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Frenzy: A Memory-Aware Serverless Computing Method for Heterogeneous GPU Clusters
Artificial Intelligence (AI) has been making significant advances with an exponentially growing trajectory, incorporating vast amounts of data and building more complex Large Language Models (LLMs). Training these LLMs requires more computational power and resources for memory allocation, power usage, and hardware. Optimizing memory utilization for different types and configurations of GPUs is complex. Deciding…
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This AI Paper by The Data Provenance Initiative Team Highlights Challenges in Multimodal Dataset Provenance, Licensing, Representation, and Transparency for Responsible Development
The advancement of artificial intelligence hinges on the availability and quality of training data, particularly as multimodal foundation models grow in prominence. These models rely on diverse datasets spanning text, speech, and video to enable language processing, speech recognition, and video content generation tasks. However, the lack of transparency regarding dataset origins and attributes creates…
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This AI Paper Introduces ROMAS: A Role-Based Multi-Agent System for Efficient Database Monitoring and Planning
Multi-agent systems (MAS) are pivotal in artificial intelligence, enabling multiple agents to work collaboratively to solve intricate tasks. These systems are designed to function in dynamic and unpredictable environments, addressing data analysis, process automation, and decision-making tasks. By incorporating advanced frameworks and leveraging large language models (LLMs), MAS has increased efficiency and adaptability for various…
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Salesforce AI Research Introduces AGUVIS: A Unified Pure Vision Framework Transforming Autonomous GUI Interaction Across Platforms
Graphical User Interfaces (GUIs) play a fundamental role in human-computer interaction, providing the medium through which users accomplish tasks across web, desktop, and mobile platforms. Automation in this field is transformative, potentially drastically improving productivity and enabling seamless task execution without requiring manual intervention. Autonomous agents capable of understanding and interacting with GUIs could revolutionize…
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OpenAI’s o3 shows remarkable progress on ARC-AGI, sparking debate on AI reasoning
o3 solved one of the most difficult AI challenges, scoring 75.7% on the ARC-AGI benchmark. But does it really mean we’re closer to AGI?Read More
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Redesigning Datasets for AI-Driven Mathematical Discovery: Overcoming Current Limitations and Enhancing Workflow Representation
Current datasets used to train and evaluate AI-based mathematical assistants, particularly LLMs, are limited in scope and design. They often focus on undergraduate-level mathematics and rely on binary rating protocols, making them unsuitable for evaluating complex proof-based reasoning comprehensively. These datasets lack representation of critical aspects of mathematical workflows, such as intermediate steps and problem-solving…
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NATO’s Emergency Plan for an Orbital Backup Internet
On 18 February 2024, a missile attack from the Houthi militants in Yemen hit the cargo ship Rubymar in the Red Sea. With the crew evacuated, the disabled ship would take weeks to finally sink, becoming an symbol for the security of the global Internet in the process. Before it went down, the ship dragged…
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How NASA Might Change Under Donald Trump
The Trump transition team is looking for “big changes” at NASA—including some cuts.
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5 of the Most Influential Machine Learning Papers of 2024
Artificial intelligence (AI) research, particularly in the machine learning (ML) domain, continues to increase the amount of attention it receives worldwide.
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The Top 10 Energy Stories of 2024
IEEE Spectrum’s most-read energy stories of 2024 centered on creative ways to produce, store and connect more carbon-free energy. Our readers wanted to know more about power beaming, new kinds of nuclear fusion, vertical solar farms, powerful ways to drill deeper into the Earth’s crust to harness geothermal energy, and grid hardware that connects renewable…