Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

NASSCOM backs text and data mining exemptions for AI training in India, fuelling debate over copyright, consent, and creator compensation.

VLJ tracks meaning across video, outperforming CLIP in zero-shot tasks, so you get steadier captions and cleaner ...

In Yellowstone, the long, rising howl of a gray wolf has always felt like pure mystery, a sound that hints at meaning but ...

As Multimodal Large Language Models (MLLMs) develop, their potential security issues have become increasingly prominent. Machine Unlearning (MU), as an effective strategy for forgetting specific ...

Abstract: Speculative decoding has proven to be a powerful method for speeding up autoregressive inference by allowing tokens to be generated in parallel using a draft-then-verify approach. However, ...

Transformers have revolutionized deep learning, but have you ever wondered how the decoder in a transformer actually works?

Abstract: Point clouds have become a popular training data for many practical applications of machine learning in the fields of environmental modeling and precision agriculture. In order to reduce ...

Speculative decoding is a widely adopted technique for accelerating inference in large language models (LLMs), yet its application to vision-language models (VLMs) remains underexplored, with existing ...