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'Heroes of Kharkiv': How 48 children were saved from kindergarten hit by Russian drone

BBC News

'Heroes of Kharkiv': How 48 children were saved from kindergarten hit by Russian drone Although moving forward, Oleksandr Volobuev's body is angled slightly away from the camera, as if bracing against the deadly air still swirling with falling debris and smoke. His face in careful concentration, the Major-General from Ukraine's Civil Protection Service clings tightly to a precious bundle, wrapped for protection in his coat - and out of which two small pink shoes protrude. It is a striking image of a dramatic rescue from a nursery school in the eastern city of Kharkiv, following a devastating, direct hit by a Russian drone. Unsurprisingly it has gone viral, capturing both the Ukrainian and the wider global public's imagination. With 48 children trapped in a shelter in the burning building, it was not the only act of bravery that day, not by a long way.


Shocking video you MUST watch before voting for Mamdani: Here's what will become of NYC under him... and it's worse than everyone fears

Daily Mail - Science & tech

Stunning before-and-after photos show the seven most dramatic changes in Trump's controversial White House makeover She was a respected Teacher of the Year finalist... until she lost everything when Charlie Kirk was killed. Inside Andrew's family summit: How Fergie wailed and'melted down' at title loss, Beatrice and Eugenie were'blindsided' and now daughters' assets face'ethics check' to avoid more scandal: BARBARA DAVIES I have no sympathy for Britney Spears. What if her latest stunt had killed a kid? It's time to admit the truth about this public menace: KENNEDY'Nazi texts' leakers UNMASKED: Alleged White House saboteurs are finally exposed... and so is their twisted motive for destroying political prodigy Extraordinary story behind GM's decision to ax much-loved CarPlay... and sinister reason ALL manufacturers will follow What is Charcot-Marie-Tooth disease... the devastating condition that killed 9-1-1 Nashville actor Isabelle Tate Bijou Phillips files to change daughter's name after ex Danny Masterson's rape conviction Treasure hunters seeking Nazi gold worth £200MILLION believe they have'found the real thing' after'monumental' discovery under remains of SS palace'brothel' Former Gambino mob boss'Sammy the Bull' Gravano reveals the truth behind the NBA betting scandal My wife won't get a job and I feel broken trying to provide for our family. Hold on, says DEAR CAROLINE... that's bad enough but your letter raises a MUCH bigger red flag I got the body of my dreams at 51 by following 9 simple rules, says beauty guru ROSIE GREEN.


Homework faces an existential crisis. Has AI made it pointless?

Los Angeles Times

Things to Do in L.A. Tap to enable a layout that focuses on the article. Homework faces an existential crisis. Has AI made it pointless? Students wait for a celebration of high test scores to begin at La Tijera Academy of Excellence in Inglewood on Wednesday. This is read by an automated voice.


Armed police in US handcuff teen after AI mistakes crisp packet for gun

BBC News

A US teenager was handcuffed by armed police after an artificial intelligence (AI) system mistakenly said he was carrying a gun - when really he was holding a packet of crisps. Police showed up, like eight cop cars, and then they all came out with guns pointed at me talking about getting on the ground, 16-year-old Baltimore pupil Taki Allen told local outlet WMAR-2 News . Baltimore County Police Department said their officers responded appropriately and proportionally based on the information provided at the time. It said the AI alert was sent to human reviewers who found no threat - but the principal missed this and contacted the school's safety team, who ultimately called the police. But the incident has prompted calls by some for the schools' procedures around the use of such technology to be reviewed.


There's a Literacy Crisis. One Classroom Solution Should Be Obvious.

Slate

You can't get better at reading until you care about a text. We are English professors who stumbled into a debate about high school pedagogy. We wrote a book to help college instructors teach close reading, the fundamental skill of literary studies. And then, well before it was published, we started hearing from education scholars training high school teachers, and high school teachers themselves, who had caught wind of the book through advance essays and word of mouth. They were interested in how we describe close reading, the tools we provide for teaching it, and the claim we make for its importance.


Using generative AI to diversify virtual training grounds for robots

Robohub

Chatbots like ChatGPT and Claude have experienced a meteoric rise in usage over the past three years because they can help you with a wide range of tasks. Whether you're writing Shakespearean sonnets, debugging code, or need an answer to an obscure trivia question, artificial intelligence systems seem to have you covered. Those data aren't enough to teach a robot to be a helpful household or factory assistant, though. To understand how to handle, stack, and place various arrangements of objects across diverse environments, robots need demonstrations. You can think of robot training data as a collection of how-to videos that walk the systems through each motion of a task.


Robot Talk Episode 130 – Robots learning from humans, with Chad Jenkins

Robohub

Claire chatted to Chad Jenkins from University of Michigan about how robots can learn from people and assist us in our daily lives. Odest Chadwicke Jenkins is a Professor of Robotics and a Professor of Electrical Engineering and Computer Science at the University of Michigan. His research addresses problems in robot learning from demonstration and human-robot interaction, primarily focused on dexterous mobile manipulation and robot perception. In 2022, he founded the Robotics Major Degree Program for undergraduates at the University of Michigan. He was awarded the 2024 ACM/CMD-IT Richard A. Tapia Achievement Award for Scientific Scholarship, Civic Science, and Diversifying Computing.


US student handcuffed after AI system apparently mistook bag of chips for firearm

The Guardian

Taki Allen said law enforcement made him get on his knees, handcuffed and searched him, finding nothing. Taki Allen said law enforcement made him get on his knees, handcuffed and searched him, finding nothing. An artificial intelligence system (AI) apparently mistook a high school student's bag of Doritos for a firearm and called local police to tell them the pupil was armed. Taki Allen was sitting with friends on Monday night outside Kenwood high school in Baltimore and eating a snack when police officers with guns approached him. "At first, I didn't know where they were going until they started walking toward me with guns, talking about, 'Get on the ground,' and I was like, 'What?'"


Teacher Demonstrations in a BabyLM's Zone of Proximal Development for Contingent Multi-Turn Interaction

arXiv.org Artificial Intelligence

Multi-turn dialogues between a child and a caregiver are characterized by a property called contingency - that is, prompt, direct, and meaningful exchanges between interlocutors. We introduce ContingentChat, a teacher-student framework that benchmarks and improves multi-turn contingency in a BabyLM trained on 100M words. Using a novel alignment dataset for post-training, BabyLM generates responses that are more grammatical and cohesive. Experiments with adaptive teacher decoding strategies show limited additional gains. ContingentChat demonstrates the benefits of targeted post-training for dialogue quality and indicates that contingency remains a challenging goal for BabyLMs.


From High-SNR Radar Signal to ECG: A Transfer Learning Model with Cardio-Focusing Algorithm for Scenarios with Limited Data

arXiv.org Artificial Intelligence

Electrocardiogram (ECG), as a crucial find-grained cardiac feature, has been successfully recovered from radar signals in the literature, but the performance heavily relies on the high-quality radar signal and numerous radar-ECG pairs for training, restricting the applications in new scenarios due to data scarcity. Therefore, this work will focus on radar-based ECG recovery in new scenarios with limited data and propose a cardio-focusing and -tracking (CFT) algorithm to precisely track the cardiac location to ensure an efficient acquisition of high-quality radar signals. Furthermore, a transfer learning model (RFcardi) is proposed to extract cardio-related information from the radar signal without ECG ground truth based on the intrinsic sparsity of cardiac features, and only a few synchronous radar-ECG pairs are required to fine-tune the pre-trained model for the ECG recovery. The experimental results reveal that the proposed CFT can dynamically identify the cardiac location, and the RFcardi model can effectively generate faithful ECG recoveries after using a small number of radar-ECG pairs for training. The code and dataset are available after the publication.