Artificial Intelligence

As AI evolves, the role of the computer scientist is changing. Sure, the
world still needs people who can code software. But increasingly, it also
needs people who can train neural networks, a very different skill that’s
more about coaxing a result from the data than building something on your
own. Companies like Google and Facebook are not only hiring a new kind of
talent, but also reeducating their existing employees for this new future –
a future where AI will come to define technology in the lives of just about
everyone.

Can machines really think? Here is a series of interviews with some of the
AI pioneers, Jerome Wiesner, Oliver Selfridge, and Claude Shannon. A view
of the future of computer intelligence from back then.

Bridgewater Associates has a team of engineers working on a project to
automate decision-making to save time and eliminate human emotional
volatility.

Move over Mariah Carey. There’s a new holiday star in town. Behold, a new
Christmas carol for the 2016 holiday season! AI writes a Christmas carol.
Listen to it here.

How Google used artificial intelligence to transform Google Translate, one
of its more popular services – and how machine learning is poised to
reinvent computing itself.

Diabetic retinopathy (DR) is the fastest growing cause of blindness, with
nearly 415 million diabetic patients at risk worldwide. If caught early,
the disease can be treated; if not, it can lead to irreversible blindness.
Unfortunately, medical specialists capable of detecting the disease are not
available in many parts of the world where diabetes is prevalent. We
believe that Machine Learning can help doctors identify patients in need,
particularly among underserved populations.

What happens when you tell two smart computers to talk to each other in
secret and task another AI with breaking that conversation? You get one of
the coolest experiments in cryptography I’ve seen in a while.