Specialized search for Machine Learning

1+ hour, 57+ min ago (428+ words) The recently published 2025 Machine Learning Emotional Footprint Report from global IT research and advisory firm Info-Tech Research Group highlights the top machine learning platforms that help organizations accelerate AI adoption, enhance model performance, and improve operational efficiency. The report's insights are based on feedback from users on the firm's SoftwareReviews platform. ARLINGTON, Va., Dec. 18, 2025 /CNW/ -Info-Tech Research Group has released its 2025 Machine Learning Emotional Footprint Report, which identifies the top-performing platforms for the year. Drawing on in-depth user insights from Info-Tech Research Group's SoftwareReviews platform, the report names four champion machine learning platforms that lead the market in value and user satisfaction. Info-Tech's Emotional Footprint measures high-level user sentiment. The report aggregates emotional response ratings across 25 questions, creating a powerful indicator of overall user feeling towards the vendor and product. The result is the Net Emotional Footprint, or NEF, a…...

5+ hour, 26+ min ago (931+ words) AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across banking and investments. Machine learning strengthens fraud detection, credit scoring, and market predictions by learning from past data and adapting to new financial patterns. Automation reduces manual work, cuts costs, improves compliance, and delivers faster, more personalized customer experiences in finance. Every card swipe, money transfer, loan request, or investment adds new data. Banks and financial institutions need to manage this flow of sensitive information quickly and carefully. Outdated systems often cause delays, increase expenses, and pose greater risk. AI in financial services is an intelligent system that analyzes data, identifies patterns, and acts on insights. It goes beyond fixed rules and adapts as new data flows in, learn from past data and adjusts to new situations." Automation helps…...

8+ hour, 37+ min ago (270+ words) On December 11, 2025, President Donald J. Trump signed the'Executive Order'(the "EO) entitled, "Ensuring a National Policy Framework For Artificial Intelligence. Aimed at establishing a unified national policy framework for AI, the EO attempts to significantly restrict states from independently regulating AI in "onerous and excessive ways or that conflict with federal priorities, including America's AI innovation, leadership, and global dominance. The EO's stated goal is to reduce "cumbersome state regulation that "stymie innovation. Through the EO, the Administration also intends to challenge the legality of state laws on a variety of bases:' While this EO aims to shift policymaking from states to the federal government, healthcare and life sciences companies developing or implementing AI should continue to develop AI governance, risk management, and contracting approaches to ensure proper compliance with existing federal and state law. In light of this EO, employers…...

8+ hour, 58+ min ago (393+ words) The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it. Image: American Public Power Association / Unsplash Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine learning algorithm designed to identify physical anomalies in solar energy systems. The project aims to reduce operations and maintenance (O&M) costs, which remain a significant hurdle for project economics as the industry scales. By leveraging historical datasets provided by Ecogy Energy, researchers Yue Zhao and Kang Pu trained the anomaly detectors using a holistic pipeline that integrates inverter performance with weather data. The approach avoids non-standard measures, instead opting for widely available generation and environmental data to ensure the tool remains operational across diverse data environments. The study places a particular focus…...

1+ day, 10+ hour ago (562+ words) AI redaction improves data quality management for machine learning by protecting sensitive information, supporting HIPAA compliance, and strengthening artificial intelligence workflows....

1+ day, 11+ hour ago (55+ words) A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design of bioimaging, sensing and drug delivery materials. Machine Learning model predicts protein binding on gold nanoclusters for biomedicine A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design of bioimaging, sensing and drug delivery materials....

1+ day, 16+ hour ago (476+ words) Did you use this article in your work? We'd love to hear how The 74's reporting is helping educators, researchers, and policymakers. Tell us how Jordy Berne is an associate economist at RAND, whose research focuses on economic opportunity, particularly in education policy, childhood circumstance, and social safety net programs. Christopher Doss is a senior economist at RAND and professor of public policy at the RAND School of Public Policy. He specializes in fielding causal and descriptive studies in education. Ashley Woo, a former elementary school teacher, is an associate policy researcher at RAND. Her recent work has focused on the policies and practices that enhance educator well-being and retention and other education topics. By Jordy Berne, Christopher Doss & Ashley Woo Generative artificial intelligence is quickly spreading through U.S. public schools. Between the 20232024 and 20242025 school years, the share of K12 teachers using…...

1+ day, 21+ hour ago (1329+ words) No one expects a keyboard, a hammer or a scalpel to have built-in ethical standards that guide its work. Only the users of such tools can chart those paths. But artificial intelligence (AI) " the term given to the powerful computational tools that can capture enormous amounts of data, sort it out, learn from that data, apply it to problems, evaluate environments, make rapid decisions, create new imagery and written works, detect anomalies, solve problems and determine whether to accelerate or hit the brakes " is a whole "nother tool. It is, in fact, an amalgamation of data, tools, technologies, information and analytical processes, all connected in powerful and often undisclosed ways. As its use expands and finds new applications around the world, the race to harness, steer and perhaps even master AI technology has been unfolding at breakneck speed. There is…...

2+ day, 13+ hour ago (262+ words) Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of machine learning, principal component analysis, and recommendation systems. With self-directed learning, expert help, and project-based learning, the course is preparing the students to acquire the capability to work in the fields of data science, AI, and analytics. This course is all about hands-on practice, and the application will be the main focus throughout: Know the core principles of machine learning and prediction models. Find out how to prepare and test algorithms and use cross-validation as a way to prevent overfitting. Apply supervised and unsupervised machine learning techniques to actual data. Develop a skill set that enables you to work with Python for data analysis and modeling activities, thereby gaining practical experience. The self-paced online course is free to audit or $149 for a verified certificate,…...

3+ day, 18+ hour ago (919+ words) From corner offices in New York to conference rooms in Silicon Valley, business leaders are grappling with the same question: how will AI reshape our businesses? "At Amazon Web Services, we work backwards from the customer," said Julie Neenan Souza, Global Head of Sports at AWS, describing the company's famous approach of designing products around the ideal customer experience rather than building first and hoping customers follow. "I'm not interested in creating or suggesting anything that doesn't add value for the fan. It's always about identifying the problems the fan faces and finding ways to solve them." Sports consumption is changing rapidly, and the fast-growing world of technology is calling the plays. Using Amazon's working backward approach, it is clear that if fans want it, the leagues need to deliver the right moves. "It's all about fan choice. Historically, we…...