At the 2025 GPU Technology Conference (GTC), Nvidia outlined its plans for developing the next generation of data centre GPUs. The AI architecture, named Vera Rubin, is expected to debut in the second half of 2026 and promises a significant performance boost compared to the current Blackwell chips. The Vera
Retrieval-Augmented Generation (RAG) represents a paradigm shift in natural language processing (NLP), integrating large language models (LLMs) with dynamic information retrieval systems to produce responses that are both contextually enriched and factually grounded (Lewis et al. 2020). At its core, the RAG architecture couples a conventional generative model—one that
On 20 March 2025, Anthropic announced that its artificial intelligence assistant, Claude, is now capable of internet browsing, significantly expanding the chatbot’s functionality and access to up-to-date information. With the new feature, Claude automatically searches for and processes relevant internet sources and then responds with direct links that allow
On 17 February 2025, Chinese company StepFun publicly released its open-source text-to-video generation model, Step-Video-T2V, featuring 30 billion parameters. Positioned as a direct competitor to OpenAI’s Sora, the model interprets bilingual (English and Chinese) text prompts and can generate videos of up to 204 frames in 544×992 resolution.
On 12th March 2025, Google unveiled its open-source artificial intelligence model family called Gemma 3, which utilises technology based on the Gemini 2.0 models and delivers exceptional performance whilst running on just a single GPU or TPU device. The model's outstanding capabilities include support for 140 languages,
On 19 March 2025, the European Commission announced antitrust proceedings against Google and Apple for violations of the Digital Markets Act (DMA). Meanwhile, US President Donald Trump is threatening the EU with tariffs in response to its tough stance against American tech giants. The Commission’s investigation found that Google
Most contemporary LLMs employ a decoder‑only transformer architecture, which processes sequences in parallel via self‑attention. However, scaling dense transformers linearly in size increases computation and cost. Mixture‑of‑experts (MoE) approaches address this by activating only a subset of parameters per token. In the Switch Transformer, MoE routing
The Artificial Intelligence Risk Management Framework (AI RMF) issued by the National Institute of Standards and Technology (NIST) on 26th January 2023 is gaining increasing significance in regulating GenAI. The framework is built on four primary functions—governance, mapping, measurement, and management—which assist organisations in developing and evaluating trustworthy
In January 2025, Perplexity announced the integration of the DeepSeek R1 model into its platform, potentially bringing revolutionary change to AI-based searches. The Chinese-developed model, which runs exclusively on American and European servers, is not only more cost-effective than its competitors but also outperforms them in terms of performance whilst
In February 2025, the OECD released its report titled "Towards a Common Reporting Framework for AI Incidents", which proposes a unified international system for reporting and monitoring artificial intelligence-related events. This initiative responds to growing risks such as discrimination, data protection violations, and security issues. The report defines
Small Language Models (SLMs) are compact neural networks designed to perform natural language processing (NLP) tasks with significantly fewer parameters and lower computational requirements than their larger counterparts. SLMs aim to deliver robust performance in resource-constrained environments, such as mobile devices or edge computing systems, where efficiency is paramount. The
Researchers at Stanford University unveiled POPPER on 20th February 2025, an automated AI framework that revolutionises hypothesis validation and accelerates scientific discoveries tenfold. Following Karl Popper's principle of falsifiability, POPPER (Automated Hypothesis Validation with Agentic Sequential Falsifications) employs two specialised AI agents: the experiment design agent and the
