Artificial intelligence model compression startup Refiant AI said today it has raised $5 million in seed funding from VoLo Earth Ventures to try to put an end to the “arms race” that has ignited a ...

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI chatbots. The cache grows as conversations lengthen, ...

Because video clips are made up of sequences of individual images, or “frames,” video compression algorithms share many concepts and techniques with still-image compression algorithms. Therefore, we ...

Video compression has become an essential technology to meet the burgeoning demand for high‐resolution content while maintaining manageable file sizes and transmission speeds. Recent advances in ...

Large Language Models (LLMs), often recognized as AI systems trained on vast amounts of data to efficiently predict the next part of a word, are now being viewed from a different perspective. A recent ...

There are a thousand reasons to hate hopping on a video call every 10 minutes to chat with your co-workers, among them the ugly video compression artifacts that can occasionally make your face ...

Suffix arrays serve as a fundamental tool in string processing by indexing all suffixes of a text in lexicographical order, thereby facilitating fast pattern searches, text retrieval, and genome ...

Google developed a new compression algorithm that will reduce the memory needed for AI models. If this breakthrough performs ...

CompareAI is the first iOS app to enable experimentation with a library of state-of-the-art Deep Learning-based image compression algorithms on real world, resource-limited devices WILMINGTON, Del., ...

ZeroPoint Technologies AB, a startup with hardware that enables processors to make more efficient use of DRAM, has secured $5.5 million in early-stage funding. The company said in its announcement of ...

In a nutshell: Stable Diffusion is a phenomenal example of how much a picture is worth more than a thousand words. In fact, by cutting the image-generation text prompt altogether, the visual AI could ...

Signal compression is an appealing technique to use in mixed-signal ATE (automated test equipment) systems because it can reduce the cost of test while improving tester performance. Unfortunately, ...