Machine Learning has just started to be applied to the Legal Domain. ROSS Intelligence makes it possible for legal professionals to work faster and more effectively. Advanced Recommender Systems have not been previously applied in the Legal Domain. Yet state of the art models such as ones using Deep Collaborative Filtering have proven to be […]

Heart disease is the main reason of death worldwide. One way to understand better and detect heart diseases without need for biopsy via surgery is by using medical imaging such as magnetic resonance imaging (MRI). Cardiac magnetic resonance is a specific kind of MRI which allows great visualization of inner parts of the heart and […]

The project is about developing a decision support tool to provide a personalized handling and treatment for Autistic Syndrome Disorder patients. This decision support tool will integrate machine learning modeling that will be used to suggest optimal and personalized guidelines for a very large spectrum of ASD patients, not available so far. Theses guidelines will […]

This multidisciplinary project will investigate the social, data, and technical issues surrounding design and implementation of a blockchain-based solution for the management of consent for the use of individuals’ “omics” data in medical research. Blockchains are distributed ledgers in which confirmed and validated blocks are organized in an append-only chain using cryptographic links. This project […]

ROSS enables legal professionals by providing tools that harnesses the power of artificial intelligence to make the research process more efficient. Advances within machine learning and natural language computing enable systems to achieve close to human performance. Many state-of-the-art methods have not been applied to the legal domain, leaving opportunity to enable development for the […]

Modern robots depend on numerous hardware devices and human interaction in order to perform their task. These dependencies, in addition to the distributed nature of these systems, make automated full-system testing difficult. Current testing practices are insufficient as they only test a single component of the system or require costly manual labor. Many companies have […]

Nuera has been acquiring customers and data for the past 3 years and is launching an internal initiative to mine the data to find insurance claims trends. The objective of this initiative will consist of analysis and reporting on our data sets to find trends that lead to claims frequency and severity, in an effort […]

My main field of interest is environmental behavior, which deals with interrelations between physical environments and human behaviors regarding urban- and architectural safety planning. I am currently planning to conduct an experimental research on public safety issues (fire/escape, terror/crimes) in urban- and architectural environments utilizing Virtual Reality technologies, and although I have recently acquired fundamental […]

The aim of the project is to contribute to reshaping conceptual design by incorporating state-of-the-art design theories and model-based systems engineering. Concept design is the first phase of the design process, the time needed to make basic decisions that set the specifications for a proposed artifact and begin to determine its ultimate shape. To better […]

Quantum mechanics explains the behavior of particles in sub-atomic levels. A feature of quantum mechanics is that measurable properties of physical systems occur in complementary pairs : one can ‘know’ the value of only one of the paired properties at any point in time. For example, measuring the position observable changes the value of the […]

As in the classical case, quantum computers are modeled by circuits: that is, basic components connected by wires. Circuit models of computation are used for optimization, minimizing the cost of implementing quantum computers. There are various circuit models for quantum computing with different features. Models of quantum computation generally do not allow for information to […]

Manual contract analysis and management is a laborious task. dTrax is Deloitte’s managed solution to this problem—it uses machine learning to automate the arduous contract management process and help users gain further insight from contracts. Specifically, dTrax will be used to standardize the intake of legal contracts, generate and edit contracts within a web interface, […]