Records found: 10
‘Discover how the Model Context Protocol (MCP) is transforming AI integration in 2025 with standardized, secure connections between AI models and external data sources.’
Falcon-H1 from TII introduces a hybrid model combining attention and state space mechanisms, achieving performance on par with leading 70B parameter LLMs while optimizing efficiency and scalability.
Fractional Reasoning introduces a model-agnostic method to adaptively control reasoning depth in LLMs, enhancing performance and efficiency on complex reasoning tasks.
Baidu releases ERNIE 4.5, a series of open-source large language models scaling from 0.3 billion to 424 billion parameters, featuring advanced architectures and strong multilingual capabilities.
Polaris-4B and Polaris-7B introduce a novel reinforcement learning recipe that scales reasoning capabilities efficiently, achieving state-of-the-art results on math benchmarks with smaller models.
Artem Sokolov, founder of Humanoid, shares insights into developing versatile humanoid robots designed to improve human work environments, ethical AI practices, and commercialization strategies driving the future of robotics.
Apple faces significant setbacks in AI development ahead of WWDC 2025, with delayed features and weaker AI models compared to rivals, risking user loyalty.
Enterprises are moving AI from experiments to strategic core, with data quality and governance as critical factors for successful AI implementation and business impact.
Alibaba launches Qwen3, an innovative open-source AI series blending fast and deliberate reasoning, challenging ChatGPT and Google’s AI supremacy.
The Model Context Protocol (MCP) is revolutionizing AI integration by standardizing connectivity between AI models, tools, and data sources, enhancing performance and scalability across industries.