Dedeepya Yarra and the rise of trustworthy AI: Where machine learning meets cybersecurity

Dedeepya Yarra's interdisciplinary research interest is the intersection of machine-learning research and cybersecurity, ...

AI Is Reshaping the Dairy Ingredients and Dairy Alternatives Industry — From Farm to Formulation

AI is expanding from formulation and quality control to supply-chain forecasting and farm operations, with Amul’s AI platform ...
Semiconductor Engineering

Classical Computing vs. Machine Learning and Edge AI Techniques in Various Application Domains

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...

Beckhoff's TwinCAT 3 Machine Learning Creator Simplifies AI Training

TwinCAT 3 Machine Learning Creator facilitates automated training of AI models for industrial applications and includes model ...

Machine learning methods move self-driving labs closer to materials discovery at scale

Machine learning doesn't replace human intelligence, but it can outlast human endurance, which makes it a helpful tool for ...
Education Times

New BTech CSE programme in AI and ML to focus on Generative AI, cloud and intelligent applications

The programme combines globally recognised certifications, hands-on learning and placement support - EducationTimes.com ...
Occupational Health & Safety

AI in Safety: Practical Applications, Emerging Trends and What’s Next

Technology is rapidly transforming the way safety professionals identify risks, analyze data and make informed decisions. As AI tools become more accessible, understanding how to use them effectively ...
MonitordailyOpinion

The Science and the Art: What AI Should — and Shouldn’t — Decide in Underwriting

He spent more than a decade in AI and machine learning, much of it at Uber and then at Cruise, General Motors’ autonomous ...

Parallels Desktop 27 Expands Professional Windows App Support with Faster Graphics and AI Acceleration

As developers increasingly build and test AI workloads locally, Parallels Desktop 27 introduces support for Scalable Matrix Extension (SME) instructions in Linux and Windows virtual machines running ...
Nature

Machine Learning Applications in Ecological Modeling

Machine learning has transformed ecological modeling by providing flexible, data-driven approaches capable of capturing complex, nonlinear relationships among biotic and abiotic factors. From species ...
National Academies of Sciences%2c Engineering%2c and Medicine

Using Machine Learning in Safety-Critical Applications: Setting a Research Agenda

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...