For robots, simulation is a great teacher for learning long-horizon (multi-step) tasks — especially compared to how long it takes to collect real-world training data.
Tagged with
artificial intelligence
Latest Posts
EPFL professor’s passion for sustainable flying and expertise in machine learning and computer vision drives innovation in green aviation design and beyond.
3 minutes read
MIT CSAIL researchers developed an AI-driven approach to “low-discrepancy sampling,” a method that improves simulation accuracy by distributing data points more uniformly across space.
Recognizing Groundbreaking Research in AI, Quantum, and Neuro-Inspired Computing
In this episode, we explore an innovative and sustainable wearable device designed by researchers at the Karlsruhe Institute of Technology to improve posture and we discuss why AI isn’t just a novelty in this product but a core feature that sets it apart from the rest!
12 minutes read
A team of EPFL researchers has demonstrated the feasibility of an AI-driven method for crack detection, growth and monitoring, and will soon test it on the railway section between Zermatt and Brig in Valais Canton.
2 minutes read
A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.
Edge AI is the process of running artificial intelligence (AI) and machine learning (ML) algorithms on devices at the network’s edge (periphery), rather than on large cloud servers. In simple terms, edge AI is the fusion of devices and artificial intelligence.
10 minutes read
To achieve greater efficiency, robots must develop more human-like skills, such as fast physical interaction. That was the focus of the I.AM project.
4 minutes read
Smart manufacturing integrates advanced technologies such as the Internet of Things (IoT), big data analytics, and artificial intelligence (AI) to enhance efficiencies, improve product quality, and gain a competitive advantage.
6 minutes read
Curious about how AI predicts trends or creates new content? In this piece, we dive into Predictive AI vs. Generative AI, exploring their core differences and real-world impact. Discover how these technologies shape everything from recommendations to creativity.
In this episode, we chat with Karsten Roscher - a renowned AI expert at the Fraunhofer Institute for Cognitive Systems IKS - about the importance of safety in AI products, the current challenges facing experts, and what the future holds.
Researchers have found that AI large language models, like GPT-4, are better at predicting what comes next than what came before in a sentence. This “Arrow of Time” effect could reshape our understanding of the structure of natural language, and the way these models understand it.
3 minutes read
RISC-V offers the tools needed to foster local AI innovation while also enabling worldwide collaboration and access to a global market
Unleashing the Power of GPU, understanding the essential strategies for efficient Deep Learning Model Training without compromising on memory and hardware resources in Graphical Processing Units
