An introduction to the information dimension

Boyd’s theory on emergent information present a new angle on one of the most pressing questions facing AI.

The difficulty of defining the true nature of information has sparked a rich, seemingly unending variety of questions over the past centuries; from the nature of the human soul to whether artificial intelligence can gain consciousness. Now Daniel Boyd, an independent researcher in the Netherlands, believes that these problems could be solved if we view information as a substance residing […]

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Social Robots – a New Perspective in Healthcare

The Affective & Cognitive Institute is researching intuitive interfaces and 'intelligent' context-aware robot assistants.

Some social robots are assistants helping with tasks such as lifting, while others take on companion roles and simulate emotions. Dr Oliver Korn, Professor for Human Computer Interaction and Director of the Affective & Cognitive Institute at Offenburg University in Germany, discusses whether social robots should be able to replicate human emotions and explores ethical challenges arising from it. He […]

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Cooperation with autonomous machines through culture and emotion

As robots become ubiquitous to society, human-machine cooperation becomes unavoidable.

People tend to be less cooperative with machines than with humans. Dr Celso de Melo, a computer scientist with the US Army Research Laboratory, and Dr Kazunori Terada, an Associate Professor at Gifu University, Japan, demonstrate how incorporating simple cultural and emotional cues, such as virtual faces showing positive or negative emotion, can help mitigate unfavourable bias toward machines and […]

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Agent-based modelling of immigration impact

A multigenerational household of immigrants in Switzerland.

Policy makers depend on immigration policies and quotas, derived from models of the impacts of immigration to design policies that meet the needs of an entire society. Marcello Marini, Dr Ndaona Chokani and Professor Reza S. Abhari from the Laboratory for Energy Conversion (LEC) Group, at ETH Zürich, have developed an artificial intelligence model that significantly reduces simulation times allowing […]

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Artificial intelligence allows quick and easy diagnosis of pancreatic cancer

Artificial intelligence allows quick and easy diagnosis of pancreatic cancer

The pancreas is an important organ that regulates food digestion and blood sugar levels. Cancers commonly arise in the pancreas, leading to death for over 50,000 patients per year in the U.S. alone. This is due to a lack of effective therapies and a low survival rate for this disease since symptoms arise only in the late stages of disease. […]

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Crisis management: Using Artificial Intelligence to help save lives

Climate change, and humanitarian issues such as the movement of refugees can create challenges for crisis management and emergency response, particularly in developing countries. Dr Mayank Kejriwal, based at the University of Southern California is passionate about applying Artificial Intelligence (AI) to social problems. He is working with colleagues to develop tools that extract critical data sent via social media […]

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Iridescent: Disrupting the classroom for the better

The education system has struggled to keep up with the constant evolution of technology. Iridescent, a global non-profit organisation, is revolutionising education by providing programmes that empower underserved children through technology and engineering. With a special focus on underrepresented young girls, Iridescent challenges the negative myths surrounding AI and uses technology to inspire children to become innovators. Research Outreach spoke […]

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Computational methods of researching cancer treatments

In this research article: Dr Haibe-Kains’ research focuses on the computational integration of high dimensional molecular data to analyse multiple facets of carcinogenesis.

Artificial Intelligence (AI) and machine learning algorithms have the potential to bring substantial advances in the fields of research exploring complex diseases and trying to identify effective treatments. Dr Benjamin Haibe-Kains, working at The Princess Margaret Cancer Centre in Toronto, has spent over a decade developing machine learning tools and databases that could help scientists gain a better understanding of […]

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