The future of Artificial Intelligence in Mental Health


The mental image of AI has always been that of a non-sentient being conversing meaningfully with us, starting as an assistant, and potentially taking over control from humans. In reality, AI is on our phone already, not just as Siri or Allo, but in map navigation, image correction, face recognition, deciding which ads we see and what products are recommended to us. We also live in a world where one in four people suffer from mental disorders, making it one of the leading causes of disability and ill-health. Technology has become an addiction, and it often blamed as the cause of rising mental health issues. Could Artificial intelligence help it become the cure instead?

Good bot, bad bot: Can you trust a robot that cares?


Less Hal and more Her, responding warmly to the feelings of others may no longer be a uniquely animal quality. Empathetic responses are being integrated into artificial intelligence and robotics, raising sticky ethical questions. The shift can be subtle or overt -- from emotionally appropriate gestures from your smartphone's voice assistant, to comforting robotics in clinical situations. For instance, Danielle Krettek, the founder of Google's Empathy Lab, said her work has contributed to some of the Google Assistant's apparent ability to attune to your mood. "When you say, 'I'm feeling depressed', instead of giving you a description of what depression is, it [might say], 'you know what, a lot of people feel that.

Global Bigdata Conference


News concerning Artificial Intelligence (AI) abounds again. The progress with Deep Learning techniques are quite remarkable with such demonstrations of self-driving cars, Watson on Jeopardy, and beating human Go players. This rate of progress has led some notable scientists and business people to warn about the potential dangers of AI as it approaches a human level. Exascale computers are being considered that would approach what many believe is this level. However, there are many questions yet unanswered on how the human brain works, and specifically the hard problem of consciousness with its integrated subjective experiences.

The Future of Artificial Intelligence (AI)


His research focuses at the intersection of computer vision, AI, machine learning, and graphics, with particular emphasis on systems that allow people to interact naturally with computers. These projects include the UK's biometric matching system and the International Technology Alliance research programme into novel sensor networks. Dr Waggett has extensive experience of innovative IT systems, including research into image processing at University College London and the Marconi Research Centre. His work includes responsibility for the delivery of innovative systems for a range of government and commercial organisations and he has been the Big Data subject matter expert for a range of projects and clients including the UK's biometric visa matching system.

MRI brain scans train machines to see the world more like us

New Scientist

ARTIFICIAL intelligence is taking image recognition tips from a real expert: the human brain. Using fMRI brain activity scans as a training tool has boosted the ability of machine learning algorithms to recognise objects. The technique could improve face recognition systems or help autonomous vehicles better understand their surroundings. Machine learning is still a long way behind humans when it comes to tasks like object recognition, says David Cox at Harvard University. So his group trained algorithms to process images more like we do.