Category: Machine Learning

Carson Easterling plans to specialize in control theory when he enters graduate school at Auburn University this fall, but he needed more preparation. Applied Statistics and Machine Learning (ELEC 5970 6970 600) is an interdisciplinary course in the Department of Electrical and Computer Engineering that introduces students to basic and advanced machine learning tools through […]

image: The research team developed a machine learning model using simple atomic properties and structural information of carbon edges. view more Credit: Yun Han Urea is a very important chemical, especially for fertilizers. However, the production of urea consumes large amounts of energy and relies heavily on fossil fuels. But new discoveries from Griffith University […]

Siavash Kakavand and colleagues present an exhaustive empirical study that benchmarks quantum kernel support vector machines (QSVMs) against classical baselines on tabular data, revealing important insights into the near-term feasibility of quantum computers for supervised learning. The team conducted 970 experiments utilizing nine datasets, four quantum feature maps, and three classical kernels with nested cross-validation. […]

Revenue, 2025 USD 1,219.00 Mn Forecast Year, 2035 USD 17,462.60 Mn What is the Federated Learning Market Size in 2026? The global federated learning market size accounted for USD 1,219.00 million in 2025 and is predicted to increase from USD 1,590.80 million in 2026 to approximately USD 17,462.60 million by 2035, expanding at […]

Researchers have demonstrated that machine learning may help identify people at risk of developing Fragile X-related tremor/ataxia syndrome before obvious symptoms appear. Why early prediction of Fragile X is important Fragile X-associated tremor/ataxia syndrome (FXTAS) is a progressive neurodegenerative disease that affects some male Fragile X premutation carriers later in life. Currently, clinicians lack reliable […]

AI developers and engineers are being forced to make trade-offs they shouldn’t have to make: move fast and relinquish control with managed AI services, or build on raw infrastructure and absorb all the costs of complexity. ‍ This is becoming one of the critical bottlenecks for AI adoption in enterprises. ‍ Enterprise spending on generative […]

The scale of Parkinson’s disease diagnosis poses a major challenge to healthcare systems around the world. According to the nonprofit Parkinson’s Disease Foundation, nearly 90,000 people are newly diagnosed with Parkinson’s disease each year in the United States. Parkinson’s disease is a progressive brain disease that damages dopamine-producing neurons, causing symptoms such as tremors, stiffness, […]

Routers are smarter than you think – it’s not the hardware’s fault When Wi-Fi drops out during a call, most people blame their router. fair enough. But the fix isn’t a new device, it’s machine learning running beneath the network, increasingly operating in the background like a super-calm and fast traffic controller that never sleeps. […]

ECMWF Director-General. Machine Learning to Play Growing Role in Weather Forecasting. https://www.ecmwf.int/en/about/media-centre/news/2024/machine-learning-play-growing-role-weather-forecasting-says-dg (2024). UK Met Office. Artificial Intelligence for Numerical Weather Prediction. https://www.metoffice.gov.uk/research/approach/collaboration/artificial-intelligence-for-numerical-weather-prediction (2025). Sun, X. et al. A data-to-forecast machine learning system for global weather. Nat. Commun. 16, 6658 (2025). Article  Google Scholar  Allen, A. et al. End-to-end data-driven weather prediction. Nature 641, 1172–1179 […]

Zapier announced major expansions to its enterprise governance capabilities. This provides IT and security teams with a unified policy layer that covers all aspects of how AI runs, including no-code workflows, AI agents, AI assistants connected to MCPs like Claude and ChatGPT, and applications built with SDKs. Also read: AiThority Interview with Glenn Jocher, Ultralytics […]