Contributor: Bennie Mols

Bennie MolsBennie Mols is a science journalist, author and speaker with twenty years of experience, specialising in artificial intelligence, robots and the human brain. He published twelve books, most notably Hallo robot (translated into English and Chinese), Robotics for future presidents and Turings Tango (in Dutch only – about artificial intelligence). He regularly appears on radio and tv to talk about artificial intelligence and robots. He is also a public speaker on the same subjects. Among many other presentations, he gave a TEDx-presentation about human-machine-interaction: ‘The one thing computers and robots will never be able to do‘.He graduated from physics and philosophy and holds a PhD in physics. With this background he uniquely combines in his work the fields of science, technology and philosophy, always asking the question how the combination of these three disciplines can improve people’s lives.

Natural Language Processing - NLP - Speech Recognition - Computational Linguistics Concept

Demystifying artificial intelligence

During the STOA workshop 'AI Public Perspectives' on 14 November in the European Parliament in Brussels, Geertrui Mieke De Ketelaere will give a keynote lecture about 'Demystifying artificial intelligence'. She talks to the European Science-Media Hub about her view on the public perception of artificial intelligence. 'AI is about algorithms', said a computer scientist. 'AI ...

Wave of musical sounds. Abstract background with interweaving of dots and lines. 3D rendering

Artificial intelligence starts to hit the right note

In the field of music, artificial intelligence is used both to analyse and to create music. For almost any musical piece AI-tools can already extract information about melody, harmony, rhythm, emotion and style. AI-systems are also starting to improvise on stage together with top musicians.

Wave of musical sounds. Abstract background with interweaving of dots and lines. 3D rendering Gérard Assayag interview

A scientist’s opinion: Interview with Gérard Assayag on AI in music

Gérard Assayag is an Ircam research director and head of Ircam Music Representation Team in Paris. He has co-designed various music research software environments which are used in many places for computer assisted composition, analysis and improvisation. How can an AI-tool play music together with a human musician? Gérard Assayag: By listening to music our ...

Wave of musical sounds. Abstract background with interweaving of dots and lines. 3D rendering Emilia Gomez interview

A scientist’s opinion: Interview with Emilia Gómez on AI in music

Emilia Gómez is a senior researcher at the Joint Research Centre of the European Commission in Sevilla and a guest professor of the Department of Information and Communication Technologies at the Universitat Pompeu Fabra in Barcelona. In recent years you worked on two large European projects that investigated AI to analyse music: PHENICX and TROMPA. ...

Hugo Aerts, Artificial intelligence in smart healthcare hospital technology concept. Doctor point pen to AI biomedical screen, machine learning detect brain cancer cell

A scientist’s opinion: Interview with Professor Hugo Aerts on AI in medical imaging

Interview with Hugo Aerts, professor of AI in medicine at Maastricht University (Netherlands). He is also director of the AI in medicine (AIM) program at Harvard University and Mass General Brigham in Boston (USA). You received a EUR 2 million European Research Council grant for the project ‘Deep Learning for Automated Quantification of Radiographic Tumor ...

Regina Barzilay, Artificial intelligence in smart healthcare hospital technology concept. Doctor point pen to AI biomedical screen, machine learning detect brain cancer cell

A scientist’s opinion: Interview with Professor Regina Barzilay on AI in medical imaging

Interview with Regina Barzilay, distinguished professor for AI and Health at MIT (USA). She is also an AI faculty lead for Jameel Clinic, an MIT center for Machine Learning in Health. What is your view on the future of artificial intelligence in medical imaging for the next 10 years? Regina Barzilay: Many of today’s successful applications ...

Artificial intelligence in smart healthcare hospital technology concept. Doctor point pen to AI biomedical screen, machine learning detect brain cancer cell

The future of AI for healthcare: ‘AI can make a huge difference’

Artificial intelligence (AI) plays an increasing role in healthcare. It can automate repetitive tasks and help doctors to better diagnose certain cancers. Will AI soon be able to do diagnostics and predictions for disease and treatment which go beyond human’s capacities?

Doctor checking brain testing result with robotics on virtual interface on laboratory background, innovative technology in science and medicine concept

Making the medical imaging pipeline smarter

An interview with Prof. Dr Daniel Rückert, Alexander von Humboldt Professor for Artificial Intelligence in Medicine and Healthcare at the Technical University of Munich (Germany). In 2020, he received a EUR 2.5 million European Research Council (ERC) grant for the five-year project ‘Deep Learning for Medical Imaging: Learning Clinically Useful Information from Images’, which runs ...