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AI concerns remain unaddressed in SAG-AFTRA labor talks
Hollywood’s Screen Actors Guild-American Federation of Television and Radio Artists (SAG-AFTRA) is dissatisfied with the latest proposal from the Alliance of Motion Picture and Television Producers (AMPTP) in ongoing labor discussions. The sticking point is the use of AI in the industry. SAG-AFTRA remains uncertain if AMPTP will re-enter negotiations or cease discussions entirely. The…
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This AI Paper Has Moves: How Language Models Groove into Offline Reinforcement Learning with ‘LaMo’ Dance Steps and Few-Shot Learning
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…
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Sprint Review: More Than Just A Demo
The text discusses the difference between a sprint review and a sprint demo. It emphasizes that a sprint review is more than just a demonstration and should be a conversation involving attendees, asking for feedback and discussing new functionality ideas. Calling it a demo devalues these aspects and may lead to skipping important discussions. The…
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Leveraging LLMs to Complete Recommendation Knowledge Graphs
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…
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Using AI to optimize for rapid neural imaging
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…
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University of Surrey Researchers Developed a new Artificial Intelligence (AI) Model that Could Help the Telecommunications Network Save up to 76% in Network
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…
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Whirlpool and TechSee Win Silver in the UK Customer Experience Awards 2023
Whirlpool’s UK consumer brand, Hotpoint, has been recognized at the UK Customer Experience Awards for their use of TechSee’s Remote Visual Support technology. By implementing live video and augmented reality, Hotpoint’s call center agents can better support customers in real-time, reducing the need for unnecessary technician visits and improving efficiency. This innovative approach has also…
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This AI Paper Unveils DiffEnc: Advancing Diffusion Models for Enhanced Generative Performance
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…
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450-million-year-old organism finds new life in Softbotics
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.
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Robots Get a ‘Gripping’ Upgrade: AO-Grasp Teaches Bots the Art of Not Dropping Your Stuff!
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…