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…

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.…

ALBERT is a language model that addresses scalability issues faced by large language models. It achieves significant reduction in parameters through factorized parameter embedding and cross-layer parameter sharing. ALBERT also replaces the next sentence prediction objective with sentence order prediction. Compared to BERT, ALBERT achieves comparable or better performance on downstream tasks while being faster.…

China’s Ministry of Industry and Information Technology (MIIT) has released guidelines for the development of an industry ecosystem to mass-produce humanoid robots. The document predicts that humanoid robots will be as disruptive as computers, smartphones, and electric vehicles in the near future. China plans to mass-produce humanoid robots by 2025, with more advanced versions available…