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Level up your MATLAB skills for real-world engineering

From classroom to career, mastering MATLAB and Simulink opens doors to solving complex engineering challenges. Students and professionals alike can harness these tools for everything from AI-driven ...

A robot is beating human pros at table tennis. Its maker calls it a milestone for machines

A paddle-wielding robot is so adept at playing table tennis that it is posing a tough challenge to elite human players and ...
Hosted on MSN

Level up your control systems skills with MATLAB

Control systems shape the performance of technologies from autonomous vehicles to power plants. With MATLAB and Simulink, you can virtually model, design, and optimize controllers before deploying ...
eLife

Multiple functions of cerebello-thalamic neurons in learning and offline consolidation of a motor skill in mice

Distinct cerebellar projections to the forebrain differentially support acquisition and offline consolidation of a motor skill engaging cerebello-striato-cortical circuits, revealing the temporal and ...
IEEE

Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications

Abstract: Integrating learning-based techniques, especially reinforcement learning, into robotics is promising for solving complex problems in unstructured environments. Most of the existing ...
Tweakers

Based Model for UAV Self-separation Under Uncertainty

Robust Reinforcement Learning-based model for UAV self-separation under Uncertainty. Hybrid; Amsterdam , Noord-Holland , Netherlands; Aerosp ...
IEEE

Safety-Enhanced Deep Reinforcement Learning for Autonomous Driving: Dare to Make Mistakes to Learn Better and Faster

Abstract: Deep Reinforcement Learning (DRL) is becoming a prominent method for autonomous driving due to its strong capability to generate complex driving policy. However, DRL motion planning still ...
Microsoft

Experiential Reinforcement Learning

Reinforcement learning has become the central approach for language models (LMs) to learn from environmental reward or feedback. In practice, the environmental feedback is usually sparse and delayed.
news.ucsc

Brain organoids can be trained to solve a goal-directed task

Study authors Hunter Schweiger (left) and Ash Robbins. Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler and make many small ...
Microsoft

Argos: Multimodal reinforcement learning with agentic verifier for AI agents

Over the past few years, AI systems have become much better at discerning images, generating language, and performing tasks within physical and virtual environments. Yet they still fail in ways that ...
Search Engine Land

Google’s John Mueller on SEO vs. GEO: Focus on audience behavior

Google Search Advocate John Mueller responded to a Reddit user who asked whether SEO is still “enough,” or if marketers now need to think about generative engine optimization (GEO). Mueller’s answer ...