InfoQ Homepage Machine Learning Content on InfoQ
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Enhanced Security for Enterprises: Google Launches Google Threat Intelligence
At the recent RSA Conference in San Francisco, Google Cloud introduced Google Threat Intelligence, a new security offering for large organizations. The new solution provides users with actionable insights, external threat monitoring, attack surface management, digital risk protection, and in-depth analysis of Indicators of Compromise (IOC).
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Hugging Face Unveils LeRobot, an Open-Source Machine Learning Model for Robotics
Hugging Face has unveiled LeRobot, a new machine learning model trained for real-world robotics applications. LeRobot functions as a platform, offering a versatile library for data sharing, visualization, and training of advanced models.
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Amazon Q Business and Amazon Q Developer Now Generally Available
AWS has recently announced the general availability of Amazon Q a generative AI-powered assistant tailored for businesses and developers. Amazon Q Developer provides code suggestions and recommendations in real time, while Amazon Q Business enables companies to get insights from structured and unstructured data.
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Modern Data Architecture, ML, and Resilience Topics Announced for QCon San Francisco 2024
QCon San Francisco returns November 18-22, focusing on innovations and emerging trends you should pay attention to in 2024. With technical talks from international software practitioners, QCon will provide actionable insights and skills you can take back to your teams.
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People, Planet, Cloud and AI: Key Takeaways from QCon London
This year’s QCon London brought a wealth of talks directly or indirectly related to software architecture, ranging from the rise of AI to more established areas like anything cloud-related to the usual classics like architecture quality traits . The conference also featured many talks about sociotechnical aspects of software architecture and engineering and broadly considered sustainability.
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Challenges and Solutions for Building Machine Learning Systems
According to Camilla Montonen, the challenges of building machine learning systems are mostly creating and maintaining the model. MLOps platforms and solutions contain components needed to build machine systems. MLOps is not about the tools; it is a culture and a set of practices. Montonen suggests that we should bridge the divide between practices of data science and machine learning engineering.
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Ines Montani at QCon London: Economies of Scale Can’t Monopolise the AI Revolution
During her presentation at QCon London, Ines Montani, co-founder and CEO of explosion.ai (the maker of spaCy), stated that economies of scale are not enough to create monopolies in the AI space and that open-source techniques and models will allow everybody to keep up with the “Gen AI revolution”.
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Stability AI Releases 3D Model Generation AI Stable Video 3D
Stability AI recently released Stable Video 3D (SV3D), an AI model that can generate 3D mesh object models from a single 2D image. SV3D is based on the Stable Video Diffusion model and produces state-of-the-art results on 3D object generation benchmarks.
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Mistral Large Foundation Model Now Available on Amazon Bedrock
AWS announced the availability of the Mistral Large Foundation Model on Amazon Bedrock during the recent AWS Paris Summit. This announcement comes days after the release of Mistral AI Models on Amazon Bedrock.
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Airbnb Open-Sources its ML Feature Platform Chronon
Chronon, Airbnb's platform which creates the infrastructure required to transform raw data into ML-ready features, is now open source. As Airbnb ML infrastructure engineer Varant Zanoyan explains, Chronon supports a variety of data sources and aims to provide low-latency streaming.
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Google Announces Agent Builder, Expanded Gemini 1.5, Open-Source Additions
At the Google Cloud Next 2024 event, Google announced the launch of Vertex AI Agent Builder, the public preview of Google's most advanced generative AI model, Gemini 1.5 Pro, and the addition of open-source language models to the Vertex AI platform.
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Google Trains User Interface and Infographics Understanding AI Model ScreenAI
Google Research recently developed ScreenAI, a multimodal AI model for understanding infographics and user interfaces. ScreenAI is based on the PaLI architecture and achieves state-of-the-art performance on several tasks.
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QCon London: Lessons Learned from Building LinkedIn’s AI/ML Data Platform
At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. He specifically delved into Venice DB, the NoSQL data store used for feature persistence. The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning.
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NVIDIA Announces Next-Generation AI Superchip Blackwell
NVIDIA recently announced their next generation GPU architecture, Blackwell. Blackwell is the largest GPU ever built, with over 200 billion transistors, and can train large language models (LLMs) up to 4x faster than previous generation hardware.
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Meta Unveils 24k GPU AI Infrastructure Design
Meta recently announced the design of two new AI computing clusters, each containing 24,576 GPUs. The clusters are based on Meta's Grand Teton hardware platform, and one cluster is currently used by Meta for training their next-generation Llama 3 model.