Software Development

New AI Assistant ‘Denario’ Aims to Accelerate Scientific Discovery Researchers have introduced Denario, an AI-powered scientific assistant designed to accelerate the research process. This multi-agent system can assist with numerous tasks, including generating new research ideas, reviewing existing literature, creating research plans, writing and executing code, producing plots, and drafting scientific papers. Developed by a team from the University of Cambridge, the Flatiron Institute, and the Autonomous University of Barcelona, Denario is a modular tool for scientists at various stages of their work. While it has demonstrated the ability to generate entire research papers across disciplines like astrophysics and biology, its creators emphasize that it is a tool to augment, not replace, human scientists. They note the current version has limitations, with only about one in ten outputs providing significant insights and instances of data fabrication, making human oversight essential. The project’s code is publicly available, with a demo version accessible online. ...

Keenon Robotics Deploys Humanoid Service Robot in World-First Smart Hotel Scenario Keenon Robotics has deployed its humanoid service robot, the XMAN-R1, at the Shangri-La Traders Hotel at Shanghai Hongqiao Airport. This deployment establishes what is being called the world’s first smart scenario model demonstrating collaborative operations between general-purpose and special-purpose robots. The XMAN-R1 will serve as a greeter, using natural language and anthropomorphic actions to interact with guests. Meanwhile, other specialized Keenon robots will handle tasks like in-room deliveries, luggage transport, cleaning, and food delivery. This initiative is part of Keenon’s broader strategy to integrate its embodied robot solutions into various industries, with over 100,000 units already deployed in more than 60 countries. ...

Ant Group Challenges OpenAI with Ling-1T, a Trillion-Parameter Open-Source AI Model Ant Group has announced the release of Ling-1T, a new trillion-parameter large language model, intensifying the global competition in artificial intelligence. This general-purpose model is engineered for complex reasoning and logic-based tasks, demonstrating strong performance in code generation, software development, and competition-level mathematics. According to Ant Group, Ling-1T has shown superior problem-solving skills compared to rivals from DeepSeek, Moonshot AI, and OpenAI. The company reported that Ling-1T achieved high scores on benchmark platforms such as LiveCodeBench and the American Invitational Mathematics Examination (AIME). On the AIME benchmark, the model reached an accuracy of 70.42%, a result comparable to Google’s Gemini-2.5-Pro. Ling-1T is the second trillion-parameter model from Ant Group and is part of the company’s Ling AI model family. The release of Ling-1T as an open-source model is a strategic move to promote transparency and collaboration in AI development. ...

Infineon Launches Advanced Power Protection for AI Data Centers Infineon Technologies AG has introduced a new line of power path protection solutions engineered for the increasing demands of AI data center infrastructures. The new products include a family of 48-volt smart eFuses and a reference board for hot-swap controllers for 400V and 800V power architectures. These components are designed to improve the reliability, scalability, and monitoring of energy flow in high-performance computing environments. The company stated that these solutions aim to maximize server uptime, reduce operational costs, and extend the lifespan of critical equipment in AI data centers. ...

Google Unveils CodeMender AI to Automatically Fix Software Vulnerabilities Google DeepMind has introduced CodeMender, a groundbreaking AI agent designed to automatically detect, patch, and rewrite vulnerable code to thwart security exploits. This powerful cybersecurity tool operates both reactively, addressing new threats as they emerge, and proactively, hardening existing codebases to eradicate entire classes of vulnerabilities. Powered by Google’s advanced Gemini AI models, CodeMender can debug, identify, and resolve security flaws by targeting their root cause and validating patches to prevent regressions. Alongside this launch, Google has initiated an AI Vulnerability Reward Program to incentivize the discovery of AI-related issues in its products, reinforcing its commitment to AI-driven security. ...

MIT Unveils TX-GAIN, The Most Powerful University AI Supercomputer MIT’s Lincoln Laboratory has launched the TX-Generative AI Next (TX-GAIN) computing system, now the most powerful AI supercomputer at any U.S. university. Optimized for generative AI, TX-GAIN is set to drive innovation in critical research areas such as biodefense, materials discovery, and cybersecurity. With a peak performance of two AI exaflops, the supercomputer will support a wide range of research and development projects at Lincoln Laboratory and across the MIT campus. Researchers are already utilizing TX-GAIN to model complex protein interactions for biological defense, demonstrating its significant impact on scientific breakthroughs. The system is housed in an energy-efficient data center in Holyoke, Massachusetts. ...

AI Developments: MIT Research, Military AI, and Market Shifts This week in AI and Machine Learning, MIT introduced a new AI system designed to accelerate clinical research, while a U.S. Air Force experiment demonstrated AI’s superior speed in battle planning. In the financial sector, new machine learning frameworks are emerging for improved risk management. However, reports also highlight the growing threat of AI-powered cyberattacks and the significant impact of AI on the workforce, evidenced by major layoffs at Accenture. On the hardware front, Huawei is emphasizing the critical integration of 5G-A and AI for the next generation of mobile technology. ...

BRICS Urban Future Forum in Moscow Centers on AI and Robotics The third BRICS Urban Future Forum, held in Moscow on September 17-18, is focusing on the role of robotic technologies and artificial intelligence in urban transformation. The event brings together government officials, business leaders, and technology experts from over 35 countries to discuss strategies for the development of megacities through 2040. A key theme is the increasing importance of robotics, automation, and AI as primary drivers for changes in production and social systems within large urban environments. The forum serves as a platform for international collaboration on building the cities of the future. ...

MIT Report: 95% of Enterprise GenAI Projects Fail to Deliver ROI A new report from MIT’s NANDA initiative reveals that a staggering 95% of enterprise generative AI pilot programs are failing to produce a significant return on investment. Despite investments totaling between $35 and $40 billion in the US, only 5% of organizations have successfully deployed AI tools into production at scale. The report, titled “The GenAI Divide: State of AI in Business 2025,” is based on interviews with enterprise leaders, analysis of public AI initiatives, and a survey of business professionals. The primary reasons for failure are not a lack of infrastructure or talent, but rather the inability of AI systems to retain data, adapt, and learn over time. The study also found that purchasing AI tools from vendors and forming partnerships has a significantly higher success rate than in-house development. ...

Google Launches Gemma 3 270M: A Compact AI Model for Specialized Tasks Google has introduced Gemma 3 270M, a new and compact AI model featuring 270 million parameters. This model is engineered for efficient, task-specific fine-tuning and offers robust instruction-following capabilities directly out of the box. Its minimal footprint makes it ideal for on-device and research applications, enabling developers to build and deploy multiple custom models for tasks like text classification and data extraction without requiring significant computational overhead. Google is providing both pretrained and instruction-tuned versions of the model through platforms such as Hugging Face, Ollama, and Kaggle. ...