DIGIMAN aims at contributing to successfully shaping workforce transformation by developing a post-graduation for the future T-shaped professionals with a combination of high-tech skills (cyber-physical systems and IoT, analytics and machine learning, robotics and Artificial Intelligence, lean 4.0) and general skills across multiple domains (creativity, innovation, entrepreneurship, etc.). DIGIMAN trains professionals that will contribute to a wider implementation of advanced manufacturing technologies with the provision of the right skills. DIGIMAN targets engineers and managers with professional experience and offers to upgrade their knowledge with new expertise on industry 4.0 and improve their qualifications. For more information visit our webpage or send us email to digiman.eitm@fe.up.pt DIGIMAN is organised in 2 semesters, with 5 courses in each semester, and will be delivered using the EIT Manufacturing Skills.move platform.

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Created video streaming and network acceleration algorithms that have found their way in screens both large and small. It was also the first patent I had granted with Samsung, it was an equally challenging and fulfilling development crunch. Developed a mixed-reality tool for connected classrooms. It was a project with Samsung's Advanced Solutions Lab where one day I'm prototyping hardware for its Tangible User Interface, and another day I'm coding pattern recognition. While Harvard Business Review's D.J. Patil and Thomas Davenport declared Data Scientist "The Sexiest Job of the 21st Century", I have been fortunate enough to personally have been in a position to lead companies in various industries which were going through their own big data and data science transformations.

Stroke is the second leading cause of death worldwide. According to the World Health Organization [1], 5 million people worldwide suffer a stroke every year. Of these, one third die and another third are left permanently disabled. In the United States, someone has a stroke every 40 seconds and every four minutes, someone dies [2]. The aftermath is devastating, with victims experiencing a wide range of disabling symptoms including sudden paralysis, speech loss or blindness due to blood flow interruption in the brain [3].

We are, without a doubt, living in the most pivotal time of human history. What defines it, moreover, is not what has occurred, but what is to come in the years ahead. The democratisation of different technologies and techniques that followed the boost in computing is what helps businesses. When we talk about computing, the first thing which comes to mind is using various operations. When a list of instructions and rules are followed by a programme to complete a task it is known as an algorithm.

Mphasis, an Information Technology solutions provider specializing in cloud and cognitive services, announced that it has been recognized as a Leader in'Migration and Container Solutions' and "Rising Star" in dual categories of Data Analytics and Machine Learning and Consulting Service Providers, for US and Germany regions by Information Service Group (ISG), a leading global technology research and advisory firm. According to ISG's AWS Ecosystems Partners 2020 Report, Mphasis was recognised for its Intelligent-Automated Migration approach with its specialized migrations suite – CMAS and its Stelligent brand, Intelligent Migration Factory. Mphasis was ranked high across all ISG's container and migration services assessment criteria. The approach of providing integrated and enhanced technology solutions resulted in Mphasis being acknowledged for the AWS Competencies in DevOps, financial services and security and validations. "We are honoured to be recognised by ISG and are proud that our efforts and services have been recognised across US and Germany, and this recognition will act as a stimulus for us to continue innovating and strengthening our product portfolio and technology solutions for our existing as well as the potential clients. Mphasis serves many marquee customers across the globe and our focus is to build an ecosystem to empower our clients to harness their potential and maximize their capabilities in a digitally advanced environment," said Srikumar Ramanathan, Senior Vice President, Head Portfolio Group, Mphasis.

… techniques, genomic and microbial data, and machine learning to improve the management of foodborne illness and better protect public health.

Speech is the way of communication between people. The speech recognition is a software invention which converts our spoken language into a machine-readable format. Nowadays speech recognition is useful for interaction between human and machines or mobile devices. So, it is very important. Speech recognition is mainly divided into two parts.

An organization's success in data analytics and machine learning depends on its ability to capture, prepare, and analyze data strategically and effectively. Our guide deconstructs the hype around AI to help you do just that. It also explains how cloud services can greatly simplify this journey -- wherever your company is on the path to data maturity.

As cyber threats continue to evolve, big data and machine learning are increasingly necessary for a strong cyber security strategy. Will Cappelli, vice president of research at Gartner, says that companies are combining big data and machine learning capabilities as part of a more powerful approach to cyber security. In terms of market size, Gartner estimates that in 2016 the world spent approximately $800 million on the application of big data and machine learning technologies to security use cases," he explains. The idea is to deploy a platform that aggregates and manages big data, and to combine this with a machine learning algorithm that analyzes this data to uncover hidden patterns and detect threats. As cyber security strategies evolve to protect against hackers, hackers are developing increasingly sophisticated strategies to bypass these protections.