Elevating Finance Security With Real-Time Data Innovation

Database engineer Sai Vamsi Kiran Gummadi is advancing real-time fraud detection in finance using machine learning and bi ...
Devdiscourse

New AI Program at DTU Marries Machine Learning with Real-World Projects

Delhi Technological University, in collaboration with TimesPro, launches an Advanced Certificate Programme in Artificial Intelligence. The six-month course combines online learning, campus immersion, ...
Ahmedabad Mirror

Delhi Technological University, TimesPro announce the inaugural Advanced Certificate Program in Artificial Intelligence

Delhi Technological University, TimesPro announce the inaugural Advanced Certificate Program in Artificial Intelligence ...
Tech Xplore

The AI that taught itself: How AI can learn what it never knew

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...

Wall Street Lunch: Ex-Meta AI Chief LeCun's Startup AMI Secures $1B

AI startup Advanced Machine Intelligence, founded by former Meta Platforms (META) Chief AI Scientist Yann LeCun, has raised $1B in seed funding.
The Next Web

Yann LeCun just raised $1bn to prove the AI industry has got it wrong

LeCun’s AMI Labs has raised $1.03bn to build world models; AI that understands physical reality, not just language. Europe’s ...

Ex-Meta AI chief Yann LeCun's AMI raises $1.03 billion for alternative AI approach

Advanced Machine Intelligence, the startup founded by former Meta Platforms chief AI scientist Yann LeCun, said on Tuesday ...
Analytics Insight

Best Statsmodels Certifications and Courses for 2026

Statsmodels helps analyze data using Python, especially for statistics, regression, and forecasting.The best Statsmodels courses in 2026 fo ...
IEEE

Enhancing Student Performance Prediction using E-Learning through Multimodal Data Integration and Machine Learning Techniques

Abstract: Advanced machine learning techniques have shown significant promise in predicting student performance in E-Iearning systems, but challenges such as handling imbalanced datasets, integrating ...