AI & Robotics

The value of building data-driven businesses with AI at their core is well known today, and business executives are rushing to implement the technology into their operations and gain a competitive advantage, but it’s not as simple as creating a data lake and creating AI models. A large number of AI companies attempting to implement more AI models or build AI-first businesses have experienced…

Presented by Intel AI and privacy needn’t be mutually exclusive. After a decade in the labs, homomorphic encryption (HE) is emerging as a top way to help protect data privacy in machine learning (ML) and cloud computing. It’s a timely breakthrough: Data from ML is doubling yearly. At the same time, concern about related data privacy and security is growing among industry, professionals and…

Whether it’s language, music, speech, or video, sequential data isn’t easy for AI and machine learning models to comprehend — particularly when it depends on extensive surrounding context. For instance, if a person or an object disappears from view in a video only to reappear much later, many algorithms will forget how it looked. Researchers at Google set out to solve this with Transformer…

Phenom People, a human resources (HR) platform that leverages artificial intelligence (AI) to help companies attract new talent, has raised $30 million in a series C round of funding led by WestBridge Capital, with participation from eBay founder Pierre Omidyar’s VC firm Omidyar Ventures, AXA Venture Partners, Sierra Ventures, Sigma Prime Ventures, Karlani Capital, and a fund belonging to…