Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
By engineering a system replicating the womb lining with high biological accuracy, researchers at the Babraham Institute and ...
As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.
Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...
The more important question for the decade ahead is whether AI will merely concentrate power or serve to strengthen public institutions and expand human agency. That answer is unfolding now in ...
Innovation fails when every pilot starts from scratch; the chassis approach shows how to move fast with vendors while keeping ...
What it takes to operationalize entities and schema across large organizations, without breaking governance or increasing ...
CMS compliance deadlines and heightened cybersecurity expectations are accelerating payer interoperability and utilization management modernization while shifting vendor selection toward platforms ...
Abstract: This work aims at presenting a new sampled-data model-free adaptive control (SDMFAC) for continuous-time systems with the explicit use of sampling period and past input and output (I/O) data ...
The company called GPT-5.2 "the most capable model series yet for professional knowledge work" in the announcement on Thursday. Citing its own recent study of AI use at work, the company noted that AI ...
Abstract: Wireless power transfer (WPT)systems have received more and more attention in undersea applications in recent years. The seawater between the transmitter and the receiver is a ...
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