Those gazing into the night sky have speculated about life beyond Earth since Zeus was a boy. Deep learning now holds the promise of zeroing in on an answer. A deep learning system devised by astronomers at University College London sifts through data from telescopes trained on faraway solar systems to detect planets with the potential to sustain life. "We want to know which planets are worth further study and which aren't, and we want to automate that," said Ingo Waldmann, the University College London post-doctoral researcher who leads the development team. He calls the GPU-accelerated deep learning program RobERt, short for Robotic Exoplanet Recognition.

This is the third article in a series taken from The insideHPC Guide to The Industrialization of Deep Learning. The recent introduction of new high end processors from Intel combined with accelerator technologies such as NVIDIA Tesla GPUs and Intel Xeon Phi provide the raw'industry standard' materials to cobble together a test platform suitable for small research projects and development. When combined with open source toolkits some meaningful results can be achieved, but wide scale enterprise deployment in production environments raises the infrastructure, software and support requirements to a completely different level. If we begin by considering a deep learning focused rack mount system that is designed for production use such as the HPE Apollo 6500 system, density and performance are extremely impressive. However, such capability brings other considerations to the forefront from the infrastructure perspective.

The way in which people engage with brands has changed. Gone are the days when it was a one-way interaction; younger demographics especially love a value-add exchange with brands they can identify with. Chatbots have been heralded as one way of opening up the channels, but as with every new marketing tech innovation, you need to get it right. Brands need access to tech that can do the job well and not make the experience clunky and robotic. One company that recognises this issue is Israel/US based imperson.

In March this year, Microsoft CEO Satya Nadella talked about the industry trend of using human language more pervasively for interaction with computing devices, a trend he called "conversation as a platform." He also announced several bot initiatives, including the company's bot framework. In April, Facebook launched its Messenger platform with bots. Then, in May, Google announced its attempt to develop AI-powered bots, called Google Assistant. Since then, bots have been widely regarded as a new user interface (UI) to fundamentally change how computing will be experienced by people.

As Samantha's psychological and intellectual capacities grow, so does Theodore and Samantha's love for each other. The line between the consciousness experienced by intelligent machines and human beings will be blurrier than we would like to admit. Programming AI to have the capacity to feel love can allow us to create more compassionate AI and may be the very key to avoiding the AI apocalypse many fear. The person, place, event or service making the request or statement haven't realized that they are already serving or love to begin with.

Artificial intelligence is beginning to disrupt entire industries from finance to medicine. Yet the most revolutionary application has yet to arrive--and it's an existential one. As thinking machines become more integrated into our lives, we must expect a transformation in how we define what it means to be conscious; what it means to live and to die; and ultimately, what it means to love a non-human being. These questions are artfully explored in the plot of the 2013 sci-fi film, Her, which tells the story of a man who falls deeply in love with an intelligent operating system. This OS, Samantha, is designed to evolve and adapt her personality to appeal to Theodore.

"The information all becomes shareable and then the decision will be made by these kind of guardian angels for each of the firefighters," said Edward Chow, manager of the Jet Propulsion Laboratory's Civil Program Office and AUDREY program manager. The AI automatically warns a police officer inside to evacuate, while also telling incoming firefighters or hazardous-material teams to address the threat quickly. Those firefighters, police officers and EMTs of the future will carry body-worn sensors, cameras and augmented glasses with heads-up displays. "The proliferation of miniaturized sensors and internet of things devices can make a tremendous impact on first responder safety, connectivity and situational awareness," said John Merrill, Next Generation First Responder program manager for the DHS' Science and Technology Directorate.

The time has arrived when every marketer, every business owner should buckle up themselves to face the shift from Text Based Search to Voice Search in the digital world.

Below there's the whole Gist page containing the full Python code. It has been developed and tested with Theano/GPU support, but it can easily work with CPU-only support. Any comment or suggestion is welcome!

It has been developed and tested with Theano/GPU support, but it can easily work with CPU-only support. Any comment or suggestion is welcome!