(1) We released the 50 diffusion steps model (instead of 1000 steps) which runs 20X faster with comparable results. (2) Calling CLIP just once and caching the result runs 2X faster for all models.

Abstract: Deep learning has been extensively applied in medical image segmentation, providing significant support for disease diagnosis. However, traditional encoder-decoder networks struggle with ...

Welcome back to Lately, The Globe’s weekly tech newsletter. If you have feedback or just want to say hello to a real-life human, send me an e-mail. According to TikTok internal documents, it takes ...

For the extended end-user products, please refer to the index repo Awesome-ChatTTS maintained by the community. ChatTTS is a text-to-speech model designed specifically for dialogue scenarios such as ...

In afternoon trade, the S&P/ASX 200 Index (ASX: XJO) is on course to record a small decline. At the time of writing, the benchmark index is down 0.2% to 8,964.6 points. Four ASX shares that are ...

Tesla is expected to unveil a lower-cost version of its best-selling Model Y SUV today, a move aimed at nudging demand as subsidies go away. Hints dropped in a couple teaser videos—one showing a ...

The kit is built on top of OpenAI’s Responses API, already used by hundreds of thousands of developers, Altman said on the sidelines of DevDay conference in San Francisco. Alongside Agent Kit, OpenAI ...

Tesla rolled out “affordable” versions of its best-selling Model Y SUV and its Model 3 sedan, but the starting prices of $39,990 and $36,990 struck some as too high to attract a new class of buyers to ...

Tesla has been talking about launching new “more affordable models” during the first half of the year. The first half of 2025 came and went without new, cheaper models. Instead, Tesla claimed that the ...

Supplies of the 14-inch M4 MacBook Pro model appear to be constrained amid rumors that an upgraded M5 model could launch as soon as this year. As noted by Bloomberg's Mark Gurman, custom ...

Abstract: Due to the greatly improved capabilities of devices, massive data, and increasing concern about data privacy, Federated Learning (FL) has been increasingly considered for applications to ...