Modev Blog

Machinery.AI Launches in Seattle and DC

After the successful launch of our Voicehacks community in the summer of 2017, we knew it was time to accelerate our plans for Machinery.AI. The Voicehacks tour allowed us to visit ten cities and meet more than 1500 developers and the hunger for all things A.I. was notable. It felt like the early days of iOS and Android with developers and other professionals clamoring for knowledge. The term "AI is the new UI" rings so true. Instead of tap, pinch, swipe, it's now access (data), process, present.

Types of Machine Learning Algorithms

In any AI system, the hardest things to learn are obvious tasks, such as walking. Walking is an overlooked task because it's so natural to us--in fact, we struggle to even articulate what makes us walk the way we do.

How Deep Learning works?

Unlike Artificial Intelligence (AI) or Machine Learning (ML), Deep Learning (DL) is a relatively new term circa 2010. However the underlying technology is not new. Deep Learning is based on Artificial Neural Networks (ANN). Artificial Neural Networks are as old as AI itself. The original idea behind AI was to make computers as smart as human brain. And that's what ANN tries to do by mimicking the brain. The recent hype around DL, especially since 2010, is because the idea seems close to its actual fruition. This dream like scenario is made possible by two recent technological breakthroughs i.e. GPUs and Big Data.

Coding in the Age of Machine Learning

Industrial Revolution automated labor work. Information Revolution automated the mental work. Machine Learning Revolution will automate the automation itself. —Pedro Domingos

Machine Learning, Deep Learning and the Hype

Artificial Intelligence is an umbrella term and covers everything that makes computers more intelligent. Think of it as electricity. Just like electricity fueled the industrial revolution, AI will fuel the information revolution. Soon we will have a computer inside everything. And hence everything will be prone to some level of AI embedded in it. Machine Learning is one way to make that happen. Another way would be to hand program everything and let evolution take place. That process is tedious and almost impossible. There is a limit to how much code humans can write. Machine Learning (ML) enables computers to write code for themselves.

Design in the age of AI

Design is often a misnomer. The kind of cool word that you want to use so people know you are doing important work. Even traditional roles are, sometimes, renamed so the term somehow shows up in them. The word, or field for that matter, was rather obscure before Apple started using it in product intro's. And since then everyone seems to have something to do with it. Which makes talking about the subject rather tricky. So, for the purpose of this article we will divide Design into two categories.

Artificial Intelligence, Where We Are

“As soon as it works, no one calls it AI anymore.” —John McCarthy

John McCarthy coined the term Artificial Intelligence in 1956. And he rightly complained about it. The idea of computers getting more powerful than humans is not new. It has been with us since inception of computers itself. Yet, every time computers start to do what one generation considered sci-fi, the next generation takes it everything but AI.