AI & RoboticsNews

DeepSeek-V3, ultra-large open-source AI, outperforms Llama and Qwen on launch

Chinese AI startup DeepSeek, known for challenging leading AI vendors with its innovative open-source technologies, today released a new ultra-large model: DeepSeek-V3. Available via Hugging Face under the company’s license agreement, the new model comes with 671B parameters but uses a mixture-of-experts architecture to activate only select parameters, in order to handle given tasks accurately…
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AI & RoboticsNews

Why 2025 will be the year of AI orchestration

In the tech world, we like to label periods as the year of (insert milestone here). This past year (2024) was a year of broader experimentation in AI orchestration and, of course, agentic use cases. As 2025 opens, VentureBeat spoke to industry analysts and IT decision-makers…
AI & RoboticsNews

Inside the AI agent revolution: How data-driven automation transformed the enterprise in 2024

If 2023 was the year of generative AI-powered chatbots and search, 2024 was all about AI agents. What started from Devin earlier this year grew into a full-blown phenomenon, offering enterprises and individuals a way to transform how they work at different levels, from programming and development to personal tasks such as planning and booking tickets for a holiday. Among these wide-ranging…
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AI & RoboticsNews

ChatGPT adds more PC and Mac app integrations, getting closer to piloting your computer

OpenAI has expanded the number of applications its desktop apps can work with, including allowing Advanced Voice Mode to work with other apps, and is moving closer to ChatGPT using computers. The desktop app introduced integrations in November with an initial four applications. During Day 11 of its “12 Days of OpenAI” event, OpenAI announced several new integrated development environments…
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AI & RoboticsNews

Learn how GE Healthcare used AWS to build a new AI model that interprets MRIs

MRI images are understandably complex and data-heavy. Because of this, developers training large language models (LLMs) for MRI analysis have had to slice captured images into 2D. But this results in just an approximation of the original image, thus limiting the model’s ability to analyze intricate anatomical structures. This creates challenges in complex cases involving brain tumors, skeletal…
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