AI can taste • 3D video models • Nobel prizes • AI video updates • AI news this week
Welcome to the AI Search newsletter. Here are the top highlights in AI this week.
Scientists at Penn State have created an AI-powered 'electronic tongue' that can identify subtle differences in food and drinks with over 95% accuracy. This device combines a sensor with a neural network trained to mimic how the human brain perceives taste. The electronic tongue can quickly detect various samples, including watered-down milk, different sodas, coffee blends, and spoiled fruit juices. Read more
Pyramid Flow is a new open-source AI video generator that can create high-quality 10-second videos at 768p resolution and 24 fps. Developed by researchers from Peking University and Kuaishou Technology, it uses a novel pyramidal flow matching method to reduce computational costs while maintaining visual quality. It can generate videos from text prompts or images and has demonstrated impressive results rivaling proprietary offerings like Runway and Kling AI.
OpenAI is seeking to reduce its dependence on Microsoft's data centers by exploring options to set up its own computing infrastructure. The company plans to lease an entire data center in Texas from Oracle, as Microsoft reportedly isn't meeting OpenAI's rapidly growing compute needs. Additionally, OpenAI is developing its own AI chip to potentially decrease reliance on Nvidia's hardware for AI model development and deployment. Read more
NVIDIA has developed EdgeRunner, an AI model that can create high-quality 3D mesh models from either 2D images or 3D point clouds. The model, called Auto-regressive Auto-encoder (ArAE), can produce meshes with up to 4,000 faces and a spatial resolution of 512, effectively "filling in the gaps" between sparse point data or inferring 3D information from 2D images. This technology represents a significant advancement in 3D modeling, allowing for the creation of detailed 3D objects that can be further refined by humans if needed. Read more
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NVIDIA has released NVLM-1.0-D-72B, a powerful new AI model that can understand both text and images. This model, with 72 billion parameters, can perform tasks like interpreting memes, analyzing charts, and solving math problems. Read more
FacePoke is a free real-time facial editing tool that changes facial features and expressions in portraits. Adjust expressions, head movements, and subtle emotions with precision and ease using a simple drag-and-drop interface. Read more
Researchers have developed PMRF, a new algorithm for photo restoration. PMRF works by first predicting the posterior mean of an image, then using a rectified flow model to transport it to a high-quality version that matches the distribution of ground-truth images. This approach outperforms previous methods across various image restoration tasks. Read more
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Researchers have developed MonST3R, a new AI approach that directly estimates geometry from dynamic video scenes. Unlike previous methods that break down the task into separate steps, MonST3R creates a "pointmap" for each video frame, allowing it to handle moving objects more effectively. Read more
Geoffrey Hinton and Demis Hassabis have been awarded Nobel Prizes for their groundbreaking work in artificial intelligence. Hinton received the Nobel Prize in Physics for his foundational contributions to machine learning with artificial neural networks, while Hassabis shared the Nobel Prize in Chemistry for developing AlphaFold, which revolutionized protein structure prediction. These awards highlight the growing importance of AI research and its potential to transform various scientific fields. Read more