This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.

The method conceptualises neural models as collections of interconnected optimisation problems functioning across multiple levels.

The United States economy relies heavily on the financial services industry, which has historically shaped marketplaces, ...

ARC Raiders is the latest extraction shooter, and not only is it going up against Battlefield 6 and Call of Duty: Black Ops 7 for your holiday gaming time, but it even has the audacity to be a premium ...

Historically, people have used stopwatches, cameras or trained eyes to assess walking and its deficits. However, recent technological advances such as motion capture, wearable sensors and data science ...

For re/insurers, AI governance should be considered a cyber control, not a separate compliance initiative, writes Matthew ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

A vast study suggests that being multilingual can slow down cognitive ageing. Speaking multiple languages could slow down ...

IBM fired 8,000 employees to make way for AI—then did something no one expected. What looked like a cost-cutting move sparked ...

Givaudan has a strong competitive moat, solid profitability, and a healthy balance sheet. It also finally appears reasonably ...

The study of bone health and disease has traditionally relied on standard imaging approaches such as dual-energy X-ray absorptiometry (DXA) to evaluate bone ...

New research sets out to calculate how recent losses in student achievement will impede future growth for the country.