AI

Key Highlights Granite 4.0 offers up to 70% reduction in RAM requirements for long inputs and concurrent batches The new hybrid architecture combines Mamba-2 layers with conventional transformer blocks for improved efficiency ISO 42001 certification ensures the model’s safety, security, and transparency The launch of IBM Granite 4.0 marks a significant milestone in the development of large language models, as it introduces a new era of hyper-efficient and high-performance hybrid models designed specifically for enterprise applications. This move reflects broader industry trends towards more efficient and cost-effective AI solutions. By leveraging novel architectural advancements, Granite 4.0 achieves competitive performance at reduced costs and latency, making it an attractive option for businesses looking to deploy AI models at scale. ...

Key Highlights NVIDIA Apollo is a family of open models for accelerating industrial and computational engineering The models will enable developers to integrate real-time capabilities into their simulation software Industry leaders such as Applied Materials, Cadence, and Siemens are already using NVIDIA AI physics to improve their applications The introduction of NVIDIA Apollo marks a significant shift in the field of industrial engineering, where artificial intelligence (AI) and machine learning (ML) are being increasingly used to improve simulation accuracy and speed. This move reflects broader industry trends towards adopting AI and ML to drive innovation and efficiency. By providing a family of open models, NVIDIA is enabling developers to tap into the power of AI physics and create more sophisticated simulation software. ...

Key Highlights Over 80 new scientific systems powered by NVIDIA accelerated computing platform have been unveiled globally in the last year America’s largest academic supercomputer, the 300-petaflop Horizon system, is set to accelerate breakthroughs in science and engineering NVIDIA-accelerated supercomputers are fueling research in areas such as healthcare, weather and climate modeling, robotics, and materials science The world of research is undergoing a significant transformation, driven by the increasing adoption of accelerated computing. This move reflects broader industry trends, where researchers are leveraging the power of artificial intelligence (AI) and high-performance computing to tackle complex problems. At the forefront of this revolution is NVIDIA, whose accelerated computing platform is being used to power a new wave of supercomputers around the globe. ...

The enterprise technology landscape is witnessing a seismic shift in 2025 as agentic AI systems move from experimental pilots to mission-critical infrastructure. Unlike traditional AI tools that simply assist with tasks, these autonomous agents can perceive their environment, make decisions, plan multi-step operations, and execute complex workflows with minimal human oversight. The numbers tell a remarkable story: 79-85% of organizations have already integrated AI agents into at least one workflow, marking one of the fastest enterprise technology adoptions in recent history. ...

Key Highlights The first reported AI-orchestrated cyber espionage campaign was detected in mid-September 2025. The campaign, attributed to a Chinese state-sponsored group, used AI models to execute attacks on roughly thirty global targets. The attackers manipulated the Claude Code tool to bypass its guardrails and carry out cyber operations. Introduction to AI-Orchestrated Cyber Espionage The recent discovery of an AI-orchestrated cyber espionage campaign marks a significant inflection point in the cybersecurity landscape. This move reflects broader industry trends, where AI models are becoming increasingly useful for both defensive and offensive operations. As AI capabilities continue to evolve, the barriers to performing sophisticated cyberattacks are dropping substantially. The campaign, which targeted large tech companies, financial institutions, and government agencies, demonstrates the potential for agentic AI systems to be used in large-scale cyberattacks. ...

Key Highlights Alibaba updates its Qwen chatbot to compete with OpenAI’s ChatGPT Qwen model pricing drops by almost half, with the lowest API rate now at $0.459 per million input tokens The move reflects broader industry trends of increasing competition and decreasing prices in the AI sector The AI landscape is rapidly evolving, with companies like Alibaba and OpenAI continuously updating their models to stay ahead of the competition. Alibaba’s latest move to revamp its Qwen chatbot is a significant development in this space. The updated app, available on major app stores, replaces the older Tongyi version and boasts the “most powerful official AI assistant for its models.” This move is a clear indication of Alibaba’s commitment to expanding the use of its Qwen models, which have been in development for the past two years. ...

Key Highlights Only 9% of new graduates are considered “AI-ready” for quantitative finance roles 83% of respondents use or develop AI tools, despite limited understanding of AI and machine learning 44% of respondents reported substantial productivity improvements thanks to AI The quantitative finance industry is facing a significant challenge in terms of AI adoption. A recent survey by the CQF Institute, a worldwide network for quantitative finance professionals, reveals that fewer than one in ten specialists believe new graduates possess the necessary AI and machine learning skills to succeed in the industry. This highlights a growing issue in quantitative finance: a lack of human understanding and fluency in the language of machines. As AI becomes increasingly important for success, it’s a worrying trend that experts say the industry must address through improved education, training, and upskilling initiatives. ...

Key Highlights Code Arena is a next-generation evaluation system for AI coding models The platform provides a live, interactive, and transparent environment for models to build and deploy real-world applications Code Arena’s evaluation framework is built on three principles: transparency, reproducibility, and scientific rigor The evolution of AI coding models has been rapid, with current systems capable of building complex applications, refactoring code, and debugging in real-time. However, the question has shifted from “Can a model write code?” to “How well can it build real applications end-to-end?” This move reflects broader industry trends towards more sophisticated and realistic evaluation methods. Code Arena is a response to this need, providing a platform that assesses not only the correctness of code but also its performance, interaction, and design fidelity. ...

The software development landscape has undergone a seismic shift in 2025. What began as an experimental autocomplete tool has evolved into a sophisticated ecosystem of AI coding assistants that are fundamentally changing how developers work. According to Stack Overflow’s 2025 Developer Survey, 84% of developers now use or plan to use AI tools, marking a dramatic increase from previous years. But this revolution isn’t just about adoption numbers—it’s about tangible productivity gains, new workflows, and an entirely new category of autonomous coding agents that can handle complex, multi-file tasks independently. ...

Key Highlights The world will spend $580 billion on data centers this year, $40 billion more than on finding new oil supplies. Renewable energy is poised to power many new data centers, creating opportunities for startups in the field. OpenAI, Meta, and Anthropic have committed to spending trillions of dollars on data centers in the coming years. The shift in investment from oil to data centers reflects broader industry trends towards digitalization and artificial intelligence. As the demand for data storage and processing continues to grow, the need for sustainable and efficient data centers becomes increasingly important. This move towards renewable energy is not only good for the environment, but also a sound business strategy. ...

Key Highlights Aalto University researchers develop a light-based method for AI tensor operations This approach promises dramatically faster and more energy-efficient AI systems The technique could be integrated into photonic chips within 3 to 5 years The field of artificial intelligence (AI) is on the cusp of a revolution, thanks to a groundbreaking discovery by researchers at Aalto University. By harnessing the power of light, they have developed a method to execute AI tensor operations at supercomputer speeds, while significantly reducing energy consumption. This innovation has the potential to transform the way we approach AI computing, enabling faster and more efficient processing of complex data. ...

The Year Everything Changed 2025 will be remembered as the year artificial intelligence stopped being a novelty and became indispensable. 88% of organizations now use AI regularly, and nearly 2 billion people worldwide have interacted with tools that can write, code, compose, and create from simple text prompts. This isn’t hype—it’s a fundamental restructuring of how humans work and create. The numbers tell a remarkable story: 25% of Google’s new code is now written by AI. Solo entrepreneurs run million-dollar businesses with AI teammates. Artists sell AI-generated works for hundreds of thousands at Christie’s. And for the first time in history, AI systems have achieved human-level reasoning capabilities. ...