The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...

After decades of teaching and research at leading global institutions such as Harvard University and the Massachusetts ...

Road networks are critical public assets that must be monitored, modeled, and maintained with rigor and efficiency. As agencies face heavier traffic, ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

The multibillion-dollar deal shows how the growing importance of inference is changing the way AI data centers are designed ...

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...

In recent years, the big money has flowed toward LLMs and training; but this year, the emphasis is shifting toward AI ...

Arista has outmaneuvered competitors while focused on high-performance data center and cloud networks. But as it eyes a ...

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...

Computational biology and bioinformatics is an interdisciplinary field that develops and applies computational methods to analyse large collections of biological data, such as genetic sequences, cell ...