Meet NovelSeek: A Unified Multi-Agent Framework for Autonomous Scientific Research from Hypothesis Generation to Experimental Validation Scientific research across fields like chemistry, biology, and artificial intelligence has traditionally depended on human experts to explore knowledge, generate ideas, design experiments, and refine results. However, as problems become more complex and data-intensive, the pace of discovery has… →

This AI Paper from Microsoft Introduces WINA: A Training-Free Sparse Activation Framework for Efficient Large Language Model Inference Large language models (LLMs) with billions of parameters are integral to many AI-driven services across various industries. However, their substantial size and intricate architectures present significant computational challenges during inference. As these models continue to evolve, optimizing… →

Cisco’s Latest AI Agents Report: The Transformative Impact of Agentic AI on Customer Experience The Evolution of Customer Experience in B2B Technology The customer experience (CX) paradigm within B2B technology is evolving significantly, driven by advancements in agentic AI. Cisco’s recent Agentic AI Report provides a thorough assessment of how AI agents—characterized by autonomous decision-making,… →

This AI Paper Introduces ARM and Ada-GRPO: Adaptive Reasoning Models for Efficient and Scalable Problem-Solving Reasoning tasks are a fundamental aspect of artificial intelligence, encompassing areas like commonsense understanding, mathematical problem-solving, and symbolic reasoning. These tasks often involve multiple steps of logical inference, which large language models (LLMs) attempt to mimic through structured approaches such… →

«`html A Coding Guide to Building a Scalable Multi-Agent Communication System Using Agent Communication Protocol (ACP) This tutorial implements the Agent Communication Protocol (ACP) by building a flexible, ACP-compliant messaging system in Python, utilizing Google’s Gemini API for natural language processing. The guide covers the installation and configuration of the google-generativeai library and introduces core… →

Multimodal Foundation Models Fall Short on Physical Reasoning: PHYX Benchmark Highlights Key Limitations in Visual and Symbolic Integration Recent advancements in multimodal foundation models have shown significant progress in disciplines such as mathematics and knowledge-based reasoning. While these models achieve human-competitive accuracy on benchmarks like AIME, GPQA, MATH-500, and OlympiadBench, they fall short in a… →