Reproducibly and Revisiting History

In episode ten of season five we talk about reproducibility, take a listener question on re understanding the history of the field given where we are now and how other fields are reviewing their own history and listen to a conversation with Graham Taylor of the Vector Institute.

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arXiv Whitepapers

Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy

Background: Research in embodied artificial intelligence (AI) has increasing clinical relevance for therapeutic applications in mental health services. With innovations ranging from ‘virtual psychotherapists’ to social robots in dementia care and autism disorder, to robots for sexual disorders,...

Emergence of exploratory look-around behaviors through active observation completion

Standard computer vision systems assume access to intelligently captured inputs (e.g., photos from a human photographer), yet autonomously capturing good observations is a major challenge in itself. We address the problem of learning to look around: How can an agent learn to acquire informative...

Interpretable classification of Alzheimer’s disease pathologies with a convolutional neural network pipeline

Neuropathologists assess vast brain areas to identify diverse and subtly-differentiated morphologies. Standard semi-quantitative scoring approaches, however, are coarse-grained and lack precise neuroanatomic localization. We report a proof-of-concept deep learning pipeline that identifies specific...

News Articles

How Uber and other digital platforms could trick us using behavioral science – unless we act fast

Floods will cost the UK billions, but AI can help make sewers the first defence

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Facebook wants to combat fake news with ID checks – with ‘grave implications’ for our privacy

Painting a fuller picture of how antibiotics act

Artificial intelligence shines light on the dark web

AI develops human-like number sense – taking us a step closer to building machines with general intelligence

Google’s algorithms discriminate against women and people of colour

How to tell whether machine-learning systems are robust enough for the real world

Wireless movement-tracking system could collect health and behavioral data

Merging cell datasets, panorama style