I want to talk to you today about the concerns of Non-Equilibrium Information Dynamics and how an understanding of its features lead us to a better intuition about Deep Learning systems or learning systems in general. Allow me to recap my observation from a previous post on "Deep Learning in Non-Equilibrium Dynamics". In our study of Deep Learning, practitioners derive their intuition from the mathematics of physical systems. However, since these are not a physical system that we study but rather information systems, we apply information-theoretic principles. Now, information theory has its origins also in mathematics that describe physics (i.e.

Sounds like a self-help group for frustrated call center employees. Rather, it's a catch-all term for how companies manage customer interactions and data. It covers strategies involving everything from customer service to sales. Each incoming phone call or email may contain an overwhelming amount of data that a mere human in today's hyper-competitive, tech-intensive environment can't handle alone. Time to bring in some help with artificial intelligence.

Since the early 2000s, the cost of sequencing a human genome -- determining the precise order of nucleotides within DNA molecules that defines who we are -- has dropped sharply. A genome that cost $100m to sequence in 2001 can today be sequenced for roughly $1,000. This plummeting cost, along with the shortened timescales for sequencing DNA, has led to a revolution in biotechnology: gene hacking, or the ability to turn genes on and off, and to manipulate biology to our advantage. The most radical branch of this new technology is "gene editing" -- a process by which our DNA code can be cut and pasted using molecular "scissors" for a variety of applications, including curing diseases such as cancers and HIV. Until recently, swapping the code was an arduous process.

A seven-year-old girl from Hereford who penned a letter to Google asking for a job, was delighted to receive a personal response from the chief executive himself. Chloe Bridgewater sent a handwritten letter to the tech giant in which she noted her computer skills and her interest in working in a place where she can "sit on bean bags and go down slides". The letter, first published by Business Insider, makes a pretty solid case for hiring Ms Bridgewater. She wrote in it that she is experienced in tablet usage, computer robot games, swimming, spelling, reading, and sums. She even provided reference: "My teachers tell my mum and dad that I am very good in class."

Tech revolution in business and governance is under way. More boards are responding to the challenge of digital disruption by recruiting directors with specialist tech backgrounds. But this is not enough on its own and could be counter-productive if boards have directors who lack general governance skills. Directors must ask how they can ensure a digital mindset across their organisation and combine digital thinking with critical board tasks such as executive pay, succession planning, strategy governance, corporate reputation and risk management. Rather than trying to predict threats and opportunities, boards must know their organisation can adapt to any tech-related challenge, and that it has the right people, a culture of lifelong learning, and an ethos that thrives on change.

Sounds like a self-help group for frustrated call center employees. Rather, it's a catch-all term for how companies manage customer interactions and data. It covers strategies involving everything from customer service to sales. Each incoming phone call or email may contain an overwhelming amount of data that a mere human in today's hyper-competitive, tech-intensive environment can't handle alone. Time to bring in some help with artificial intelligence.

Aircraft maker Airbus is turning to smart industrial drones, data analytics and machine learning to make aircraft inspections easier and faster. One day while working on a shiny new Airbus A350 aircraft, Ronie Gnecco figured it was time to build a better relationship between drones and passenger airplanes. His bold idea to use flying robots for aircraft safety inspections worked so well it has -- among other projects -- it inspired aircraft manufacturer Airbus to move deeper into the industrial drone revolution. Within a couple of years, the company's intelligent unmanned aerial vehicles (UAV) systems could be used for safety inspections at airports around the world, making planes safer with more on-time flight departures. To make that happen, Gnecco said it will require pioneering efforts from technology experts, regulators and airport authorities from around the world.

Ethan Bloch was in junior high school in Baltimore during the dot-com boom. For his bar mitzvah -- the ceremony that welcomes 13-year-old Jewish boys into adulthood -- Bloch received $7,000 in cash. It was 1998 and, like so many amateur traders at the time, he plunged his wealth into the stock market, mostly software and telecommunication names like Lucent and Nortel. He quickly tripled his money. By age 15, it was all gone.

The most recent World Economic Forum took place in Davos, Switzerland, in January 2016. The theme was the premise that we're now moving into the Fourth Industrial Revolution. Some of the world's most innovative companies are already moving into the digital age. They're learning to utilize cloud computing and machine learning to revolutionize different aspect of their businesses. This is an enormous opportunity for resourceful businesses to tap into the potential offered by digital listening, or using data in new ways.

Dyson is expanding its footprint in Singapore, with a new Technology Centre opened today by the maker of vacuums and other smart home electronics. The UK company will be investing $561 million as part of its commitment to the new facility, which hosts working labs where research and development teams can pool their cumulative hardware and software know-how to help advance the company's growing ambitions. If you're only passingly familiar with Dyson's work, you might be wondering what a company that makes vacuums needs with a half-million dollar tech facility with a focus the company says is on "artificial intelligence, machine learning and software development. But Dyson has always emphasized its tech edge in the domestic cleaning hardware market, and it's only doing more to push that advantage lately, including more work in robotics, computer visions systems and machine learning with products like its Dyson 360 Eye robot vacuum. As you can see from the photos of the facility, the company also put a lot of engineering work into one of its most recent products, the Supersonic hair dryer.