Lifeboat Foundation

OpenAI hopes that by making artificial intelligence more useful, it’ll gain wider use and acceptance.

Google DeepMind’s new simulated world could lead to advances in robotics, and help us better understand how humans learn.

Read this introductory list of contemporary machine learning algorithms of importance that every engineer should understand.

By James Le, New Story Charity.

Continue reading “The 10 Algorithms Machine Learning Engineers Need to Know” »

MIT researchers and their colleagues have developed a new computational model of the human brain’s face-recognition mechanism that seems to capture aspects of human neurology that previous models have missed.

The researchers designed a machine-learning system that implemented their model, and they trained it to recognize particular faces by feeding it a battery of sample images. They found that the trained system included an intermediate processing step that represented a face’s degree of rotation — say, 45 degrees from center — but not the direction — left or right.

Continue reading “How the Brain Recognizes Faces” »

I know this is 2 days old; however, glad I came across it. As Gene Circuitry & Living systems in general are truly advancing more quickly in the recent year than I have seen over the past decade.

The real question is with AI, 3D/ 4D synbio printing, Gene/ Cell Circuitry; which areas of medicine will continue to existing in the next 15 years?

A Brock University research team has created a tool that can potentially be used in a future computer that will be made out of DNA.

Continue reading “Computers with DNA? Brock team working to help make it happen” »

Deep learning is changing how Google’s search engine works. But its new-found efficiency takes a lot of painstaking human work behind the scenes.

Driven by a declining population, a trend for developing robotic babies has emerged in Japan as a means of encouraging couples to become “parents”. The approaches taken vary widely and are driven by different philosophical approaches that also beg a number of questions, not least whether these robo-tots will achieve the aim of their creators.

To understand all of this it is worth exploring the reasons behind the need to promote population growth in Japan. The issue stems from the disproportionate number of older people. Predictions from the UN suggest that by 2050 there will be about double the number of people living in Japan in the 70-plus age range compared to those aged 15–30. This is blamed on a number of factors including so-called “parasite singles”, more unmarried women and a lack of immigration.

Continue reading “Robot Babies From Japan Raise Questions About How Parents Bond With AI” »

Artificial intelligence and increasing automation is going to decimate middle class jobs, worsening inequality and risking significant political upheaval, Stephen Hawking has warned.

In a column in The Guardian, the world-famous physicist wrote that “the automation of factories has already decimated jobs in traditional manufacturing, and the rise of artificial intelligence is likely to extend this job destruction deep into the middle classes, with only the most caring, creative or supervisory roles remaining.”

He adds his voice to a growing chorus of experts concerned about the effects that technology will have on workforce in the coming years and decades. The fear is that while artificial intelligence will bring radical increases in efficiency in industry, for ordinary people this will translate into unemployment and uncertainty, as their human jobs are replaced by machines.

Continue reading “Stephen Hawking: Automation and AI Are Going to Decimate Middle Class Jobs” »

Google’s Deep Brain team watched neural nets learn to develop their own encryption.