Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

The principles that made the Internet so successful can guide us in building the next wave of AI systems.

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

With the ability to print metal structures with complex shapes and unique mechanical properties, metal additive manufacturing ...

UK-based startup Scindo combines AI models with proprietary data to accelerate enzyme discovery and optimization.

Real-time data processing has become essential as organizations demand faster insights. Integration with artificial ...

In today’s digital advertising landscape, first-party data and clean rooms remain highly relevant. However, artificial ...

TalentNeuron, the only workforce transformation solution in the market that unifies internal talent intelligence ...

Discover how Python is evolving in 2025 with new tools, frameworks, and trends shaping AI, data science, and API development.

India’s evolving AI landscape still relies largely on GPUs, though the rise of TPU could unfold a huge opportunity for Indian ...

Harsh Goenka highlights the World Economic Forum's 2025 Future of Jobs Report, projecting significant growth in roles like ...

In the rapidly evolving landscape of data management and transformation, few professionals have demonstrated the adaptability and technical prowess that Saketh Reddy Cheruku has exhibited throughout ...