Articles for category: AI News

Can AI automate computational reproducibility?

Last month, Sakana AI released an “AI scientist”, which the company called “the first comprehensive system for fully automatic scientific discovery”. It was touted as being able to accelerate science without suffering from human limitations.  Unfortunately, the “AI Scientist” has many shortcomings. It has no checks for novelty, so generated papers could rehash earlier work. And Sakana did not perform any human review (let alone expert “peer” review) of the generated papers—so it is unclear if the papers are any good (apparently they are not). While these flaws are particularly flagrant in Sakana’s case, the lack of good evaluation affects

Google expands availability of Deep Research, an AI tool that wades deep into any topic

Google LLC said today it’s making its experimental artificial intelligence research tool, called Deep Research, available to Gemini Advanced users via the Google Workspace platform. A relatively new feature that was announced last year, it has the ability to explore complex topics and conduct intensive research about them, answering very specific questions the user might have. After scouring the internet and analyzing hundreds or even thousands of sources, it’ll present its findings in a comprehensive yet easy-to-read report, the company explains. The main advantage of Deep Research is that it can do in a matter of minutes what would take

Energy is AI’s barrier to entry. David Sacks knows it.

“I don’t think we can separate Trump’s policy of AI boosterism from his policy of energy dominance,” said Kate Brennan, associate director of the New York-based AI Now Institute, which studies the social implications of the coming AI boom. — Brennan of the AI Now Institute said that a fast-charging approach to artificial intelligence that does not consider the climate implications poses risks to the industry. “There’s not enough renewable energy right now, and we could see big tech companies abandon their climate commitments,” Brennan said. “We’re seeing fossil fuel plants stay online, which means the immediate and tangible harms

New technique helps LLMs rein in CoT lengths, optimizing reasoning without exploding compute costs

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Reasoning through chain-of-thought (CoT) — the process by which models break problems into manageable “thoughts” before deducting answers — has become an integral part of the latest generation of frontier large language models (LLMs). However, the inference costs of reasoning models can quickly stack up as models generate excess CoT tokens. In a new paper, researchers at Carnegie Mellon University propose an LLM training technique that gives developers more control over the length of the CoT. Called length controlled policy optimization

ServiceNow deploys AI agents to boost enterprise workflows

ServiceNow has launched its Yokohama platform which introduces AI agents across various sectors to boost workflows and maximise end-to-end business impact. The Yokohama platform release features teams of preconfigured AI agents designed to deliver immediate productivity gains. These agents operate on a single, unified platform, ensuring seamless integration and coordination across different business functions. The platform also includes capabilities to build, onboard, and manage the entire AI agent lifecycle, making it easier for enterprises to adopt and scale AI solutions. Data is the lifeblood of AI, and ServiceNow recognises this by expanding its Knowledge Graph with advancements to its Common

Basically, a lot of DeepSeek R1

Hey there,The AImodels.fyi dashboard is up to date with this week’s top trending AI models. Check them out here or read on. Remember: We read everything on arXiv, HuggingFace, and Replicate and send you short, clear summaries on the topics you follow. You can set your own custom alerts when you start your free trial. Read more Source link

Dr. Max Li on How OORT Is Changing AI with Decentralization

Just a heads up, if you buy something through our links, we may get a small share of the sale. It’s one of the ways we keep the lights on here. Click here for more. In an exclusive interview with KnowTechie, OORT founder and Columbia University professor Dr. Max Li pulls back the curtain on one of Web3’s most intriguing projects: a decentralized cloud platform for AI applications. While tech giants like OpenAI and Google dominate headlines with their centralized AI models, OORT is quietly building something different. Their vision? A future where AI development is transparent, privacy-focused, and truly

Accelerate IT maturity in 2025 with AI

Date: Tuesday, April 29, 2025 – 6AM PST / 9AM EST / 2PM CEST | Location: Online Discuss challenges with the ITSM landscape, real steps to get started with AI-powered solutions, and how it helps with transforming IT. We invite you to join an exclusive, interactive virtual roundtable with industry peers, thought leaders, and our partners Freshworks. This is a by-invitation-only event designed for senior IT leaders (minimum Director level) keen on leveraging AI to transform their IT landscape. Reserve your spot and be a part of the conversation. A 2024 global survey by Harvard Business Review Analytic Services reveals