Kim Jong Un declares AI military drone development a'top priority' North Korea's Supreme Leader Kim Jong Un has said the use of artificial intelligence is a "top priority" in modernising his country's increasingly sophisticated weapons technology and building up drone capabilities, state media reports. During a visit to the Unmanned Aeronautical Technology Complex in the capital Pyongyang on Thursday, Kim presided over performance tests of multipurpose drones and unmanned surveillance vehicles, North Korea's Korean Central News Agency (KCNA) said on Friday. Kim also called for "expanding and strengthening the serial production capacity of drones". The visit to the aeronautical complex comes just a week after Kim oversaw another test of a new solid-fuel rocket engine designed for intercontinental ballistic missiles, which he hailed as a "significant" expansion of Pyongyang's nuclear capabilities. North Korea's military power includes nuclear-armed ballistic and cruise missiles, an increasing stockpile of nuclear weapons and a nascent spy satellite programme, according to the United States Defense Intelligence Agency (DIA).

Deep learning has significantly advanced electrocardiogram (ECG) analysis, enabling automatic annotation, disease screening, and prognosis beyond traditional clinical capabilities. However, understanding these models remains a challenge, limiting interpretation and gaining knowledge from these developments. In this work, we propose a novel interpretability method for convolutional neural networks applied to ECG analysis. Our approach extracts time-localized clusters from the model's internal representations, segmenting the ECG according to the learned characteristics while quantifying the uncertainty of these representations. This allows us to visualize how different waveform regions contribute to the model's predictions and assess the certainty of its decisions. By providing a structured and interpretable view of deep learning models for ECG, our method enhances trust in AI-driven diagnostics and facilitates the discovery of clinically relevant electrophysiological patterns.

This work proposes a distance that combines Minkowski and Chebyshev distances and can be seen as an intermediary distance. This combination not only achieves efficient run times in neighbourhood iteration tasks in Z^2, but also obtains good accuracies when coupled with the k-Nearest Neighbours (k-NN) classifier. The proposed distance is approximately 1.3 times faster than Manhattan distance and 329.5 times faster than Euclidean distance in discrete neighbourhood iterations. An accuracy analysis of the k-NN classifier using a total of 33 datasets from the UCI repository, 15 distances and values assigned to k that vary from 1 to 200 is presented. In this experiment, the proposed distance obtained accuracies that were better than the average more often than its counterparts (in 26 cases out of 33), and also obtained the best accuracy more frequently (in 9 out of 33 cases).

Understanding and controlling the informational complexity of neural networks is a central challenge in machine learning, with implications for generalization, optimization, and model capacity. While most approaches rely on entropy-based loss functions and statistical metrics, these measures often fail to capture deeper, causally relevant algorithmic regularities embedded in network structure. We propose a shift toward algorithmic information theory, using Binarized Neural Networks (BNNs) as a first proxy. Grounded in algorithmic probability (AP) and the universal distribution it defines, our approach characterizes learning dynamics through a formal, causally grounded lens. We apply the Block Decomposition Method (BDM) -- a scalable approximation of algorithmic complexity based on AP -- and demonstrate that it more closely tracks structural changes during training than entropy, consistently exhibiting stronger correlations with training loss across varying model sizes and randomized training runs. These results support the view of training as a process of algorithmic compression, where learning corresponds to the progressive internalization of structured regularities. In doing so, our work offers a principled estimate of learning progression and suggests a framework for complexity-aware learning and regularization, grounded in first principles from information theory, complexity, and computability.

Eyeing the future of self-driving cars, Musk's Tesla settles accident case Billionaire tycoon Elon Musk's Tesla has said its future will be centred around Robotaxis, robots and self-driving cars. Musk's own fortunes, including the promise of a $1 trillion pay package, will depend on the carmaker hitting those milestones over the next decade. One key feature to achieve some of those goals revolves around Tesla's ability to offer a fully self-driving service - the company is required to sell up to 10 million subscriptions for self-driving cars as one of the conditions in the proposed trillion-dollar pay package. That is not a spotlight that Tesla wants, and the company recently settled with the family of a 15-year-old boy in San Francisco who died in 2019 after a Tesla self-driving car hit the car his father was driving, court filings on Monday showed. The family of Jovani Maldonado had alleged that the self-driving car was at fault for the accident. The settlement came weeks after a Florida jury ordered the company to pay $243m in damages to the family of a female pedestrian who had died in a crash involving a Tesla self-driving car.

Today on, we talk about why the AI industry is investing in the development of humanoid robots, and what that means for us non-robots. This week, WIRED learned that OpenAI is ramping up its efforts in robotics--specifically, by hiring researchers who work on AI systems for humanoid robots. Humanoids, robots built to resemble us and perform daily tasks, were famous for their clumsiness just a few years ago. Senior writer Will Knight tells us about how that's rapidly changing on today's episode cohosted by Michael Calore and senior correspondent Kylie Robison. Write to us at uncannyvalley@wired.com . You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link . My Lord and Savior Lauren Goode, I'm so happy to fill in for her, but I miss her dearly. Also on the show this week, we have Will Knight, our AI expert at WIRED. Welcome back to the show, Will. Given the topic of today's episode, I want to ask you both. Do you have a favorite robot movie? Mine is The Iron Giant. I was just looking up when that came out because I swear I watched it on VHS as a kid. Yeah, I loved that movie. It's got a very sad ending. The robot is no longer.

The Take How is China using AI in the classroom? Artificial intelligence education now starts at the age of six in China. The Ministry of Education has rolled out new guidelines to teach AI at every grade level. For President Xi Jinping, AI is a priority. Will the toddlers of today be the tech titans of the future?

The Israeli military says a drone launched "from the east" crashed in the southern city of Eilat, causing material damage but no casualties. The drone reportedly fell in the city's hotel zone. Israel has repeatedly conducted its own attacks on Yemen. Following its bombing of Qatar on September 9, Israel intensified its strikes on Yemen, killing dozens. The drone attack in Eilat follows a series of 12 strikes carried out by Israel on Tuesday against Yemen's port of Hodeidah.

Trump's UK visit: What to know What did Jimmy Kimmel say about Charlie Kirk? How tariffs are unraveling India's textile industry Nvidia to become one of Intel's biggest shareholders with new investment Nvidia says it will invest $5bn into Intel, throwing its heft behind the struggling US chip company, but has stopped short of giving Intel a crucial manufacturing deal. Nvidia, which is based in Santa Clara, California, announced the investment on Thursday. TSMC currently manufactures Nvidia's flagship processors, a business that the world's most valuable company could one day extend to Intel. AMD, which competes with Intel for supplying chips to data centres, also stands to lose because of Nvidia's backing of Intel.

Jon Stewart leads defense of Jimmy Kimmel as late night hosts unite to mock Trump's'censorship' Trump just humiliated Harry and Meghan with two brutal words... but even more embarrassing is the reason they're having to stay silent: MAUREEN CALLAHAN Disturbing full story of singer D4vd's relationship with girl, 13, found dismembered in his Tesla... as creepy messages, songs and links to stars are exposed Utter chaos breaks out backstage at The View over Jimmy Kimmel: Hosts at war and staff in fear... as network bosses impose strict new'rule' The strain shows on Jimmy Kimmel as he emerges for first time after show's shock cancellation Queen Camilla appears to'pull rank' as Kate chats animatedly with Melania during State visit - and ushers Princess back towards William Seth Meyers responds to Jimmy Kimmel cancellation with dose of mockery for Trump: 'A great president, an even better golfer' President of America's biggest university forced to step down over'transgender indoctrination' Starbucks responds after barista refuses to write'Charlie Kirk' on customer's cup due to'policy' Millions under tsunami threat as fallout from monster 7.8 earthquake threatens US Woman, 84, horrified after stomach-churning discovery in Morrisons juice: 'Dead snake' slithered out of carton Two elderly women were left horrified and upset when they found a'dead snake' in a carton of fruit juice--and refuse to believe supermarket bosses' claim that the foot-long gelatinous entity is merely a string of mould. Betty Richards, 84, bought a carton of apple and mango juice from the Armthorpe branch of Morrisons as a treat for her best friend of twenty years, Julie Bircumshaw, also 84. The BBC reports that Ms Bircumshaw noticed some'bits of black' around the opening of the 1L carton, but after tasting the juice, thought it was fine to drink. When Ms Richards popped over to see her friend at home in Doncaster a week later, she was told about the discolouration around the nozzle. She was concerned, and decided to take a closer look at the £1.35 carton--which was almost empty.