The Coming Age of Killer Machines
The most terrifying film of the year didn’t come from Hollywood. It came from a think tank looking to save us all from killer machines. In the movie’s near future dystopia, palm sized drones loaded up with explosives use facial recognition to hunt down and slaughter people with pin point precision. A series of devastating attacks sweep the countryside. Swarms of the micro murderers tear through congress, massacring Senators based on ideology. Terrorists unleash a horde of the flying monsters into schools to take out the kids of parents who dare to speak out against the threat.
The convergence of AI and Blockchain: what’s the deal?
It is undeniable that AI and blockchain are two of the major technologies that are catalyzing the pace of innovation and introducing radical shifts in every industry. Each technology has its own degree of technical complexity as well as business implications but the joint use of the two may be able to redesign the entire technological (and human) paradigm from scratch.
Stanford-led artificial intelligence index tracks emerging field
A Stanford-led team has launched the first index to track the state of artificial intelligence and measure technological progress in the same way the GDP and the S&P 500 index take the pulse of the U.S. economy and stock market.
Amazon SageMaker – Accelerating Machine Learning
Amazon SageMaker is a fully managed end-to-end machine learning service that enables data scientists, developers, and machine learning experts to quickly build, train, and host machine learning models at scale. This drastically accelerates all of your machine learning efforts and allows you to add machine learning to your production applications quickly.
Google’s Artificial Intelligence Built an AI That Outperforms Any Made by Humans
Google's AutoML project, designed to make AI build other AIs, has now developed a computer vision system that vastly outperforms state-of-the-art-models. The project could improve how autonomous vehicles and next-generation AI robots "see."
AI sex dolls are just around the corner
The sex doll industry is on the verge of greatness, in its own special way. Soon the Stepford Wives of science fiction will become real, thanks to the magic of AI.
Population based training of neural networks
In our most recent paper, we introduce a new method for training neural networks which allows an experimenter to quickly choose the best set of hyperparameters and model for the task. This technique - known as Population Based Training (PBT) - trains and optimises a series of networks at the same time, allowing the optimal set-up to be quickly found. Crucially, this adds no computational overhead, can be done as quickly as traditional techniques and is easy to integrate into existing machine learning pipelines.
Microsoft’s AI-powered app can help you learn Chinese
For people learning Chinese, Microsoft is aiming to fill that void with a new smartphone app that can act as an always available, artificially intelligent language learning assistant.
Robots Are Wrong Too—Confusion Mapping for the Worst Case
"When was the last time a calculator didn’t do what you wanted it to? When was the last time that a person did? Algorithms like machine learning are in between these two from a deterministic standpoint." "Today we are building machines that are more complex than we can understand and we need to deal with them differently than we would previous technologies. It is no longer about specifying what we want something to do and then debugging it." "At Philosophie we have been building new tools and exercises like Empathy Mapping for the Machine to bring human purpose to AI and machine learning projects. The latest is what we call Confusion Mapping and it helps you better prepare for the all the possible ways non-deterministic systems could fail."
Infrastructure 3.0: Building blocks for the AI revolution
Collectively, the innovations of this epoch — Infrastructure 3.0 — will be about unlocking the potential of ML/AI and providing the building blocks for intelligent systems. As with previous generations, there will be new projects, platforms, and companies that emerge and challenge the current incumbency. The arms dealers for this imminent ML/AI revolution promise to be the infrastructure giants of tomorrow.
Videos from Cognitive Computational Neuroscience (CCN) 2017