Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...

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

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.

Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...

Xiangyi Li saw this gap during his work at Tesla and in research projects across universities. Rather than accept the inefficiency, he founded BenchFlow, a platform designed to make AI model ...

Thinking Machines Lab Inc. today launched its Tinker artificial intelligence fine-tuning service into general availability.

The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...

Riti Samanta, Global Co-Head Fixed Income, Systematic Fixed Income Portfolio Manager, at Russell Investments, brings nearly 25 years of experience blending quantitative rigor with portfolio management ...

To prevent jitter between frames, Kuta explains that D-ID uses cross-frame attention and motion-latent smoothing, techniques that maintain expression continuity across time. Developers can even ...

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 ...