments in machine learning, saying it is a critical technology for competing in today’s fast-paced digital economy. “Machine learning is the backbone of today’s business, turning data into insights and insights into action and predictability. That’s why machine learning is highly useful,” said Adnan Masood, chief

Last Updated : 05 May, 2023 Machine learning is one of the most exciting technologies that one would have ever come across. As is evident from the name, it gives the computer that which makes it more similar to humans: The ability to learn. Machine learning is actively being used today, perhaps in many more places than one

NATURE INDEX 12 October 2022 By filtering across the disciplinary spectrum, the fields continue to hit new heights. It may not be unusual for burgeoning areas of science, especially those related to rapid technological changes in society, to take off quickly, but even by these standards the rise of artificial intelligence (AI) has been impressive.

We’ve published the 2025 release wave 1 plans for Microsoft Dynamics 365, Microsoft Power Platform, and Role-based Copilot offerings. These plans are a compilation of the new capabilities planned to be released between April 2025 and September 2025. With advancements in agents, automation, intelligence, and seamless integrations, this release is designed to address the evolving

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In a two-part series, MIT News explores the environmental implications of generative AI. In this article, we look at why this technology is so resource-intensive. A second piece will investigate what experts are doing to reduce genAI’s carbon footprint and other impacts. The excitement surrounding potential benefits of generative AI, from improving worker productivity to advancing scientific

Researchers from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and Google Research may have just performed digital sorcery — in the form of a diffusion model that can change the material properties of objects in images. Dubbed Alchemist, the system allows users to alter four attributes of both real and AI-generated pictures: roughness,