The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

As AI workloads move from centralized cloud infrastructure to distributed edge devices, design priorities have fundamentally ...

LCGC International salutes Jack Henion and Bob W.J. Pirok, winners of the 19th annual LCGC Lifetime Achievement and Emerging ...

Researchers have published the recipe for an artificial-intelligence model that reviews the scientific literature better than ...

AI in pharma has the potential to overhaul drug discovery, clinical trials, manufacturing, and marketing by analysing vast datasets to speed up processes, reduce costs, and enable personalised ...

Accounting Today's own Year Ahead survey found that a significant proportion of firms are still experiencing staffing issues: for large firms, recruiting and retaining good employees was the No. 1 ...

How do you translate ancient Palmyrene script from a Roman tombstone? How many paired tendons are supported by a specific ...

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial ...

Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...