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The world (still) runs on email. Invoices, product orders, travel plans - they're all in the inbox. But unstructured data and wildly disparate email formats make extracting the parts you need difficult.
OpenAI has raised $6.6B in new funding at a $157B post-money valuation to continue scaling AI. Investors include Microsoft and Nvidia.
Google has introduced new Chromebook models from Samsung and Lenovo featuring AI-powered tools. Key updates include a "Help me read" tool for summarizing PDFs and web content and live translation for video calls. Enhanced AI features are also coming to existing Chromebooks, such as AI writing tools and a built-in speech-to-text recorder.
BrainChip has announced the Akida Pico, a milliWatt-level neuromorphic chip designed for AI inference in power-constrained devices like wearables. The chip mimics brain activity to minimize energy use, targeting real-time processing needs in small user devices. Akida Pico joins similar edge-oriented neuromorphic chips from companies like Innatera and SynSense.
This paper explores how to scale learning rate when you increase the amount of training data a model sees. Llama did exponential -0.28 and this paper suggests exponential -0.33.
This paper introduces a new way to approach knowledge graph embedding by using group theory to incorporate uncertainty.
This paper presents a new method, Prompt-guided Feature Disentangling (ProFD), for addressing occlusion issues in person Re-Identification (ReID) tasks.
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Powerful enough for the AI serious, simple enough for the AI curious. Try GPU Droplets: NVIDIA H100-powered virtual machines that let you spin up virtualized GPUs on-demand, and spin them down at will. With DigitalOcean [11], there's minimal setup and you can jump right into
This tool uses Llama 3.2 3B and Llava-1.6 to organize your files on your computer into logical sections based on content.
Posterior-Mean Rectified Flow (PMRF) is an innovative algorithm for photo-realistic image restoration.
RouterDC is a novel method that enhances collaboration between multiple large language models (LLMs) by using query-based routing. It employs contrastive learning to select the best model for each query, improving performance over existing routing methods.
Researchers from ETH Zurich used AI to achieve a 100% success rate in solving Google's reCAPTCHA v2. This breakthrough highlights AI's capability to overcome image-based CAPTCHA systems. As bots become smarter, CAPTCHA's future as a security technology remains uncertain.
This article discusses the need for a negligence-based approach to AI accountability, focusing on the human factors behind AI systems. It critiques current regulatory frameworks that overlook the role of AI developers and suggests California's AI safety bill as a potential model. The article also explores the challenges in defining reasonable care in AI and the implications of treating AI developers as professionals.
This author expresses frustration with the overuse and marketing of AI, particularly in software testing and conference proposals. They argue AI tools often prioritize speed over quality and lack the unique insight of human-generated work. Despite recognizing some beneficial uses, they criticize the proliferation of mediocre AI-generated content.
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An engineering deep dive about building new capabilities into a customized version of NVIDIA's Triton inference server. Covers schemas and tools, building a state machine, and forcing valid output. Read
OpenAI has agreed to allow authors to review its training data amid copyright litigation.
The global AI arms race is dominated by Big Tech firms, chipmakers like NVIDIA, intellectual property lawyers, and The Big 4 consulting firms.
ByteDance plans to train a new AI model using Huawei's Ascend 910B chips.