Samsung Partners with Challenger, Geniebook and TeachingTutor.ai to Advance Edtech …

Introduction The rapid increase of Internet of Things (IoT) devices and transportable technology in recent years has led to an exponential increase in application data generation1. According to a Cisco report2, around 2.32 zeta bytes of data are produced daily at the network edge of 2023. This enormous volume of edge data has driven the

Quantum computing, despite its potential to outperform classical systems in certain tasks, faces a significant challenge: error correction. Quantum systems are highly sensitive to noise, and even the smallest environmental disturbance can lead to computation errors, affecting the expected outcomes. Unlike classical systems, which can use redundancy through multiple bits to handle errors, quantum error

The Internet of Things (IoT) has become a cornerstone of modern technology, connecting devices, people, and systems in ways we never imagined. Yet, the vast amount of data generated by IoT devices demands sophisticated tools to process, analyze, and act on this information. In this article, we delve into nine groundbreaking AI tools that are