The headlines have been hard to ignore. Microsoft says roughly 20–30% of code in its repos is now written by AI. Claude ...

Overview:Machine Learning libraries like PyTorch, TensorFlow, and JAX help developers build, train, and deploy AI models efficiently.PyTorch is widely used in A ...

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both basic concept ...

Testing is where Thailand's AI adoption often pays off quickly, because it reduces waiting. AI can draft unit tests from code, suggest regression ...

Covlant launches an end-to-end AI impact testing platform designed to help enterprise teams validate software changes faster, reduce deployment risks, and improve system reliability.

To our knowledge, this analysis is the largest EHR-based study for identifying drug repurposing candidates for ALS. We identified several drugs that warrant further assessment as therapeutic options ...

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...