Irish teachers keep asking which AI chatbot to use for lesson planning, marking and differentiation, and the honest answer in November 2026 is that it depends on which account your school already pays for. Four assistants matter right now: ChatGPT on GPT-6, Claude on its 5.5 model family, Gemini on Gemini 4 Argon, and Microsoft

Published on November 5, 2026 by Lambda Lambda has a new address: lambda.com Your path to superintelligence stays the same. Published on November 4, 2026 by Lambda Introducing identity and access management for Lambda Cloud Role-based access control for your GPU cloud: roles, groups, and service identities are now in the Lambda Cloud console. Published

Researchers at the University of Sydney have identified a fundamental mathematical reason why artificial intelligence systems can learn different behaviours even when trained under almost identical conditions, a discovery that could help improve the reliability and trustworthiness of AI technologies. The study by Professor Pulin Gong from the School of Physics and his PhD student

Kimi K3.1 Pro: 2.8T Open Weights, 1M Context [2026] The Shattered Newsletter: the week's biggest stories in tech, gaming and security. ×

November 05, 2026 Image Credit: SDC To support high-performance and intelligent operations in demanding corporate and data-intensive environments, modern AI applications must be equipped with features like advanced processing capabilities, the ability to manage artificial intelligence workloads, and data analytics. The combination of these features, and more, creates a versatile solution for performance-focused computing environments.

Researchers have demonstrated a scalable physical deep learning framework validated on an optoelectronic platform that reduces computational resource requirements by approximately 40% when integrated into modern architectures. Compared with conventional deep neural networks, the approach achieves comparable performance while substantially lowering computational costs and the number of trainable parameters, addressing escalating energy demands in high-performance

Abstract Accurate skin lesion classification often requires integration of lesion appearance with patient clinical information. Although multimodal artificial intelligence (AI) approaches have shown promise, many existing methods rely on computationally intensive fusion mechanisms or simple integration strategies that may inadequately capture interactions between imaging and clinical data. This study aimed to develop and evaluate a

By studying how advanced generative AI models process tasks, a Rutgers expert on hidden biases found that most struggle to counter stereotypical assumptions   Large-language models (LLMs), the technology that powers tools like Gemini and ChatGPT, are more nuanced than ever. But that doesn’t mean they aren’t biased. Some models are more prejudiced than others