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Machine learning
In a nutshell, Machine Learning consists of writing the code for an application that helps a computer learn on its own.

Think self-driving vehicles, for example. No one has taught a car how to avoid custom built cars, for example. It's all due to the car driving algorithm, which uses various sensors to detect potential obstacles in its vicinity, and then takes the best decisions. To speed up the process, cars learn from their own experiences.

The key aspects of machine learning are data mining and pattern recognition. The algorithms work using either supervised or unsupervised learning methods.
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IBM predicts that by 2020, 85% of customer interactions will be handled by an AI-based system.

Google acquires DeepMind, a UK-based AI startup, for a reported $525 million.

Init.ai has discontinued its services. The six member team will start working for Apple, helping the company improve Siri.

Mitsubishi Motors Corporation will fit its vehicles with a personal AI assistant, which should make driving safer and easier.

Discover the untapped opportunities of applied AI. Groundbreaking business applications, compelling use cases, rock-solid technical skills, tear-downs of successful AI projects and dissections of failures. The conference will take place at the Hilton Midtown, a spectacular location just steps from Central Park.