From applying machine learning and AI to genomics to better understand cancer, to intelligent technologies providing decision support assistance for doctors, the healthcare sector is receiving a huge boost from the proliferation of AI and Machine learning technologies. The question is; how are these technologies being harnessed in new innovations that use patient and consumer data, and how do we overcome the privacy and technical challenges of accessing sensitive health data? Please join us for this exciting conference, exploring the opportunities and challenges of applying machine learning & AI to patient and consumer health data – including electronic medical records, images and scans and person generated health data. We will be hearing from SME and larger companies, clinicians, data owners and innovators their insights and success stories. This thought-provoking day will explore the benefits and challenges of accessing private medical records and sensitive health data, including the issue of access by private providers and public attitudes to data sharing.

What are the actual and potential applications of Machine Learning in Healthcare? Are you using Machine Learning and AI to the best of their capacities in your company? Is there anything else you should be doing? Do you have the right roadmap? During this master class you'll have the chance to learn, discuss and be inspired by Grant Allen, a Principal Data Architect in Google for 10 years, who will be visiting us from New York City.

We are excited to welcome back Creative AI: Applications of AI in Art, Music, Film, Design Meetup, who are running a session looking at artists and machine learning. This meetup will focus on the intersection between machine learning and artistic practice. Recent developments in deep learning have provided artists with new possibilities of using image, sound and text data for creative expression. The speakers will cover recent art projects in the field, discuss the potential of machine learning in art and suggest online resources for getting started yourself. Please join the Creative AI Meetup group to register for this event.

LONDON, UK, 3 January 2017 – Digital Catapult is proud to announce that it is the advocate UK partner involved in the IBM Watson AI XPRIZE, a $5m competition challenging teams to demonstrate how humans can collaborate with AI to tackle the world's grand challenges, such as poverty, health and sustainable energy. As part of its wider strategy to support market-led technology and innovation, Digital Catapult will support IBM Watson AI XPRIZE via its technical experts as resources and mentors for competing teams. Digital Catapult will also form a hub for UK teams by hosting events, meet-ups and take a lead in helping to showcase the best competitors to come out of the UK. XPRIZE offers competitors a rare chance to work on applications using AI, machine learning, predictive technologies, robotics and other advanced technologies to develop powerful cognitive applications. Teams have the freedom to define their own goals and have the unique opportunity to potentially attract investment and compete for the main prize in the final at TED 2020.

From Bhutan's gross national happiness index to new year's resolutions, we are all fascinated with ways to get happier, but is technology getting us any closer? In collaboration with the Royal Society – please join us on January 16th-17th for 28 hours of hacking happiness and explore how machine learning can be used to measure, understand, predict and increase happiness. In this multidisciplinary hackathon, we hope to attract professionals from different disciplines, including machine learning, data science, design and software engineering to come together and develop innovative solutions addressing happiness. We are especially interested in ideas that emphasise human-AI collaboration. We would be interested to see ideas that address ways in which new machine learning systems can work together with people in a broad variety of topics such as conversational assistants, interactive AI, active learning, human-agent collaboration, crowd-sourcing or citizen science.

We consider Virtual Assistants (VAs) to be artificial conversational entities capable of engaging in human-like conversation, designed to convincingly simulate how a human would behave as a conversational partner. VAs are typically software incorporating natural-language processing, dialogue control and domain knowledge. They adapt according to the content and context of the dialogue. They can exhibit goal direction (i.e. For the sake of this Pit Stop, we consider VAs to primarily engage through speech-to-text (e.g. as a gateway to a visual experience) and speech-to-speech methods.

From Bhutan's gross national happiness index to new year's resolutions, we are all fascinated with ways to get happier, but is technology getting us any closer? In collaboration with the Royal Society – please join us on January 16th-17th for 28 hours of hacking happiness and explore how machine learning can be used to measure, understand, predict and increase happiness. In this multidisciplinary hackathon, we hope to attract professionals from different disciplines, including machine learning, data science, design and software engineering to come together and develop innovative solutions addressing happiness. We are especially interested in ideas that emphasise human-AI collaboration. We would be interested to see ideas that address ways in which new machine learning systems can work together with people in a broad variety of topics such as conversational assistants, interactive AI, active learning, human-agent collaboration, crowd-sourcing or citizen science.

Following recent reports from the Government Office for Science and the House of Commons Select Committee, Digital Catapult comments on how access to data can open opportunities to the UK's AI entrepreneurs. Artificial Intelligence (AI) is at the centre of two recent government reports. Yesterday, the Government Office for Science published an overview of AI that focuses on several significant areas: the effect of AI on productivity and economic value, advantages to government, effects on the labour market, ethical challenges and public trust. Earlier in October the House of Commons Select Committee published their report on Robotics and Artificial Intelligence that recommends that the government is to invest in education and training infrastructures, ensure digital inclusion and governance mechanisms, and provide leadership for future growth in robotics and AI. When considering where the government can provide a significant boost to UK AI and machine learning entrepreneurs, Digital Catapult believes there is a major opportunity in access to data.

This event is part of a series designed to bring together artists, developers, designers, technologists and industry professionals to discuss the applications of artificial intelligence in the creative industries.

Please join us for an exciting day discussing the impact artificial intelligence will have on business and important key industries within the UK, including manufacturing, the financial sector and creative industries. From writing new Beatles-esque songs to making increasingly accurate medical diagnoses, few industries appear safe from the disruptive impact of rapidly developing Artificial Intelligence technology. In fact, a recent Australian study predicted that as many as 60% of students are pursuing careers that will be rendered obsolete by the time they graduate. With 80-100 people due to attend the AI conference, we will look at the wide reaching social and economic impact that deep learning and artificial intelligence is likely to have traditionally conservative'human to human' industries. There is little doubt that AI and deep learning represent a hugely positive opportunity for business, we will discuss these opportunities, what businesses need to do next and the economic transformation we may be facing in our lifetime.