The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how ...
Meta has just released a new multilingual automatic speech recognition (ASR) system supporting 1,600+ languages — dwarfing ...
The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...
What’s happened? Microsoft AI has unveiled the slightly clunkily named MAI-Image-1, its in-house text-to-image system. The pitch is straightforward, generate useful pictures quickly, not flashy demos ...
We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in this coding implementation. Instead of classifying or generating text ...
IBM today announced the release of Granite 4.0, the newest generation of its homemade family of open source large language models (LLMs) designed to balance high performance with lower memory and cost ...
While it has yet to be officially announced by Apple, the upcoming iOS 26 update adds Qi 2.2 support to all iPhone 16 models, except for the iPhone 16e. iPhone 16, iPhone 16 Plus, iPhone 16 Pro, and ...
Aug 14 (Reuters) - The U.S. is poised to see supply shortages of 30% and 10%, respectively, of power and distribution transformers this year, as surging electricity consumption drives demand for power ...
STOCKHOLM, Aug 5 (Reuters) - French mobile operator Orange (ORAN.PA), opens new tab said on Tuesday it plans to use OpenAI's latest AI models with African languages. The benefits of AI models have ...
There are several AI tools available that can generate humanlike speech. Some AI voices can whisper, laugh, and perform other expressive feats. TTS tools vary in terms of level of realism and their ...
LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...
Abstract: Extracting crucial information from lengthy documents can be a time-consuming and labor-intensive process. Automatic text summarization algorithms address this challenge by condensing ...
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