Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Machine learning (ML) is driving a paradigm shift in the prevention and treatment of complex diseases, particularly in cardiometabolic and oncologic care.

The platform organizes these outcomes into three operational subsystems: disease detection, maturity assessment, and quality ...

Sagar Malhotra left a flourishing banking career to follow his passion for food. He founded Chakh De Chole and created ...

Jasani's latest contribution, a predictive AI model tailored to VR app development, is being recognized for shifting how ...

AI inspection uses machine learning and high-resolution imaging to detect packaging defects—like seal leaks, mislabels, or ...

Though brain chips are all over TV and the news now with Neuralink, scientists like those at Caltech have been working on the ...

On Video Games Day 2025, Beebom's Gaming Team selects their favorite childhood games that made turned them into a gamer for ...

The advent of generative AI has led to such impressive advances that many companies are betting that the technology will one day learn to discern good from bad, if they feed it enough examples of each ...