Tag: Microsoft

BitNet: Efficient AI Language Models by Microsoft

Microsoft's BitNet b1.58 2B4T revolutionizes AI with ternary quantization, enabling efficient, accessible large language models on everyday devices through low memory usage and faster processing.

BitNet: Efficient AI Language Models by Microsoft

Microsoft Boosts AI with Two New MCP Servers

Microsoft unveils Azure MCP Server and PostgreSQL Flexible Server, enhancing AI interoperability and streamlining data access for diverse AI models and applications.

Microsoft Boosts AI with Two New MCP Servers

Microsoft BitNet: CPU AI, M2-like, GPU-Free

Microsoft's BitNet runs on CPUs like Apple M2, GPU-free, doubled speed, lightweight, and open-source. It's revolutionizing resource-efficient AI, enabling deployment on devices with limited resources, fostering collaboration and innovation.

Microsoft BitNet: CPU AI, M2-like, GPU-Free

Microsoft's Hyper-Efficient AI Model on CPUs

Microsoft introduces BitNet b1.58 2B4T, a hyper-efficient AI model designed to run on CPUs, including Apple's M2, democratizing AI across diverse hardware platforms with speed and reduced memory usage.

Microsoft's Hyper-Efficient AI Model on CPUs

Microsoft's 1-Bit AI: Revolutionizing Energy Efficiency

Microsoft's BitNet b1.58 2B4T, a 1-bit LLM, achieves remarkable efficiency on CPUs with its 1-bit architecture. This model is more accessible and energy-efficient and promises advancements in sustainable and decentralized AI.

Microsoft's 1-Bit AI: Revolutionizing Energy Efficiency

Microsoft's AI Strategy: Recalibration, Not Retreat

Microsoft is strategically adjusting its AI investments, shifting focus from intensive training to cost-effective model deployment and efficient resource allocation, ensuring long-term competitiveness.

Microsoft's AI Strategy: Recalibration, Not Retreat

Microsoft's AI Strategy: The Power of Following

Microsoft, led by Mustafa Suleyman, adopts a 'fast follower' AI strategy, leveraging partners like OpenAI while developing its own Phi models. This cost-effective approach focuses on optimization and ecosystem building for long-term market integration, aiming for eventual self-sufficiency.

Microsoft's AI Strategy: The Power of Following

Viral Ghibli AI Art: A Windfall for Microsoft

Viral Ghibli-style AI images, powered by OpenAI's GPT-4o, showcased AI's potential. This trend highlighted Microsoft's strategic gain, driven by its deep OpenAI partnership, massive investment, and Azure's crucial role as the primary cloud provider, turning user engagement into significant cloud revenue and validating Microsoft's AI-centric vision.

Viral Ghibli AI Art: A Windfall for Microsoft

JAL Boosts Cabin Crew Efficiency with On-Device AI

Japan Airlines introduces the JAL-AI Report app, using Microsoft's on-device Phi-4 SLM. This tool helps cabin crew quickly document inflight events, reducing administrative time by up to two-thirds. The AI generates and translates reports offline, freeing attendants for passenger care. It's part of JAL's wider strategy to integrate AI across operations.

JAL Boosts Cabin Crew Efficiency with On-Device AI

Microsoft Adds Advanced AI Research Tools to Copilot

Microsoft enhances Copilot with 'Researcher' and 'Analyst' tools for deep AI research, challenging competitors like OpenAI and Google. These agents leverage reasoning models and integrate with work data via connectors, aiming to transform productivity despite accuracy concerns. Initial access is through the Frontier program.

Microsoft Adds Advanced AI Research Tools to Copilot