News from the AI & ML world

DeeperML

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Microsoft is making strides in artificial intelligence with the introduction of a new AI model designed to run efficiently on regular CPUs, rather than the more power-hungry GPUs traditionally required. Developed by computer scientists at Microsoft Research, in collaboration with the University of Chinese Academy of Sciences, this innovative model utilizes a 1-bit architecture, processing data using only three values: -1, 0, and 1. This allows for simplified computations that rely on addition and subtraction, significantly reducing memory usage and energy consumption compared to models that use floating-point numbers. Testing has shown that this CPU-based model can compete with and even outperform some GPU-based models in its class, marking a significant step towards more sustainable AI.

Alongside advancements in AI model efficiency, Microsoft is also enhancing user accessibility across its platforms. The company's Dynamics 365 Field Service is receiving a new Exchange Integration feature, designed to seamlessly synchronize work order bookings with Outlook and Teams calendars. This feature allows technicians to view their work assignments, personal appointments, and other work meetings in one centralized location. With a one-way sync from Dynamics 365 to Exchange that takes a maximum of 15 minutes, technicians can operate within Outlook, reducing scheduling confusion and creating a more streamlined workflow.

However, the rapid expansion of AI also raises concerns about energy consumption and resource management. OpenAI CEO Sam Altman has revealed that user politeness, specifically the use of "please" and "thank you" when interacting with ChatGPT, is costing the company millions of dollars in electricity. This highlights the immense energy requirements of AI chatbots, which consume significantly more power than traditional Google searches. These insights underscore the importance of developing energy-efficient AI solutions, as well as considering the broader environmental impact of increasingly complex AI systems.
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References :
Classification:
  • HashTags: #MicrosoftAI #AIefficiency #dotNET
  • Company: Microsoft
  • Target: Developers, IT professionals
  • Product: .NET AI Chat Web App Template, Copilot
  • Feature: CPU-based AI, Integration
  • Type: AI
  • Severity: Informative