Machine Learning

I that most companies would have built or implemented their own Rag agents by now. An AI knowledge agent can...

is a game changer in Machine Learning. In fact, in the recent history of Deep Learning, the idea of allowing...

were making headlines last week. In Microsoft’s Build 2025, CEO Satya Nadella introduced the vision of an “open agentic web”...

, we often need to investigate what’s going on with KPIs: whether we’re reacting to anomalies on our dashboards or...

If under a rock and you work with AI, you’ve probably heard about Agent2Agent (A2A) Protocol, “an open standard designed...

to tune hyperparamters of deep learning models (Keras Sequential model), in comparison with a traditional approach — Grid Search. Bayesian Optimization Bayesian...

neural networks, we often juggle two competing objectives. For example, maximizing predictive performance while also meeting a secondary goal like fairness, interpretability,...

of AI agents. LLMs are no longer just tools. They’ve become active participants in our lives, boosting productivity and transforming...

Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives,...

array object can take many concrete forms. It might be a one-dimensional (1D) array of Booleans, or a three-dimensional (3D)...