Category: Uncategorized
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Anthropic flags AI’s potential to ‘automate sophisticated destructive cyber attacks’
The maker of Claude LLMs revises its safety guidelines to manage escalating risks. Read more
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ADSA to Keep Humans in the Loop at Annual Meeting
Some of the predictions around AI are pretty gloomy these days, particularly when it comes to unleashing biased AI models upon the world to make poor decisions that hurt people, not to mention replacing human workers on the job. But at the Academic Data Science Alliance’s annual meeting scheduled for October 29 to 31, researchers… Read more
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Pika 1.5 updates again to add even more AI video Pikaffects: crumble, dissolve, deflate, ta-da
The move to further differentiate Pika 1.5 from competitors Runway, Luma, Kling, and Hailuo comes amid intensifying competitionRead More Read more
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Microsoft’s Differential Transformer cancels attention noise in LLMs
A simple change to the attention mechanism can make LLMs much more effective at finding relevant information in their context window.Read More Read more
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Magic Leap founder is back with $20M funding round for SyntheBee
SynthBee, started by Magic Leap founder Rony Abovitz, has raised $20 million in funding to create a new kind of “computing intelligence.”Read More Read more
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Revolutionizing Document Management: How AI Transforms Industry Processes
Artificial Intelligence (AI) is revolutionizing industry processes, from supply chain management to retail to finance, claim processing, and customer support. Over 35% of global companies utilize some type of AI, which will only increase. Why will AI use increase? Partly because of the improvements AI brings to intelligent automation-based solutions. AI speeds up and smooths… Read more
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Differentiable Adaptive Merging (DAM): A Novel AI Approach to Model Integration
Model merging, particularly within the realm of large language models (LLMs), presents an intriguing challenge that addresses the growing demand for versatile AI systems. These models often possess specialized capabilities such as multilingual proficiency or domain-specific expertise, making their integration crucial for creating more robust, multi-functional systems. However, merging LLMs effectively is not trivial; it… Read more
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Google AI Researchers Introduced a Set of New Methods for Enhancing Long-Context LLM Performance in Retrieval-Augmented Generation
Large language models (LLMs) have revolutionized various fields by enabling more effective data processing, complex problem-solving, and natural language understanding. One major innovation is retrieval-augmented generation (RAG), which allows LLMs to retrieve relevant information from external sources, such as large knowledge databases, to generate better answers. However, the integration of long-context LLMs with RAG presents… Read more
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Boston Dynamics and Toyota Research Team Up on Robots
Today, Boston Dynamics and the Toyota Research Institute (TRI) announced a new partnership “to accelerate the development of general-purpose humanoid robots utilizing TRI’s Large Behavior Models and Boston Dynamics’ Atlas robot.” Committing to working towards a general purpose robot may make this partnership sound like a every other commercial humanoid company right now, but that’s… Read more
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Neural Processing Units (NPUs): The dawn of AI PCs
In May, Microsoft unveiled a new category of PCs: Copilot+ PCs, the first of a new generation of AI laptops, desktops, and tablets that enable AI processing to happen at the edge. These devices are able to process such intensive workloads thanks to the presence of neural processing units (NPUs) on a SoC (system on… Read more