Deep Learning Summit
Boston

Yosinski is performing a kind of brain surgery on the AI running on his laptop. Like many of the AIs that will soon be powering so much of modern life, this program is a deep neural network, with an architecture loosely inspired by the brain. And like the brain, the program is hard to understand from the outside: It’s a black box.

Most of our smart devices can predict what we want to do next, but they can’t understand why we're going to do it. That’s what Rana el Kaliouby, cofounder and CEO of Affectiva, is hoping to change with technology that reads humans’ facial expressions.

Mozilla announced a mission to help developers create speech-to-text applications by making voice recognition and deep learning algorithms available to everyone. The company’s machine learning group is one step closer to completing that mission with the initial open source release of its speech recognition model and voice dataset.

Machine learning is playing an increasingly significant role in emerging mobile application domains such as AR/VR, ADAS, etc. Accordingly, hardware architects have designed customized hardware for machine learning algorithms, especially neural networks, to improve compute efficiency.

Known for its See & Spray Technology, Blue River is one ag tech startup bringing machine learning into reality—and into the field. Starting in Texas and spanning to Georgia and through the Mississippi Delta, Blue River will partner with John Deere dealers to identify local farmers as test cooperators for in-field demos in 2018.