Ubisoft has revealed its new game, Assassin’s Creed: Shadows, and Rachel Kaser is fascinated by the dual protagonists.Read More
Google’s new open source tool, Model Explorer, revolutionizes AI transparency by enabling smooth visualization and debugging of complex machine learning models, paving the way for more responsible AI development and deployment.Read More
The new Audio Native embeddable audio player automatically narrates web page content via ElevenLab’s text-to-speech technology. Read More
In a May 15 paper released in the journal Physical Review Letters, Virginia Tech physicists revealed a microscopic phenomenon that could greatly improve the performance of soft devices, such as agile flexible robots or microscopic capsules for drug delivery. The paper, written by doctoral candidate Chinmay Katke, assistant professor C. Nadir Kaplan, and co-author Peter A. Korevaar from Radboud University in the Netherlands, proposes a new physical mechanism that could speed up the expansion and
Enabling the algorithm to work its magic Sumit Makashir · Follow Published in Towards Data Science · 14 min read · 2 days ago — Photo by Mourizal Zativa on Unsplash You must have heard the saying “garbage in, garbage out.” This saying is indeed applicable when training machine learning models. If we train machine learning models using irrelevant data, even the best machine learning algorithms won’t help much. Conversely, using well-engineered meaningful features can
Listen to this article Above: Autonomous construction robot brings the accuracy of robotics to highly complex utility construction sites; The Robotic Roadworks and Excavation System is a 2021 RBR50 Award Winner By Ali Asmari, Director of Project Management, ULC Technologies In recent years, the market for field-deployed robotics has seen significant growth, mainly due to the advances in sensor technology, processing capabilities, and hardware efficiency. These technological advancements make it increasingly feasible and meaningful to
Before any mathematical development, we must first understand the foundation of learning and how it is closely linked to the concept of error Rômulo Pauliv · Follow Published in Towards Data Science · 9 min read · 19 hours ago — The Hypothetical Cook Imagine that, on any given day, you decide to replicate a delicacy you ate at a renowned restaurant. You remember the taste of this delicacy perfectly. Based on this, you search
Listen to this article Yaskawa’s AR1440 robot in a demonstration welding workcell. Source: Yaskawa CHICAGO — Yaskawa Motoman last week showed several offerings bundling its robots with vision and controls to help manufacturers adopt automation. They included collaborative and industrial robots, as well as workcells for applications such as welding and palletizing. “Sophisticated demands and shifting markets are transforming the industrial landscape, necessitating the need for smart technology and easy-to-use robots that can help companies
Artificial agents will make our lives better. At the same time, these superpowers could easily be deployed as agents of manipulation. Read More
Welcome to Startups Weekly — Haje‘s weekly recap of everything you can’t miss from the world of startups. Sign up here to get it in your inbox every Friday. We’ve been drowning in AI news this week. Google’s I/O set the pace: At its keynote, the word “AI” came up on average once per minute throughout its two-hour keynote. Yowzers! Here’s the DL on Google’s AI plans. OpenAI just dropped GPT-4o — the AI model