News from the AI & ML world
DeeperML - #aisolutions
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@siliconangle.com
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siliconangle.com
, thequantuminsider.com
SAS and Intel are collaborating to redefine AI architecture through optimized intelligence, moving away from a GPU-centric approach. This partnership focuses on aligning hardware and software roadmaps to deliver smarter performance, lower costs, and greater trust across various environments. Optimized intelligence allows businesses to tailor their AI infrastructure to specific use cases, which ensures efficient and ethical AI practices with human-centered design, instilling greater confidence in real-world outcomes. SAS and Intel have a 25-year relationship built around this concept, with deep investments in technical alignment to ensure hardware and software co-evolve.
SAS is integrating Intel's silicon innovations, such as AMX acceleration and Gaudi GPUs, into its Viya platform to provide cost-effective performance. This collaboration enables clients to deploy advanced models without overspending on infrastructure, with Viya demonstrating significant performance improvements on the latest Intel platforms. The company is also working with companies like Procter & Gamble and quantum hardware providers including D-Wave, IBM, and QuEra to develop hybrid quantum-classical solutions for real-world problems across industries like life sciences, finance, and manufacturing. A recent global SAS survey revealed that over 60% of business leaders are actively investing in or exploring quantum AI, although concerns remain regarding high costs, a lack of understanding, and unclear use cases. SAS aims to make quantum AI more accessible by working on pilot projects and research, providing guidance to businesses on applying quantum technologies. SAS Principal Quantum Architect Bill Wisotsky states that quantum technologies allow companies to analyze more data and achieve fast answers to complex questions, and SAS wants to simplify this research for its customers. Recommended read:
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Alexey Shabanov@TestingCatalog
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Microsoft is significantly enhancing its Copilot AI assistant with new features focused on personalization, memory, and proactive task completion. These upgrades are designed to make Copilot a more useful and intuitive companion for users, moving beyond simple Q&A to a more personable and supportive AI experience. Microsoft's CEO of AI, Mustafa Suleyman, emphasizes that the key differentiator in the competitive AI assistant market will be the personality and tone of the AI, aiming to create a relationship where users feel like they are interacting with someone they know well.
Copilot's new capabilities include improved memory, allowing it to remember user preferences, important details like birthdays and favorite foods, and even corrections made by the user. This enhanced memory enables Copilot to provide more customized solutions, proactive suggestions, and personalized reminders. Additionally, Copilot is gaining the ability to take action on behalf of users, such as booking flights, making dinner reservations, and purchasing items online. This functionality, known as Copilot Actions, will work with various websites, making Copilot a more versatile and helpful tool for everyday tasks. Further upgrades include a new "Discover" screen on both mobile and web platforms, offering interactive cards and personalized daily briefings. The "Vision" feature allows Copilot to access and understand content from other websites when used within the Edge browser. Microsoft is also exploring features like adjustable reasoning effort, "Pages" for content creation, and animated avatars to enhance the user experience. These advancements, along with tools like "Deep Research" and the ability to generate podcasts, position Copilot as a comprehensive AI assistant capable of assisting users in various aspects of their lives. Recommended read:
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@laptopmag.com
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Microsoft is celebrating its 50th anniversary on April 4th, 2025, marking a significant milestone focused on its AI driven future. Top executives highlighted the company's vision for AI, centered around Copilot, which will be further integrated into Microsoft products. Mustafa Suleyman, CEO of Microsoft AI, emphasized that Copilot will understand users in the context of their lives and show up in the right way at the right time, calling it "a new kind of relationship with technology."
Microsoft is launching Researcher and Analyst AI agents in Microsoft 365 Copilot. Researcher integrates OpenAI's deep research model with Microsoft 365 Copilot's orchestration and search capabilities to perform complex, multi-step research workflows. Analyst, powered by OpenAI's o3-mini reasoning model, helps turn raw data into actionable insights within minutes, capable of running Python code to process complex data queries. These agents, accessible through the "Frontier" program, aim to provide on-demand assistance in data analysis and general research tasks, enhancing user capabilities across various applications. Recommended read:
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@computerworld.com
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Cisco is enhancing its Webex platform with new AI-powered features designed to improve both customer service and employee collaboration. Announced at Enterprise Connect, the updates focus on what Cisco calls "agentic AI collaboration," with the goal of anticipating needs, automating tasks, and boosting productivity. Key announcements include the general availability of Webex AI Agent and new features for the Cisco AI Assistant in Webex Contact Center and Webex Suite, along with solutions for Webex Calling and device integrations.
Cisco is aiming to transform traditional contact centers into customer experience centers by making use of AI. Webex AI Agent, set for general availability on March 31, 2025, is a 24/7 self-service solution that uses natural language to handle routine customer questions and fulfill requests. The Cisco AI Assistant for Webex Contact Center will also receive new features, including suggested responses and real-time transcription for agents. Workflow automation in Cisco AI Assistant for Webex will streamline processes by integrating with enterprise applications like Salesforce, ServiceNow, and Jira, to improve efficiency. Recommended read:
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