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Sam Altman is reported to be raising money for a resilient and distributed system of AI chip manufacturing factories. The current AI chip supply chain is strongly tied to geopolitical conflicts and is at risk of disruption.
A pair of scientists at Google's artificial intelligence subsidiary DeepMind is in talks with investors to form an AI startup in Paris, highlighting how in-demand top AI minds are at the moment.
Samsung is set to unveil new AI-focused phones, highlighting the evolution of AI in mobile technology, exemplified by Google's Pixel 8 Pro and the popular Rabbit R1 from CES 2024.
Generating video from text descriptions is an active area of research with many powerful models coming in the last few weeks. This blog from the Hugging Face team outlines the task, current challenges, and the state of the research. It isn’t completely comprehensive, but will give a great starting point for further reading.
OMG-Seg is a new model that can perform various image and video segmentation tasks using a single efficient system. Unlike traditional methods that use different models for each task, OMG-Seg handles everything from image semantics to interactive video segmentation, making it a one-stop solution with reduced complexity and enhanced performance.
Researchers have developed BriVIS, a method that improves open-vocabulary Video Instance Segmentation (VIS). By using a technique called Brownian Bridges, BriVIS maintains the context of object movements across video frames, leading to a more accurate alignment between video and text.
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🆕 DataStax has recently introduced its new Data API [12] — an easy way to develop GenAI and RAG apps on Astra DB. Want to see how it works? Check out this upcoming livestream to hear from engineers at DataStax and LangChain and dive into how they built WikiChat, a natural language interface to Wikipedia. Register for the livestream
HuggingFace has released Nanotron, a small and powerful library for training models with 3D parallelism. This means it splits the data, the model, and the layers/tensors in the model. The first two types of parallelism are well supported in libraries like PyTorch. However, splitting the model tensors is custom to each model and hard to implement in general. This library provides useful primitives to make that process easier and less error-prone.
HuggingFace has released Datatrove, a library for filtering large text datasets. It has many useful primitives and full parallel pipelines for text filtering. Examples using Gopher quality filters in C4 are available.
Simple software that can be used to add captions to your images for AI training.
Microsoft and the Pacific Northwest National Laboratory have found a new battery material using AI and large-scale cloud computing. The material is a new kind of solid-state electrolyte. It could lead to batteries that are less likely to burst into flames compared to lithium-ion batteries. While the material still needs to be tested to see whether it is a viable alternative to lithium-ion batteries, the finding demonstrates AI's potential for speeding up material discovery.
RSHazeNet is a new framework designed to remove haze from remote-sensing images. The tool uses innovative modules to better understand and preserve important details in images, making them clearer and more useful for analysis.
The new ViSFT method enhances vision foundation models, like those used in image-text training, by applying a two-stage process similar to fine-tuning in language models.
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The insights outlined below underscore the value of leveraging Unstructured and LangChain to optimize RAG architectures to process semi-structured content from Independent Health’s data.
Deploy a call center AI without code.
AI Toolkit is a header-only C++ library that brings finite state machines, behavior trees, utility AI, and goal-oriented action planning to game NPCs.
The enhanced version of Bard promises to deliver more complex and better responses compared to the current version, which runs on Gemini Pro and competes with GPT 3.5.