Scientists point out that a coherent approach to understanding the threats posed by artificial intelligence is still elusive. They call for a complex systems perspective to better assess and mitigate ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...

An ever-increasing number of information systems are becoming indispensable in nearly all aspects of health care delivery, from electronic health records (EHRs) and radiology image viewers to ...

Organizations in fields that require precise explanations often face challenges around message consistency. As policies, systems, and expectations evolve, different staff members may present the ...

Manish Sonthalia leverages Microsoft Dynamics 365 and Azure to automate complex business processes, reducing manual workloads ...

Embracing the paradigm shift of agentic AI could lead to massive advancements in healthcare as we know it. Provided byOwkin The complexity of biology has long been a double-edged sword for scientific ...

In today’s rapidly evolving technological landscape, the notion of Artificial Intelligence (AI) is no longer a futuristic concept it’s a stark reality. Yet, while AI systems have made significant ...