Trump 2.0 has deleted or altered nearly 400 US datasets, endangering public health, education and more - The Guardian

Authors: Alan Li, Ved Chirayath Laboratory for Advanced Sensing, NASA Ames Research Center. Recently, there has been increased interest in monitoring the effects of climate change upon the world’s marine ecosystems, particularly coral reefs. These delicate ecosystems are especially threatened due to their sensitivity to ocean warming and acidification, leading to unprecedented levels of coral bleaching and die-off in recent years. However, current global aquatic remote sensing datasets are unable to quantify changes in marine ecosystems at spatial and temporal scales relevant to their growth. We at LAS are directly addressing this challenge through recent UAV imaging campaigns directed towards coral reefs, utilizing a new algorithm known as Fluid Lensing capable of removing optical distortions caused by the fluid surface to produce cm-scale resolution imagery of benthic cover. Taking these data products, we were able to generate highly detailed and accurate maps of coral cover and morphology breakdown utilizing MAP estimation, with error rates of 5% and 8% , respectively.

AbstractAs AI chatbots are increasingly being used in education contexts and digital modalities are increasingly being used in depression assessment research, it is important to understand human perspectives and bias. My research started in two main areas: exploring AI chatbot acceptability at Bryant University and comparing digital depression assessment datasets. For the former research area, we surveyed faculty, staff, and students about their AI chatbot use and perceptions at the end of 2023 and 2025. While usage increased over the two years, support of AI chatbots in education remained relatively consistent. For the latter research area, we identified observational datasets for depression assessment collected by smartphones (n=80), wearable technology (n=80), and cameras (n=63). Women comprised the majority of participants across all three modalities, with patients less frequently recruited for smartphone datasets and the elderly more frequently recruited for wearable technology datasets. Missing dataset details were prevalent, raising concerns regarding the ability to assess the bias and generalizability of models constructed on these datasets.

When she woke up in the middle of the night last Thursday, Jasmine Ault went to check her phone like she usually would. But she didn’t expect to see a notification telling her that her Instagram and Facebook account had been permanently disabled by Meta. It was only the start of an odyssey of frustration and anxiety spanning multiple days as Ault struggled to get to the bottom of how 20 years of personal data and professional contacts had been taken from her overnight  — all while being stonewalled by AI customer service with no option to reach a human being, even after paying extra. “It feels like I've lost everything in a metaphorical fire with my digital albums and my digital memories,” Ault, who lives in Toronto, told CBC News. “And who's going to protect those if I can only speak to AI?”Ault is only the latest victim in a pattern growing increasingly common over the past two years. Numerous Canadians have reported their Meta accounts being abruptly wiped, leaving them stuck interfacing with AI chatbots unable to grasp the complexities of their situation.

Continuous glucose monitors (CGMs) could transform diabetes management for millions of Americans with type 2 diabetes who don't take insulin, according to findings published in the New England Journal of Medicine. The clinical trial found that adults using CGMs spent approximately five additional hours each day within their target blood sugar range compared with those receiving routine care. Nearly twice as many CGM users also achieved an A1c level below 7%, a common treatment goal for people with diabetes.