AI that writes and peer-reviews its own research papers
A new AI called Cajal can draft research papers and simulate peer review. This could speed up scientific discovery but raises questions about authenticity.
709 stories curated by AInformed · page 24 of 30
A new AI called Cajal can draft research papers and simulate peer review. This could speed up scientific discovery but raises questions about authenticity.
Researchers have trained an AI model to generate pseudorandom numbers, mimicking how computers create seemingly random sequences. This could lead to more secure systems and new ways to test randomness.
SimplePDF Copilot is a new AI tool that lets users fill PDF forms directly in the browser without uploading documents to the cloud. The tool integrates with any LLM and has already gained significant traction.
MLJAR Studio is a new desktop app that lets users analyze data via natural language, generating Python code and saving the session as a reusable notebook. The tool runs locally and supports cross-platform environments.
A leading journal reports a surge in AI-generated academic submissions, raising concerns about quality and integrity. The trend threatens to dilute research standards and overwhelm peer review systems.
Xiaomi's MiMo-V2.5-Pro model has secured the top spot among open-source models in the Text Arena rankings. This positions Xiaomi as the third leading AI lab globally, trailing only Anthropic and OpenAI.
Gemma 4 31B demonstrated superior efficiency and speed in a game development contest, completing the task in a fraction of the time compared to Qwen 3.6 27B. The results highlight significant performance differences between the two models.
A 200-person Chinese team released DeepSeek V4, surpassing models from larger labs. The model achieves state-of-the-art performance on key benchmarks, challenging the dominance of well-funded Western AI labs.
DeepMind has unveiled an AI co-clinician designed to assist healthcare professionals. This innovation promises to enhance diagnostic accuracy and streamline patient care.
Recent studies show AI models achieving higher accuracy in medical diagnoses than human doctors. This shift could revolutionize healthcare delivery and decision-making.
Researchers propose a novel approach to estimate the parameter count of black-box language models by analyzing their factual capacity. This method could revolutionize benchmarking and comparison of proprietary models.
Mozilla has publicly opposed Google's plan to introduce an LLM Prompt API in Chrome. The move raises concerns about privacy, centralization, and competition in AI web services.
China is aggressively investing in embodied AI to revolutionize its robotics industry. This strategy aims to position the country as a global leader in AI-driven automation by 2030.
Hyperscalers are investing heavily in AI infrastructure, with spending projected to hit $700 billion this year. This surge highlights the relentless pace of AI adoption across the tech industry.
A Harvard-led study found AI systems diagnosed emergency cases more accurately than human doctors. The results could revolutionize emergency room efficiency and patient outcomes.
A GitHub project demonstrates how large language models can assist in reconstructing partially decompiled code. The project focuses on Minecraft 26.1.2, showcasing AI's potential in reverse engineering.
GraphOS is an open-source tool that provides a visual interface for building, running, and debugging AI agents. It emphasizes local-first execution, making it easier to develop and troubleshoot AI workflows.
Cloudflare has integrated AI into its code review process, reducing review times and improving code quality. The system now handles 90% of pull requests automatically.
Google and the Pentagon have reportedly reached an agreement allowing the use of Google's AI tools for any lawful purpose. This marks a significant shift in Google's stance on military AI applications.
A recent study revealed five critical AI agent failures over a 36-day period, none of which were detected by the agents themselves. This highlights significant gaps in AI self-monitoring and security protocols.
Chinese AI firms like DeepSeek, Qwen, and Moonshot are gaining ground with affordable, high-quality models. This poses a significant threat to U.S. tech giants and startups alike.
A team of AI researchers discovered 38 critical vulnerabilities in OpenEMR, software used by 100,000 healthcare providers. The findings highlight the urgent need for better security in open-source medical systems.
Hoop introduces an open-source control layer to safely manage AI interactions with production systems. It aims to bridge the gap between AI development and real-world deployment.
A new AI usage analytics tool acts as a proxy to enforce budget limits and redact personally identifiable information before requests reach the provider. It offers real-time cost tracking and immediate suspension when thresholds are breached.