In an industry historically defined by paper files, manual entries, and complex spreadsheets, cutting-edge technology ...

This article discusses legal issues surrounding the harms caused by artificial intelligence, and where liability may lie if a neural network is not functioning correctly in the real world.Artificial ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

Continuous analytics and automated monitoring are enabling insurers to respond faster to emerging performance shifts ...

An Iran-linked hacktivist group recently claimed to have hacked into the private emails of Kash Patel, director of the ...

Building the technology is one challenge, but understanding why it matters and how to apply it to construction is another.​ ...

Investor10 is a fintech company which leverages real-time market insights, advanced analytics, and independent investment ...

Abstract: This paper introduces a novel deep learning-based system for real-time American Sign Language (ASL) interpretation and translation into speech, aimed at improving communication for ...

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...

Real-world evidence (RWE) has become a crucial driver of the pharmaceutical and biotechnology industries in recent years. In fact, RWE is now included in 70 percent of new drug and biologic regulatory ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...