Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been teaching advanced AI models to reason, which means solving problems step by step. But in a new paper published in the journal Nature, the team from DeepSeek AI, a Chinese artificial intelligence company, reports that they were able to teach their R1 model to reason on its own without human input.Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been teaching advanced AI models to reason, which means solving problems step by step. But in a new paper published in the journal Nature, the team from DeepSeek AI, a Chinese artificial intelligence company, reports that they were able to teach their R1 model to reason on its own without human input.Computer Sciences[#item_full_content]

Warning: This article contains discussion of suicide and self-harm. If you or someone you know is struggling with mental health or suicidal thoughts, call or text 988 (the Suicide and Crisis Lifeline) in the U.S. For those outside the U.S., the International Association for Suicide Prevention can provide access to contact information to more than 1,300 crisis centers around the world.Warning: This article contains discussion of suicide and self-harm. If you or someone you know is struggling with mental health or suicidal thoughts, call or text 988 (the Suicide and Crisis Lifeline) in the U.S. For those outside the U.S., the International Association for Suicide Prevention can provide access to contact information to more than 1,300 crisis centers around the world.Business[#item_full_content]

A research team affiliated with UNIST has unveiled an innovative, high-precision AI-powered quality inspection system that reduces inspection time from 12 minutes to just under 3 seconds. This cutting-edge technology facilitates real-time, micron-scale defect detection during continuous manufacturing processes, paving the way for fully automated, inline quality control in high-speed production environments.A research team affiliated with UNIST has unveiled an innovative, high-precision AI-powered quality inspection system that reduces inspection time from 12 minutes to just under 3 seconds. This cutting-edge technology facilitates real-time, micron-scale defect detection during continuous manufacturing processes, paving the way for fully automated, inline quality control in high-speed production environments.Engineering[#item_full_content]

Artificial intelligence or AI uses computers to perform tasks that would normally have needed human intelligence. Today AI is being put to use in many aspects of everyday life, like virtual banking assistants, health chatbots, self-driving cars, even the recommendations you see on social media.Artificial intelligence or AI uses computers to perform tasks that would normally have needed human intelligence. Today AI is being put to use in many aspects of everyday life, like virtual banking assistants, health chatbots, self-driving cars, even the recommendations you see on social media.Business[#item_full_content]

Artificial intelligence may well save us time by finding information faster, but it is not always a reliable researcher. It frequently makes unsupported claims that are not backed up by reliable sources. A study by Pranav Narayanan Venkit at Salesforce AI Research and colleagues found that about one-third of the statements made by AI tools like Perplexity, You.com and Microsoft’s Bing Chat were not supported by the sources they provided. For OpenAI’s GPT 4.5, the figure was 47%.Artificial intelligence may well save us time by finding information faster, but it is not always a reliable researcher. It frequently makes unsupported claims that are not backed up by reliable sources. A study by Pranav Narayanan Venkit at Salesforce AI Research and colleagues found that about one-third of the statements made by AI tools like Perplexity, You.com and Microsoft’s Bing Chat were not supported by the sources they provided. For OpenAI’s GPT 4.5, the figure was 47%.Consumer & Gadgets[#item_full_content]

Scientists said Wednesday that they had created an AI model able to predict medical diagnoses years in advance, building on the same technology behind consumer chatbots like ChatGPT.Scientists said Wednesday that they had created an AI model able to predict medical diagnoses years in advance, building on the same technology behind consumer chatbots like ChatGPT.Machine learning & AI[#item_full_content]

What happens when we get out of the driver’s seat and our vehicles become autonomous? Mathematician Viktor Larsson is developing methods to enable cars and drones to see their surroundings. This is his insight into the self-driving present and future.What happens when we get out of the driver’s seat and our vehicles become autonomous? Mathematician Viktor Larsson is developing methods to enable cars and drones to see their surroundings. This is his insight into the self-driving present and future.Automotive[#item_full_content]

AI companies have sucked up the world’s entire music catalog and are guilty of “willful, commercial-scale copyright infringement,” a major music industry group told AFP.AI companies have sucked up the world’s entire music catalog and are guilty of “willful, commercial-scale copyright infringement,” a major music industry group told AFP.Business[#item_full_content]

Artificial intelligence could boost the value of global trade by almost 40% by 2040 thanks to cost reductions and productivity gains, the World Trade Organization said Wednesday.Artificial intelligence could boost the value of global trade by almost 40% by 2040 thanks to cost reductions and productivity gains, the World Trade Organization said Wednesday.Business[#item_full_content]

When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational and financial budget. Since training a model can amount to millions of dollars, developers need to be judicious with cost-impacting decisions about, for instance, the model architecture, optimizers, and training datasets before committing to a model.When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational and financial budget. Since training a model can amount to millions of dollars, developers need to be judicious with cost-impacting decisions about, for instance, the model architecture, optimizers, and training datasets before committing to a model.Computer Sciences[#item_full_content]