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Doesn’t time fly?! Just like that — it’s Spring! But don’t go thinking this good weather has made us lazy. We’ve been racing around the internet to find the most interesting news from the world of artificial intelligence. So let’s see what happened in March. This Algorithm Can Tell If A Pig Is Happy Or […]
The Algorithm Can Tell If A Pig Is Happy Or Sad Read More »
If you follow DLabs.AI on LinkedIn, you might have noticed we publish a series there called ‘InsideAI.’ As we want as many readers to enjoy it as possible, we’ve now decided to post it on our blog too. For the uninitiated: InsideAI is our monthly newsletter that captures the most interesting, surprising, and important news
Is Facial Recognition Making the Innocent Look Guilty? Read More »
Thomson Reuters and Imperial College London have established a frontier AI research lab to overcome historic deployment challenges. Speed and scale have defined the current AI boom. But for enterprises, the primary obstacles to deployment are different: trust, accuracy, and lineage. Addressing these barriers, Thomson Reuters and Imperial College London have announced a five-year partnership
Frontier AI research lab tackles enterprise deployment challenges Read More »
North American enterprises are now actively deploying agentic AI systems intended to reason, adapt, and act with complete autonomy. Data from Digitate’s three-year global programme indicates that, while adoption is universal across the board, regional maturity paths are diverging. North American firms are scaling toward full autonomy, whereas their European counterparts are prioritising governance frameworks
Agentic AI autonomy grows in North American enterprises Read More »
The latest MCP spec update fortifies enterprise infrastructure with tighter security, moving AI agents from pilot to production. Marking its first year, the Anthropic-created open-source project released a revised spec this week aimed at the operational headaches keeping generative AI agents stuck in pilot mode. Backed by Amazon Web Services (AWS), Microsoft, and Google Cloud,
How the MCP spec update boosts security as infrastructure scales Read More »
The ability to execute adversarial learning for real-time AI security offers a decisive advantage over static defence mechanisms. The emergence of AI-driven attacks – utilising reinforcement learning (RL) and Large Language Model (LLM) capabilities – has created a class of “vibe hacking” and adaptive threats that mutate faster than human teams can respond. This represents
Adversarial learning breakthrough enables real-time AI security Read More »
