Moonshot AI’s Kimi K3 open-weight mannequin has been learn virtually completely by way of its parameter depend because it launchedon July 16. At 2.8 trillion parameters, it is the biggest open-weight mannequin launched to this point. Model sizes are normally grouped into tough brackets, and a pair of.8 trillion rounds into what the trade calls the…
The assumption that the US holds a sturdy lead in AI mannequin efficiency shouldn’t be well-supported by the information, and that’s simply one of many uncomfortable findings in Stanford University’s 2026 AI Index Report, revealed this week. The report, produced by Stanford’s Institute for Human-Centred Artificial Intelligence, is a 423-page annual evaluation of the place…
As a large provider of technology services operating in multiple industries, Infosys is one of the names that quickly come to mind when decision-makers consider possible providers of consultation on and practical implementation of any AI project – discrete or organisation-wide. Infosys delivers these services through its Topaz Fabric, leveraging its partnerships with specific AI…
Separating logic from inference improves AI agent scalability by decoupling core workflows from execution strategies. The transition from generative AI prototypes to production-grade agents introduces a specific engineering hurdle: reliability. LLMs are stochastic by nature. A prompt that works once may fail on the second attempt. To mitigate this, development teams often wrap core business…
In a recent blog output, Rackspace refers to the bottlenecks familiar to many readers: messy data, unclear ownership, governance gaps, and the cost of running models once they become part of production. The company frames them through the lens of service delivery, security operations, and cloud modernisation, which tells you where it is putting its…
The artificial intelligence industry’s pivot toward agentic AI – systems capable of autonomously executing multi-step tasks – has dominated technology discussions in recent months. But while Western firms focus on foundational models and cross-platform interoperability, China’s technology giants are racing to dominate through commerce integration, a divergence that could reshape how enterprises deploy autonomous systems…
The ETSI EN 304 223 standard introduces baseline security requirements for AI that enterprises must integrate into governance frameworks. As organisations embed machine learning into their core operations, this European Standard (EN) establishes concrete provisions for securing AI models and systems. It stands as the first globally applicable European Standard for AI cybersecurity, having secured…
Meta’s US$2 billion acquisition of AI agent startup Manus has become every enterprise CTO’s cross-border compliance risk lesson. China’s Ministry of Commerce announced on January 9 that it would assess whether the deal violated export controls, technology transfer rules, and overseas investment regulations, despite Manus relocating from Beijing to Singapore in 2025. The investigation exposes…
Factories are producing more data than they can process, and companies like Bosch are using AI to close the gap. Cameras watch production lines, sensors track machines, and software records each step of processes. However, much of that information can’t create faster decisions or lead to fewer breakdowns. For large manufacturing firms, the missed opportunity…
Agentic AI represents a distinct evolution from stateless chatbots toward complex workflows, and scaling it requires new memory architecture. As foundation models scale toward trillions of parameters and context windows reach millions of tokens, the computational cost of remembering history is rising faster than the ability to process it. Organisations deploying these systems now face…