Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

A recent report suggests OpenAI CEO Sam Altman, despite leading a top AI firm, may lack deep technical programming and ...

The integration of artificial intelligence (AI) and computational intelligence techniques has revolutionized biomedical signal processing by enabling more precise disease diagnostics and patient ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...

Nearly 80 percent of organizations now use AI in at least one core business process, according to McKinsey, yet widespread adoption has surfaced a persistent problem: a deep shortage of professionals ...

AI is no longer seen as a futuristic discipline but has emerged as a major focus area for business growth. It's predicted ...

Project CETI, you may recall, is the same group that recently released footage showing adult sperm whales collaborating as ...

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.

The ‘AgriHub,’ Innovation Hub for Agriculture at the Indian Institute of Technology Indore, is emerging as a major centre for AI-based agricultural innovation in India. Inaugurated on January 27, 2025 ...

As cities around the world continue to expand and evolve, understanding the dynamics of the housing market becomes increasingly critical for urban planners, ...