Artificial intelligence (AI) is a scientific field and a technology that is supported by multiple techniques--such as machine learning, reasoning, knowledge representation, and optimization--and has applications in almost every aspect of everyday life. We use some form of AI when we swipe a credit card, search the Web, take a picture with our cameras, give vocal commands to our phone or other device, and interact with many apps and social media platforms. Companies of every size and business model, all over the world, are adopting AI solutions to optimize their operations, create new services and work modalities, and help their professionals to make more informed and better decisions. There is no doubt that AI is a powerful technology that has already imprinted itself positively on our ways of living and will continue to do so for years to come. At the same time, the transformations it brings to our personal and professional lives are often significant, fast, and not always transparent or easily foreseen. This raises questions and concerns about the impact of AI on our society. AI systems must be designed to be aware of, and to follow, important human values so that the technology can help us make better, wiser decisions. AI often needs a lot of data, so questions about data privacy, storage, sharing, and governance are central for this technology. Some regions of the world, such as Europe, have specific regulations to state fundamental rights for the data subject--the human releasing personal data to an AI system that can then use it to make decisions affecting that person's life.15

NEURODATA is a global technology company dedicated to creating and scaling AI solutions by leveraging deep expertise and a common machine learning platform. Through meaningful engagement and collaboration, we partner with companies to build and operationalize impactful end-to-end AI solutions across a wide variety of industries and use cases. Our experience in computer vision, NLP, and recommendation engines in real world scenarios enables us to deliver solutions that integrate seamlessly with customer processes to solve the most complex business challenges. Our team consists of expert data scientists, software engineers, and AI business leaders in Tunisia and Montreal, Canada. As the Center of Excellence for AI embedded, we place the highest priority on the ethical adoption, development, and delivery of AI technologies and solutions, with the goal of better business outcomes that usher in a more resilient and inclusive world.

Randal Burns recalls that the brain-science community was "abuzz" in 2011. Burns, a computer scientist at Johns Hopkins University in Baltimore, Maryland, was focusing on astrophysics and fluid dynamics data management at the time. But he was intrigued when Joshua Vogelstein, a neuroscientist and colleague at Johns Hopkins, told him that the first large-scale neural-connectivity data sets had just been collected and asked for his help to present them online. "It was the first time that you had data of that quality, at that resolution and scale, where you had the sense that you could build a neural map of an interesting portion of the brain," says Burns. Vogelstein worked with Burns to build a system that would make those data -- 20 trillion voxels' worth -- available to the larger neuroscience community. The team has now generalized the software to support different classes of imaging data and describes the system this week (J.