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This AI Paper from China Proposes a Novel Training-Free Approach DEER that Allows Large Reasoning Language Models to Achieve Dynamic Early Exit in Reasoning
Recent progress in large reasoning language models (LRLMs), such as DeepSeek-R1 and GPT-O1, has greatly improved complex problem-solving abilities by extending the length of CoT generation during inference. These models benefit from test-time scaling laws, allowing richer and more diverse reasoning paths. However, generating overly long CoT sequences leads to computational inefficiency and increased…

Google AI Unveils 601 Real-World Generative AI Use Cases Across Industries
Google Cloud has just released an extraordinary compendium of 601 real-world generative AI (GenAI) use cases from some of the world’s top organizations — a major leap from the 101 use cases it shared just a year ago at Google Cloud Next 2024. This sixfold expansion showcases the explosive pace at which GenAI technologies…

AI system predicts protein fragments that can bind to or inhibit a target | MIT News
All biological function is dependent on how different proteins interact with each other. Protein-protein interactions facilitate everything from transcribing DNA and controlling cell division to higher-level functions in complex organisms.Much remains unclear, however, about how these functions are orchestrated on the molecular level, and how proteins interact with each other — either with other…

A Coding Implementation with Arcad: Integrating Gemini Developer API Tools into LangGraph Agents for Autonomous AI Workflows
Arcade transforms your LangGraph agents from static conversational interfaces into dynamic, action-driven assistants by providing a rich suite of ready-made tools, including web scraping and search, as well as specialized APIs for finance, maps, and more. In this tutorial, we will learn how to initialize ArcadeToolManager, fetch individual tools (such as Web.ScrapeUrl) or entire…

LLMs Can Now Simulate Massive Societies: Researchers from Fudan University Introduce SocioVerse, an LLM-Agent-Driven World Model for Social Simulation with a User Pool of 10 Million Real Individuals
Human behavior research strives to comprehend how individuals and groups act in social contexts, forming a foundational social science element. Traditional methodologies like surveys, interviews, and observations face significant challenges, including high costs, limited sample sizes, and ethical concerns. These challenges have pushed researchers toward alternative approaches for studying human behavior. For example, Social…

Novel method detects microbial contamination in cell cultures | MIT News
Researchers from the Critical Analytics for Manufacturing Personalized-Medicine (CAMP) interdisciplinary research group of the Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, in collaboration with MIT, A*STAR Skin Research Labs, and the National University of Singapore, have developed a novel method that can quickly and automatically detect and monitor microbial contamination…
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