Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

AI's coding capabilities prompt students to reevaluate the value of traditional computer science education and future career paths.

Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...

Over Christmas, non-coders started building software in minutes. AI agents went from theory to product. Here's what that ...

Inspiring true story of Abdul Alim, a 10th-pass security guard who became a Zoho software engineer through grit and ...

When it comes to the pace of AI evolution, my view is that we suffer from evolutionary blindness. We can't comprehend the reality unfolding before our eyes, because we didn't evolve to see it. Despite ...

Researchers at the company are trying to understand their A.I. system’s mind—examining its neurons, running it through psychology experiments, and putting it on the therapy couch.

Modern attacks frequently exploit gaps between teams and technologies, making workforce readiness and shared understanding across networking and security more critical than ever. "Attackers don't ...

2026 is the year you start your own candle business, I can feel it. View Entire Post › ...