Researchers have developed a framework called Language Models for Motion Control (LaMo) that incorporates Large Language Models (LLMs) for offline reinforcement learning. LaMo combines pre-trained LLMs with Decision Transformers (DT) and introduces innovations like LoRA fine-tuning and auxiliary language loss. It outperforms existing methods in sparse-reward tasks and narrows the gap between value-based offline RL…

Recommender systems are crucial in helping users navigate the vast amount of choices available on the internet. However, accurately predicting user preferences and providing personalized recommendations remains challenging. One emerging approach is the use of knowledge graphs, which encode diverse contextual information and relationships between entities. Language models like GPT-3 can augment knowledge graphs by…

Connectomics, the study of mapping animal brains, is experiencing significant growth. Researchers from MIT and Harvard have developed SmartEM, an electron microscopy technique that utilizes machine learning to analyze brain synapses and neurons at nanometer precision. This integration of hardware and software allows for rapid understanding of complex brain images. SmartEM has the potential to…

Researchers from the University of Surrey have developed an AI-driven model to optimize the allocation of computing power in Open Radio Access Networks (O-RANs). By minimizing VNF computational costs and reducing overhead associated with reconfigurations, the model has the potential to significantly enhance bandwidth utilization efficiency. The study showcased up to a 76% reduction in…

Diffusion models are powerful and versatile models used in various generation tasks such as image, speech, video, and music generation. They employ a Markov Chain to gradually add random noise to images, then learn to reverse the process to generate high-quality images. This article introduces a new framework called DiffEnf that increases the flexibility of…

Carnegie Mellon University’s College of Engineering replicated a soft robot based on fossil evidence of pleurocystitids. The marine organism, which lived 450 million years ago, was one of the earliest echinoderms that could move using a muscular stem.

AO-Grasp is an innovative technology that improves the ability of robots to interact with their environment by generating stable and reliable grasps for articulated objects such as cabinets and appliances. It outperforms existing methods in both synthetic and real-world scenarios, enabling robots to effectively manipulate these objects. The AO-Grasp method utilizes a dataset of actionable…

OpenAI recently announced at the OpenAI DevDay that ChatGPT users can now create AI agents called GPTs. With GPTs, users can prompt ChatGPT to perform specific functions without the need for extra context or saving prompts. GPTs are specialized versions of ChatGPT that can be created by providing instructions, expanded knowledge, and selecting desired actions.…