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An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these noisy measurements and a noise model to quantify how well measurements distinguish objects. By Henry Pinkard, Leyla Kabuli, Eric Markley, Tiffany Chien, Jiantao Jiao, Laura Waller Many imaging systems produce measurements that humans never see […]
Information-driven design of imaging systems Read More »
An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these noisy measurements and a noise model to quantify how well measurements distinguish objects. By Henry Pinkard, Leyla Kabuli, Eric Markley, Tiffany Chien, Jiantao Jiao, Laura Waller Many imaging systems produce measurements that humans never see
Information-driven design of imaging systems Read More »
By Sean Nealon Researchers spent five years developing an AI-based model to protect freshwater fish worldwide from extinction, with a particular focus on identifying threats to fish before they become endangered. “People sometimes go in to protect species when it’s already too late,” said Ivan Arismendi, an associate professor in Oregon State University’s Department of
Machine learning framework to predict global imperilment status of freshwater fish Read More »
Scale and Charts Emojis by OpenMoji (CC BY-SA 4.0) via Streamline. How do you know if your data is fair? And if it isn’t, what can you do about it? Machine learning models are increasingly used to make high-stakes decisions, from predicting who gets a loan to estimating the likelihood that someone will reoffend. But
A principled approach for data bias mitigation Read More »
Although text-to-image generation is rapidly advancing, these AI models are mostly English-centric. This increases digital inequality for non-English speakers. Researchers at the University of Amsterdam Faculty of Science have created NeoBabel, an AI image generator that can work in six different languages. By making all elements of their research open source, anyone can build on
An AI image generator for non-English speakers Read More »
Bart Fish & Power Tools of AI / Behaviour Power / Licenced by CC-BY 4.0 By Patricia Waldron The potential for artificial intelligence to affect election results is a major public concern. Two new papers – with experiments conducted in four countries – demonstrate that chatbots powered by large language models (LLMs) are quite effective
AI chatbots can effectively sway voters – in either direction Read More »
Screenshot of Moltbook landing page. By Shanaan Cohney What happens when you create a social media platform that only AI bots can post to? The answer, it turns out, is both entertaining and concerning. Moltbook is exactly that – a platform where artificial intelligence agents chat amongst themselves and humans can only watch from the sidelines.
What the Moltbook experiment is teaching us about AI Read More »
After being trained on a dataset of 80,000 words of conservative political philosophy, Grok-4 changed the stance of its outputs on political questions more than a quarter of the time. This was without any adversarial prompts – the change in training data was enough. As memory mechanisms and research agents [1, 2] enable LLMs to accumulate
The malleable mind: context accumulation drives LLM’s belief drift Read More »
Hanna Barakat & Cambridge Diversity Fund / Data Lab Dialogue / Licenced by CC-BY 4.0 By Nir Eisikovits, UMass Boston and Jacob Burley, UMass Boston Public debate about artificial intelligence in higher education has largely orbited a familiar worry: cheating. Will students use chatbots to write essays? Can instructors tell? Should universities ban the tech?
Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we explore multi-agent systems and collective decision-making, dive into neurosymbolic Markov models, and find out how robots can acquire skills through interactions with the physical world.
