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Hugging Face has added Groq to its AI model inference providers, bringing lightning-fast processing to the popular model hub. Speed and efficiency have become increasingly crucial in AI development, with many organisations struggling to balance model performance against rising computational costs. Rather than using traditional GPUs, Groq has designed chips purpose-built for language models. The […]

Meta’s $14.8 billion investment in Scale AI – and the hiring of the startup’s CEO – is drawing attention to how US regulators will handle acquihire-style deals under the Trump administration. The deal gives Meta a 49% nonvoting stake in Scale AI, which hires gig workers to label training data for AI systems. Scale’s clients

Ericsson’s Cognitive Network Solutions has joined forces with AWS to develop AI technologies for self-healing mobile networks. Behind every text message and video call lies a complex system that telecom companies spend billions maintaining. This partnership between Ericsson and AWS aims to make those networks not just smarter, but virtually self-sufficient. Jean-Christophe Laneri, VP and

For decades, companies of all sizes have recognized that the data available to them holds significant value, for improving user and customer experiences and for developing strategic plans based on empirical evidence. As AI becomes increasingly accessible and practical for real-world business applications, the potential value of available data has grown exponentially. Successfully adopting AI

Back when most business applications were monolithic, ensuring their resilience was by no means easy. But given the way apps run in 2025 and what’s expected of them, maintaining monolithic apps was arguably simpler. Back then, IT staff had a finite set of criteria on which to improve an application’s resilience, and the rate of change

Germany and NVIDIA are building possibly the most ambitious European tech project of the decade: the continent’s first industrial AI cloud. NVIDIA has been on a European tour over the past month with CEO Jensen Huang charming audiences at London Tech Week before dazzling the crowds at Paris’s VivaTech. But it was his meeting with

Modern healthcare innovations span AI, devices, software, images, and regulatory frameworks, all requiring stringent coordination. Generative AI arguably has the strongest transformative potential in healthcare technology programmes, with it already being applied across various domains, such as R&D, commercial operations, and supply chain management. Traditional models for medical appointments, like face-to-face appointments, and paper-based processes

Enterprise artificial intelligence investment is unprecedented, with IDC projecting global spending on AI and GenAI to double to $631 billion by 2028. Yet beneath the impressive budget allocations and boardroom enthusiasm lies a troubling reality: most organisations struggle to translate their AI ambitions into operational success. The sobering statistics behind AI’s promise ModelOp’s 2025 AI

Teachers in England have been given the all-clear to use AI to help them in low-level tasks that are part of their duties, the BBC reports. Guidance from the Department for Education (DfE) says AI can be used by school teachers in England, but it should only be for ‘low stakes’ tasks, such as writing

MarketsandMarkets values the global artificial intelligence market at $371.71 billion and expects it to exceed $2407.02 billion in value by 2032. The statistic clearly demonstrates how AI technology can affect many sectors, including cryptocurrency. The Business Research Company reports the generative AI market in the cryptocurrency space alone is expected to grow in value from