Improving the visual understanding ability of vision-language models (VLMs) is crucial for enhancing their performance across various tasks. While using multiple pretrained visual experts has shown great promise, it often incurs significant computational costs during training and inference. To address this challenge, we propose HAWAII, a novel framework that distills knowledge from multiple visual experts into a single vision encoder, enabling it to inherit the complementary strengths of several experts with minimal computational overhead. To mitigate conflicts among different teachers and switch between different teacher-specific knowledge, instead of using a fixed set of adapters for multiple teachers, we propose to use teacher-specific Low-Rank Adaptation (LoRA) adapters with a corresponding router. Each adapter is aligned with a specific teacher, avoiding noisy guidance during distillation. To enable efficient knowledge distillation, we propose fine-grained and coarse-grained distillation. At the fine-grained level, token importance scores are employed to emphasize the most informative tokens from each teacher adaptively. At the coarse-grained level, we summarize the knowledge from multiple teachers and transfer it to the student using a set of general-knowledge LoRA adapters with a router. Extensive experiments on various vision-language tasks demonstrate the superiority of HAWAII, compared to the popular open-source VLMs.

You can read the roadmap in full here . Lucy Smith is Senior Managing Editor for Robohub and AIhub. Lucy Smith is Senior Managing Editor for Robohub and AIhub.

Each year the AAAI recognizes a group of individuals who have made significant, sustained contributions to the field of artificial intelligence by appointing them as Fellows. We're talking to some of the 2026 AAAI Fellows to find out more about their work. In this interview, we chat to Sanmay Das, who was elected as a Fellow . Could you start with a quick introduction, where you work, and your general area of research? Broadly speaking, I work in multiagent systems. I've done a lot of work at the intersection of AI and economics, and over the last decade or so I've thought a lot about projects in the AI for social impact and social good space. In particular, my interest has been in the allocation of scarce societal resources, thinking about how AI can be integrated, and what it tells us about systems where we don't necessarily want full free market resource allocation.

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The FDA recently approved the cellular rejuvenation therapy ER-100 for human clinical trials. While vision is the first target, it could have applications for a variety of age-related disease. A longevity startup has dosed its first patient with a drug to reverse age-related sight loss. Life Biosciences is testing its ER-100 drug, which the company claims has restored vision in monkeys, for safety and side effects in a study of around 18 adults over the next year. It will be targeting patients with glaucoma and NAION, two conditions that cause damage to crucial cells in the optic nerve, which transmits visual information from the back of the eye to the brain.

Two crew members of a US army helicopter that crashed near the Strait of Hormuz on Monday were rescued by an American sea drone, US officials have told CBS News, the BBC's media partner. It was the first such operation carried out by US forces, the officials added. US Central Command (Centcom) earlier said the two soldiers were safely rescued within approximately two hours and are in stable condition after their AH-64 Apache helicopter went down near the coast of Oman while patrolling regional waters. It was not immediately clear whether the aircraft had developed a mechanical or any other technical problem, or had been downed by Iranian fire. The incident is being investigated.