Articles for category: AI News

Does the UK’s liver transplant matching algorithm systematically exclude younger patients?

By Arvind Narayanan, Angelina Wang, Sayash Kapoor, and Solon Barocas Predictive algorithms are used in many life-or-death situations. In the paper Against Predictive Optimization, we argued that the use of predictive logic for making decisions about people has recurring, inherent flaws, and should be rejected in many cases. A wrenching case study comes from the UK’s liver allocation algorithm, which appears to discriminate by age, with some younger patients seemingly unable to receive a transplant, no matter how ill. What went wrong here? Can it be fixed? Or should health systems avoid using algorithms for liver transplant matching? The UK

Key insights on analytical AI for streamlined enterprise operations

Artificial intelligence has become a core element of business strategy across industries. As AI evolves, experts highlight the powerful synergy between high-profile generative AI and established analytical AI, driving industry transformation and boosting operational efficiency. But how do these AI technologies complement each other, and what industries stand to gain the most from their advancement? “I think [analytical AI] is at least as important as generative AI, despite all the publicity about generative AI,” said Tom Davenport (pictured), distinguished professor at Babson College. “In many cases, I think it’s a bit more likely to make money for organizations, because you use

Europe between DeepSeek and Trump

DeepSeek’s recent breakthrough has sent shockwaves around the world. Does a more volatile AI market mean Europe now has a fleeting chance to compete? For more, click here The post Europe between DeepSeek and Trump appeared first on AI Now Institute. Source link

How Yelp reviewed competing LLMs for correctness, relevance and tone to develop its user-friendly AI assistant

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The review app Yelp has provided helpful information to diners and other consumers for decades. It had experimented with machine learning since its early years. During the recent explosion in AI technology, it was still encountering stumbling blocks as it worked to employ modern large language models to power some features.  Yelp realized that customers, especially those who only occasionally used the app, had trouble connecting with its AI features, such as its AI-powered assistant.  “One of the obvious lessons that

Alibaba Qwen QwQ-32B: Scaled reinforcement learning showcase

The Qwen team at Alibaba has unveiled QwQ-32B, a 32 billion parameter AI model that demonstrates performance rivalling the much larger DeepSeek-R1. This breakthrough highlights the potential of scaling Reinforcement Learning (RL) on robust foundation models. The Qwen team have successfully integrated agent capabilities into the reasoning model, enabling it to think critically, utilise tools, and adapt its reasoning based on environmental feedback. “Scaling RL has the potential to enhance model performance beyond conventional pretraining and post-training methods,” the team stated. “Recent studies have demonstrated that RL can significantly improve the reasoning capabilities of models.” QwQ-32B achieves performance comparable to

LIMO: Less is More for Reasoning

For years, researchers have trained AI systems by hooking them up to massive datasets. The approach works, but it can be expensive and unwieldy. The top paper on AIModels.fyi this week (LIMO: Less Is More for Reasoning) shows a different path. It demonstrates that when two key conditions are met – rich pre-trained knowledge and sufficient computational space for reasoning – a model can achieve exceptional mathematical reasoning with minimal but precisely chosen training examples. Figure 1: “LIMO achieves substantial improvement over NuminaMath with fewer samples while excelling across diverse mathematical and multi-discipline benchmarks.” Source link

Need Transcripts in 99 Languages? Meet ElevenLabs’ Scribe

ElevenLabs has rolled out “Scribe,” a new tool that can turn spoken words into text in 99 different languages, even when the audio isn’t perfect. Scribe stands out with features like precise timestamps, identifying who is speaking, and tagging important sounds. It’s perfect for anyone needing accurate transcripts. Developers can easily use Scribe through an API, while regular users can upload audio or video files directly on the ElevenLabs site to get organized transcripts without hassle. Fewer mistakes and clearer text for everyone Image: ElevenLabs Scribe has been tested against big competitors like Whisper Large V3 and Deepgram Nova-3, and