【导读】常用的attention机制存在位置偏置和padding异常，影响剪枝效果。上海大学曾丹团队提出一种无需重新训练的attention去偏方法，有效提升剪枝性能，使模型在信息受限时仍能可靠运行，为VLMs在移动端和边缘计算等场景的高效部署提供了新思路。

MIT researchers discovered that vision-language models often fail to understand negation, ignoring words like “not” or “without.” This flaw can flip diagnoses or decisions, with models sometimes ...

There are different types of AI models available in the market for users to choose from, and it will largely depend on the type of service they need from the machine learning technology, and Google ...

After announcing Gemma 2 at I/O 2024 in May, Google today is introducing PaliGemma 2 as its latest open vision-language model (VLM). The first version of PaliGemma launched in May for use cases like ...

The proposed VLM-based human-guided mobile robot navigation approach aims to enable humans to use natural language instructions to guide the industrial robot to perform manufacturing tasks in an ...

As I highlighted in my last article, two decades after the DARPA Grand Challenge, the autonomous vehicle (AV) industry is still waiting for breakthroughs—particularly in addressing the “long tail ...

Vision language models (VLMs) have made impressive strides over the past year, but can they handle real-world enterprise challenges? All signs point to yes, with one caveat: They still need maturing ...

Narwal, a global leader in smart home cleaning, today announced the launch of its 2026 flagship robot vacuum, the Narwal Flow 2, bringing advanced AI capabilities and enhanced cleaning performance to ...