machine learning

According to IDG’s 2020 Cloud Computing Study, 92% of organizations have at least some sort of cloud footprint in regard to their IT environment. Therefore, traditional cloud …

Scientists at Cambridge Quantum Computing (CQC) have developed methods and demonstrated that quantum machines can learn to infer hidden information from very general …

Machine learning systems are becoming pervasive not only in technologies affecting our day-to-day lives, but also in those observing them, including face expression …

Wading through waves of alert noise to find real threats and manually connecting the dots to find context in real-time attacks are essential capabilities in today’s …

By removing the most common cause of traffic accidents – the human driver – autonomous vehicles are expected to reduce traffic accidents and fatalities. However, they may pose …

Email data breaches are on the rise. Our recent research found that 93% of organizations have experienced an email data breach in the last 12 months, at an average rate of one …

Social media is increasingly used to spread fake news. The same problem can be found on the capital market – criminals spread fake news about companies in order to …

Application development and maintenance services in the U.S. are evolving to meet changing demands from enterprises that need dynamic applications with rich user interfaces, …

Organizations are spending more to account for widespread security operation center (SOC) challenges including growing security management complexity, increasing analyst …

The use of machine learning (ML) technology is booming. This development is being driven by the many immediate gains that can be achieved using machine learning models in …

The cloud ITSM market size is expected to grow from $4.7 billion in 2020 to $12.2 billion by 2025, at a CAGR of 21.2% during the forecast period, according to …

Rice University researchers have discovered a more efficient way for social media companies to keep misinformation from spreading online using probabilistic filters trained …