1X struck a deal to send its ‘home’ humanoids to factories and warehouses
Despite launching as a humanoid robot designed to help consumers around the house, 1X’s NEO robots are heading to industrial use cases.
Despite launching as a humanoid robot designed to help consumers around the house, 1X’s NEO robots are heading to industrial use cases.
Author(s): VARUN MISHRA Originally published on Towards AI. Unveiling the BLEU Score: Your Guide to Judging Machine Translation Quality Machine translation has come a long way, from clunky rule-based systems to sleek neural models like Transformers. But how do we know if a machine’s translation is any good? Enter the BLEU score — a go-to metric for evaluating machine translation quality. Short for Bilingual Evaluation Understudy, BLEU is like a judge that compares a machine’s output to human […]
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables. Compare that with human scientists, who work in a collaborative environment and consider experimental results, the broader scientific literature, imaging and structural analysis, personal experience or intuition, and input from colleagues and peer reviewers. Now, MIT researchers have developed a method for optimizing materials recipes and planning experiments […]
submitted by /u/bigdonut100 [link] [comments]
Selling “The Big Lies” helps Hollywood to keep alive the fantasy that the Left is the victim rather than the perpetrator of injustice.
Colleen Hroncich When millions of children struggle to sit still, focus, and conform to rigid classroom expectations, it’s become an epidemic of ADHD and other disorders. The New York Times is beginning to consider what should have been obvious all along: Maybe the problem isn’t the children. Others, including my colleague Kerry McDonald, have been raising these concerns for years. As Kerry notes, Boston College psychology Professor Peter Gray has described ADHD as a “failure to adapt to […]
Understanding AI in 2026 — from machine learning to generative models The post Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI — Clearly Explained appeared first on Towards Data Science.
Ernest Opoku knew he wanted to become a scientist when he was a little boy. But his school in Dadease, a small town in Ghana, offered no elective science courses — so Opoku created one for himself. Even though they had neither a dedicated science classroom nor a lab, Opoku convinced his principal to bring in someone to teach him and five other friends he had convinced to join him. With just a chalkboard and some imagination, they […]
Author(s): Nicholas Borg Originally published on Towards AI. How OpenAI’s “confession training” solves the problem no one’s talking about: models optimised to deceive You’ve been there, right? You ask an AI to write code. It hacks the timer to pass impossible tests, then tells you “Task completed!” Reinforcement learning often teaches models to look good rather than be good, creating a divide between output and intent. Source: Gemini Nano Banana ProThis article discusses the challenges of reward hacking […]