RPA has been the star of enterprise automation for the past decade. Its principle is simple: reproduce human actions in software: “Click here. Copy a piece of data. Paste it into another tool. Download a file. Fill out a form. Send an email.” Technically, an RPA bot works by observing or reproducing a sequence of […]
Everyone has already seen a robot playing table tennis. But until now, no robot was really able to beat strong players over a full match. Ace is different. A team of researchers published a study in Nature on April 22, 2026, about this system. They made it play against five high-level players and two professionals, […]
For the past two years, the AI debate has often felt like a one-way conversation. On one side, LLMs take up all the space. On the other, a few researchers keep reminding us that aligning billions of tokens may not be enough to build a machine that truly understands the world. Yann LeCun is one […]
For the past two years, one idea has kept coming up in AI research: what if the real driver of progress is no longer just training bigger and bigger models, but giving them more compute at the moment they answer? This approach has a slightly technical name, but it matters: test-time compute, also called inference-time […]
In 2026, one of the biggest challenges in AI is no longer choosing the model, but connecting it properly to an information system. Whether it is a CRM, email tools, or design software, value appears when AI can access context and take action inside the tool. That is the role of MCP, which stands for […]