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For more information on Jay Tuck, please visit our website www.tedxhamburg.de

US defense expert Jay Tuck was news director of the daily news program ARD-Tagesthemen and combat correspondent for GermanTelevision in two Gulf Wars. He has produced over 500 segments for the network. His investigative reports on security policy, espionage activities and weapons technology appear in leading newspapers, television networks and magazines throughout Europe, including Cicero, Focus, PC-Welt, Playboy, Stern, Welt am Sonntag and ZEITmagazin. He is author of a widely acclaimed book on electronic intelligence activities, “High-Tech Espionage” (St. Martin’s Press), published in fourteen countries. He is Executive Producer for a weekly technology magazine on international television in the Arab world. For his latest book “Evolution without us – Will AI kill us?” he researched at US drone bases, the Pentagon, intelligence agencies and AI research institutions. His lively talks are accompanied by exclusive video and photographs.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community.

You have to admit it. Some of the uses of artificial intelligence are simply fascinating. One of the more exciting aspects of artificial intelligence is seeing all the potential ways the technology can be applied to our daily lives, even if it at times it seems a little creepy. We have seen artificial intelligence technology shape everything from the medical world to art. However, did you ever think that AI would go on to shape the world of stock images?

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Now if you are familiar with people using AI to create portraits of people who do not exist, then surely this idea came to your mind at some point. Yet, another industry influenced by the world of AI.

A new technology using artificial intelligence detects depressive language in social media posts more accurately than current systems and uses less data to do it.

The technology, which was presented during the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, is the first of its kind to show that, to more accurately detect depressive language, small, high-quality data sets can be applied to deep learning, a commonly used AI approach that is typically data intensive.

Previous psycholinguistic research has shown that the words we use in interaction with others on a daily basis are a good indicator of our mental and emotional state.

This is the final part in a series of in-depth articles examining China’s efforts to build a stronger domestic semiconductor industry amid rising trade tensions.


Some in China see custom AI chips, which can offer superior performance to conventional integrated circuits even when manufactured using older processes, as helping the country loosen its dependence on the US in core technology.

Combining new classes of nanomembrane electrodes with flexible electronics and a deep learning algorithm could help disabled people wirelessly control an electric wheelchair, interact with a computer or operate a small robotic vehicle without donning a bulky hair-electrode cap or contending with wires.

By providing a fully portable, wireless brain-machine interface (BMI), the wearable system could offer an improvement over conventional electroencephalography (EEG) for measuring signals from visually evoked potentials in the . The system’s ability to measure EEG signals for BMI has been evaluated with six human subjects, but has not been studied with disabled individuals.

The project, conducted by researchers from the Georgia Institute of Technology, University of Kent and Wichita State University, was reported on September 11 in the journal Nature Machine Intelligence.

Of interest?


Welcome to our annual HUAWEI CONNECT in Shanghai from September 18 to 20. At this year’s event we will announce our latest cloud and AI solutions, and share what we’re doing to help our customers and partners go digital.

Robots aren’t going to take everyone’s jobs, but technology has already reshaped the world of work in ways that are creating clear winners and losers. And it will continue to do so without intervention, says the first report of MIT’s Task Force on the Work of the Future.


Widespread press reports of a looming “employment apocalypse” brought on by AI and automation are probably wide of the mark, according to the authors. Shrinking workforces as developed countries age and outstanding limitations in what machines can do mean we’re unlikely to have a shortage of jobs.

But while unemployment is historically low, recent decades have seen a polarization of the workforce as the number of both high- and low-skilled jobs have grown at the expense of the middle-skilled ones, driving growing income inequality and depriving the non-college-educated of viable careers.

This is at least partly attributable to the growth of digital technology and automation, the report notes, which are rendering obsolete many middle-skilled jobs based around routine work like assembly lines and administrative support.