All posts by Artificial Intelligence News -- ScienceDaily

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Study shows vision-language models can’t handle queries with negation words

Researchers found that vision-language models, widely used to analyze medical images, do not understand negation words like 'no' and 'not.' This could cause them to fail unexpectedly when asked to retrieve medical images that contain certain objects but not others.

Energy and memory: A new neural network paradigm

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations -- it's a triumph of your associative memory, in which one piece of information (the first few notes) triggers the memory of the entire pattern (the song), without you actually having to hear the rest of the song again. We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality.

Protons on the move

Scientists have successfully relocated protons outside of an antimatter laboratory with the help of an autonomous, open Penning trap. This breakthrough marks a significant step toward transporting antiprotons produced at the European Organization for Nuclear Research (CERN) to high-precision laboratories, which operate independently of the research facility. Extremely precise measurements to compare matter and antimatter are only possible far from accelerator facilities.

AI meets the conditions for having free will — we need to give it a moral compass

AI is advancing at such speed that speculative moral questions, once the province of science fiction, are suddenly real and pressing, says a philosopher and psychology researcher Frank Martela. Martela's latest study finds that generative AI meets all three of the philosophical conditions of free will -- the ability to have goal-directed agency, make genuine choices and to have control over its actions. This development brings us to a critical point in human history, as we give AI more power and freedom, potentially in life or death situations.

Privacy-aware building automation

Researchers developed a framework to enable decentralized artificial intelligence-based building automation with a focus on privacy. The system enables AI-powered devices like cameras and interfaces to cooperate directly, using a new form of device-to-device communication. In doing so, it eliminates the need for central servers and thus the need for centralized data retention, often seen as a potential security weak point and risk to private data.
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