News from the AI & ML world
DeeperML - #aiintegration
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Allison Siu@NVIDIA Blog
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Amazon is currently testing a new feature called "Buy for Me" within its mobile shopping app. This innovative tool allows users to purchase products from third-party brand websites that are not directly sold by Amazon, all without ever leaving the Amazon app environment. The feature leverages AI agents to seamlessly complete the purchase process on these external sites. "Buy for Me" is in a limited beta release for select iOS and Android users in the U.S.
When a customer searches for an item not available on Amazon, the app will display qualifying products from external brand sites in a dedicated section titled "Shop brand sites directly". Tapping on one of these items opens a product detail page within the Amazon app. From this page, users can select the "Buy for Me" option, granting Amazon permission to complete the transaction. Amazon's AI, combined with Anthropic's Claude, securely enters the payment and shipping information, while the brand handles fulfillment, customer service, and any potential returns. This initiative showcases the potential of narrowly scoped, highly specialized AI agents in providing useful services. It keeps customers within Amazon's ecosystem while extending functionality beyond its own inventory. Retailers can deepen customer engagement, enhance their offerings and maintain a competitive edge in a rapidly shifting digital marketplace by tapping into AI agents. Recommended read:
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alex.wawro@futurenet.com (Alex@tomsguide.com
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Microsoft is actively integrating AI across its product lines to enhance both functionality and security. One significant development involves the use of AI-powered Security Copilot to identify vulnerabilities in open-source bootloaders. This expedited discovery process has revealed 20 previously unknown vulnerabilities in GRUB2, U-Boot, and Barebox, which could impact systems relying on Unified Extensible Firmware Interface (UEFI) Secure Boot. These vulnerabilities, particularly in GRUB2, could allow threat actors to bypass Secure Boot and install stealthy bootkits, potentially granting them complete control over affected devices.
Microsoft is also expanding AI capabilities on Copilot Plus PCs, particularly those powered by Intel and AMD processors. Features like Live Captions, which translates audio into English subtitles in real-time, as well as creative tools like Cocreator in Paint, Restyle Image, and Image Creator in Photos, are becoming more widely available. The company is additionally testing a new tool called Quick Machine Recovery, designed to remotely restore unbootable Windows 11 devices by automatically diagnosing and deploying fixes through Windows Update, preventing widespread outages similar to those experienced in the past. Recommended read:
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Maximilian Schreiner@THE DECODER
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THE DECODER
, Analytics Vidhya
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OpenAI is set to integrate Anthropic's Model Context Protocol (MCP) across its product line, according to an announcement by CEO Sam Altman on X. MCP is an open-source standard that allows AI models to connect directly to various data systems, enabling them to access, query, and interact with business tools, repositories, and software in real time. This integration will begin with the Agents SDK, followed by the ChatGPT desktop app and Responses API, effectively standardizing how AI assistants access and utilize external data sources.
This move addresses one of AI's biggest limitations: isolation from real-world data, which eliminates the need for custom integrations for each data source. Anthropic's Chief Product Officer Mike Krieger noted that MCP has become "a thriving open standard with thousands of integrations and growing" since its open-source release. Companies like Block, Apollo, Replit, Codeium, and Sourcegraph have also adopted MCP. A recent study by MIT and OpenAI suggests excessive dependency on ChatGPT can lead to loneliness and a "loss of confidence" in decision-making. The study, involving over 1,000 ChatGPT users over four weeks, revealed that overreliance on the tool for advice and explanations can result in unhealthy emotional dependency and potentially "addictive behaviors." Researchers plan to investigate whether this overdependence negatively impacts users' urgency and confidence in problem-solving. Recommended read:
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Maximilian Schreiner@THE DECODER
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OpenAI has announced it will adopt Anthropic's Model Context Protocol (MCP) across its product line. This surprising move involves integrating MCP support into the Agents SDK immediately, followed by the ChatGPT desktop app and Responses API. MCP is an open standard introduced last November by Anthropic, designed to enable developers to build secure, two-way connections between their data sources and AI-powered tools. This collaboration between rivals marks a significant shift in the AI landscape, as competitors typically develop proprietary systems.
MCP aims to standardize how AI assistants access, query, and interact with business tools and repositories in real-time, overcoming the limitation of AI being isolated from systems where work happens. It allows AI models like ChatGPT to connect directly to the systems where data lives, eliminating the need for custom integrations for each data source. Other companies, including Block, Apollo, Replit, Codeium, and Sourcegraph, have already added MCP support, and Anthropic's Chief Product Officer Mike Krieger welcomes OpenAI's adoption, highlighting MCP as a thriving open standard with growing integrations. Recommended read:
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Maximilian Schreiner@THE DECODER
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OpenAI has announced its support for Anthropic’s Model Context Protocol (MCP), an open-source standard. The move is designed to streamline the integration between AI assistants and various data systems. MCP is an open standard that facilitates connections between AI models and external repositories and business tools, eliminating the need for custom integrations.
The integration is already available in OpenAI's Agents SDK, with support coming soon to the ChatGPT desktop app and Responses API. The aim is to create a unified framework for AI applications to access and utilize external data sources effectively. This collaboration marks a pivotal step towards enhancing the relevance and accuracy of AI-generated responses by enabling real-time data retrieval and interaction. Anthropic’s Chief Product Officer Mike Krieger welcomed the development, noting MCP has become “a thriving open standard with thousands of integrations and growing.” Since Anthropic released MCP as open source, multiple companies have adopted the standard for their platforms. CEO Sam Altman confirmed on X that OpenAI will integrate MCP support into its Agents SDK immediately, with the ChatGPT desktop app and Responses API following soon. Recommended read:
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Maximilian Schreiner@THE DECODER
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OpenAI and Anthropic, competitors in the AI space, are joining forces to standardize AI-data integration through the Model Context Protocol (MCP). Introduced by Anthropic last November, MCP is an open standard designed to enable developers to build secure, two-way connections between data sources and AI-powered tools. The protocol allows AI systems like ChatGPT to access digital documents and other data, enhancing the quality and relevance of AI-generated responses. MCP functions as a "USB-C port for AI applications," offering a universal method for connecting AI models to diverse data sources and supporting secure, bidirectional interactions between AI applications (MCP clients) and data sources (MCP servers).
With OpenAI's support, MCP is gaining momentum as a vendor-neutral way to simplify the implementation of AI agents. Microsoft and Cloudflare have already announced support for MCP, with Microsoft adding it to Copilot Studio. This collaboration aims to improve AI interoperability by providing a standard way for AI agents to access and retrieve data, streamlining the process of building and maintaining agents. The goal is to enable AI agents to take actions based on real-time data, making them more practical for everyday business use, with companies like Databricks aiming to improve the accuracy of AI agents to above 95 percent. Recommended read:
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staff@insidehpc.com
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BigDATAwire
Nvidia's GTC 2025 event showcased the company's advancements in AI, particularly highlighting the integration of AI into various industries. CEO Jensen Huang emphasized that every industry is adopting AI and it is becoming critical for future revenue. Nvidia also unveiled an open Physical AI dataset to advance robotics and autonomous vehicle development. The dataset is claimed to be the world’s largest unified and open dataset for physical AI development, enabling the pretraining and post-training of AI models.
Central to Nvidia’s ambitions for Physical AI is its Omniverse platform, a digital development platform connecting spatial computing, 3D design, and physics-based workflows. Originally designed as a simulation and visualization tool, Omniverse has evolved significantly and has now become more of an operating system for Physical AI, allowing users to train autonomous systems before physical deployment. In quantum computing, SEEQC and Nvidia announced they have completed an end-to-end fully digital quantum-classical interface protocol demo between a QPU and GPU. Recommended read:
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matthewthomas@Microsoft Industry Blogs
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Source
, The Quantum Insider
Microsoft is emphasizing both AI security and advancements in quantum computing. The company is integrating AI features across its products and services, including Microsoft 365, while also highlighting the critical intersection of AI innovation and security. Microsoft will host Microsoft Secure on April 9th, an online event designed to help professionals discover AI innovations for the security lifecycle. Attendees can learn how to harden their defenses, secure AI investments, and discover AI-first tools and best practices.
Microsoft is also continuing its work in quantum computing, recently defending its topological qubit claims at the American Physical Society (APS) meeting. While Microsoft maintains confidence in its results, skepticism remains within the scientific community regarding the verification methods used, particularly the reliability of the topological gap protocol (TGP) in detecting Majorana quasiparticles. Chetan Nayak, a leading theoretical physicist at Microsoft, presented the company’s findings, acknowledging the skepticism but insisting that the team is confident. Recommended read:
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Matthias Bastian@THE DECODER
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Google has announced significant upgrades to its Gemini app, focusing on enhanced functionality, personalization, and accessibility. A key update is the rollout of the upgraded 2.0 Flash Thinking Experimental model, now supporting file uploads and boasting a 1 million token context window for processing large-scale information. This model aims to improve reasoning and response efficiency by breaking down prompts into actionable steps. The Deep Research feature, powered by Flash Thinking, allows users to create detailed multi-page reports with real-time insights into its reasoning process and is now available globally in over 45 languages, accessible for free or with expanded access for Gemini Advanced users.
Another major addition is the experimental "Personalization" feature, integrating Gemini with Google apps like Search to deliver tailored responses based on user activity. Gemini is also strengthening its integration with Google apps such as Calendar, Notes, Tasks, and Photos, enabling users to handle complex multi-app requests in a single prompt. Google is also putting Gemini 2.0 AI into robots through the DeepMind AI team, which has developed two new models of Gemini specifically designed to work with robots. The first, Gemini Robotics, is an advanced vision-language-action (VLA) LLM that uses physical motion to respond to prompts. The second model, Gemini Robots-ER, is a VLM with advanced spatial understanding, enabling robots to navigate changing environments. Google is partnering with robotics companies to further develop humanoid robots. Google will replace its long-standing Google Assistant with Gemini on mobile devices later this year. The classic Google Assistant will no longer be accessible on most mobile devices, marking the end of an era. The shift represents Google's pivot toward generative AI, believing that Gemini's advanced AI capabilities will deliver a more powerful and versatile experience. Gemini will also come to tablets, cars, and connected devices like headphones and watches. The company also introduced Gemini Embedding, a novel embedding model initialized from the powerful Gemini Large Language Model, aiming to enhance embedding quality across diverse tasks. Recommended read:
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Matthias Bastian@THE DECODER
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Google is enhancing its Gemini AI assistant with the ability to access users' Google Search history to deliver more personalized and relevant responses. This opt-in feature allows Gemini to analyze a user's search patterns and incorporate that information into its responses. The update is powered by the experimental Gemini 2.0 Flash Thinking model, which the company launched in late 2024.
This new capability, known as personalization, requires explicit user permission. Google is emphasizing transparency by allowing users to turn the feature on or off at any time, and Gemini will clearly indicate which data sources inform its personalized answers. To test the new feature Google suggests users ask about vacation spots, YouTube content ideas, or potential new hobbies. The system then draws on individual search histories to make tailored suggestions. Recommended read:
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Charles Lamanna@Microsoft 365 Blog
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Microsoft is enhancing Copilot Studio with new capabilities to build autonomous agents, set to be in public preview at Microsoft Ignite 2024. These agents are designed to understand the nature of users' work and act on their behalf, offering support across business roles, teams, and functions. The goal is to transform business operations by automating complex tasks and streamlining workflows.
These autonomous agents can be configured, secured, and tested, automating tasks across apps and data sources for entire teams. Organizations are already utilizing Copilot Studio to create agents for specific business workflows, such as Pets at Home, which developed an agent for its profit protection team that could potentially drive a seven-figure annual savings. Copilot Studio plays a crucial role in customizing Copilot and creating agents for an entire company, enhancing efficiency, customer experience, and driving growth. Recommended read:
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