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.
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.
How humanity will meet its end is a an endless source of fascination in science fiction. But scientists claim many of the scenarios depicted in films - such as an asteroid strike and killer robots - may not be as far fetched as you might think. Now researchers at Cambridge University's Study of Existential Risk (CESR) have come up with a list of 10 threats that may some day trigger an apocalypse. Humanity faces an uncertain future as technology learns to think for itself and adapt to its environment. Artificial Intelligence, disguised as helpful digital assistants and self-driving vehicles, is gaining a foothold and it could one day spell the end for mankind if allowed to develop without strict controls.
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.
Drone images accumulate much faster than they can be analyzed. Researchers have developed a new approach that combines crowdsourcing and machine learning to speed up the process. Who would win in a real-life game of "Where's Waldo," humans or computers? A recent study suggests that when speed and accuracy are critical, an approach combing both human and machine intelligence would take the prize. With drones being used to monitor everything natural disaster sites, pollution, or wildlife populations, analyzing drone images in real-time has become a critically important big data challenge.