As artificial intelligence models become increasingly advanced, electronics engineers have been trying to develop new hardware that is better suited for running these models, while also limiting power-consumption and boosting the speed at which they process data. Some...
Machine learning & AI
A Minecraft-based benchmark to train and test multi-modal multi-agent systems
Researchers at the University of California- Los Angeles (UCLA) have recently developed TeamCraft, a new open-world environment for the training and evaluation of algorithms for embodied artificial intelligence (AI) agents, including teams of multiple robots. This...
Meta unveils HOT3D dataset for advanced computer vision training
While most humans can innately use their hands to communicate with others or grab and manipulate objects, many existing robotic systems only excel at simple manual tasks. In recent years, computer scientists worldwide have been developing machine learning-based models...
AI-powered algorithm enables personalized age transformation for human faces
Researchers at University of North Carolina at Chapel Hill and University of Maryland recently developed MyTimeMachine (MyTM), a new AI-powered method for personalized age transformation that can make human faces in images or videos appear younger or older,...
LLMs are becoming more brain-like as they advance, researchers discover
Large language models (LLMs), the most renowned of which is ChatGPT, have become increasingly better at processing and generating human language over the past few years. The extent to which these models emulate the neural processes supporting language processing by...
Zero-shot approach allows robots to manipulate articulated objects
To help humans to complete everyday manual tasks, robots should be able to reliably manipulate everyday objects that vary in shape, texture and size. Many conventional approaches to enable robotic manipulation of various objects rely on extensive training and precise...
Engineers develop device that merges sensing and computing functions for reconfigurable computing platform
Imitation learning framework enhances quadruped robots’ loco-manipulation skills in the wild
Quadruped robots integrating manipulators could potentially tackle tasks that entail manipulating objects while swiftly moving around in their surrounding environment. These include tasks such as collecting the trash around the house, collecting specific objects and...
Soft e-skin utilizes magnetic fields to independently sense three-axis forces
Electronic skins (e-skins) are flexible sensing materials designed to mimic the human skin's ability to pick up tactile information when touching objects and surfaces. Highly performing e-skins could be used to enhance the capabilities of robots, to create new haptic...
Novel framework can generate images more aligned with user expectations
Generative models, artificial neural networks that can generate images or texts, have become increasingly advanced in recent years. These models can also be advantageous for creating annotated images to train algorithms for computer vision, which are designed to...