Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
At Adroie, researchers in artificial intelligence are harnessing the explosion of digital data and computational power with advanced algorithms to enable collaborative and natural interactions between people and machines that extend the human ability to sense, learn and understand. The research infuses computers, materials and systems with the ability to reason, communicate and perform with humanlike skill and agility.
Adroie’s deep investments in the field are advancing the state of the art in machine intelligence and perception, enabling computers that understand what they see, communicate in natural language, answer complex questions and interact with their environment. In addition, the company’s researchers are thought leaders on the ethics and societal impacts of intelligent technologies. The research, tools and services that result from this investment are woven into existing and new products and, at the same time, made open and accessible to the broader community in a bid to accelerate innovation, democratize AI and solve the world’s most pressing challenges.
Developing and improving algorithms that help computers learn from data to create more advanced, intelligent computer systems.
Linking language to the world through speech recognition, language modeling, language understanding, spoken language systems, and dialog systems.
Making computers and devices understand what they see to enable tasks ranging from autonomous driving to analysis of medical images.
Examining the societal and individual impacts on the spread of intelligent technologies to formulate best practices for their design.
Integrating intelligent technologies to create interactive tools such as chatbots that incorporate contextual data to augment and enrich human reasoning.
Weaving together advances in AI from disciplines such as computer vision and human language technologies to create end-to-end systems that learn from data and experience.
Developing formal methods to ensure the integrity of drones, assistive robotics and other intelligent technologies that interact with the physical world.
Harnessing research breakthroughs in artificial intelligence to design technologies that allow humans to interact with computers in novel, meaningful and productive ways.
Reasoning about future events to enable informed collaborations between humans and intelligent agents.