AI Inference at Scale: Exploring NVIDIA Dynamo’s High-Performance Architecture

As Artificial Intelligence (AI) technology advances, the need for efficient and scalable inference solutions has grown rapidly. Soon, AI inference is expected to become more important than training as companies focus on quickly running models to make real-time predictions. This transformation emphasizes the need for a…

Reigniting the European digital economy’s €200bn AI ambitions

There is a sense of urgency in Europe to re-imagine the status quo and reshape technology infrastructures. Timed to harness Europe’s innovative push comes GITEX EUROPE x Ai Everything (21-23 May, Messe Berlin). The world’s third largest economy and host nation for GITEX EUROPE x Ai…

AI and the Future of Translation: A New Era of Human-AI Collaboration

Artificial intelligence is transforming industries at an unprecedented pace, and the world of translation is no exception. As AI-driven language models grow more sophisticated, one question continues to surface: Will AI replace human translators? At RWS, we believe the answer is clear—AI will never replace human…

Arsham Ghahramani, PhD, Co-founder and CEO of Ribbon – Interview Series

Arsham Ghahramani, PhD, is the co-founder and CEO of Ribbon. Based in Toronto and originally from the UK, Ghahramani has a background in both artificial intelligence and biology. His professional experience spans a range of domains, including high-frequency trading, recruitment, and biomedical research. Ghahramani began working…

AI memory demand propels SK Hynix to historic DRAM market leadership

AI memory demand has catapulted SK Hynix to a top position in the global DRAM market, overtaking longtime leader Samsung for the first time. According to Counterpoint Research data, SK Hynix captured 36% of the DRAM market in Q1 2025, compared to Samsung’s 34% share. HBM…

The ‘Download More Labels!’ Illusion in AI Research

A common view in current machine learning research is that machine learning itself can be used to improve the quality of AI dataset annotations – particularly image captions intended for use in vision-language models (VLMs). This line of thinking is driven by the high cost of…

China’s MCP adoption: AI assistants that actually do things

China’s tech companies will drive adoption of the MCP (Model Context Protocol) standard that transforms AI assistants from simple chatbots into powerful digital helpers. MCP works like a universal connector that lets AI assistants interact directly with favourite apps and services – enabling them to make…