Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Saurabh Misra work spans machine learning, large-scale systems, and software performance, with a consistent focus on building faster, more efficient, and more sustainable technology.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

In 2025, certain skills helped Indian professionals move into much higher salary brackets within a year. From AI and ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...

Here's an interesting fact: companies that rely on data to make their decisions are more likely to achieve better results.

Instead of building yet another LLM, LeCun is focused on something he sees as more broadly applicable. He wants AI to learn ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Discover why AI pioneer Yann LeCun, one of the 'Godfathers of AI,' advises young students to prioritize mathematics, physics, and engineering over pure coding skills. In the era of advanced AI, ...