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The news lately has been filled with conversations about the arrival of Artificial Intelligence describing a future world where machines augment work done today by humans with applications as far ranging as automated driving to social interactions. As with many societal transformations, some have viewed these technological breakthroughs through a lens of fear. Are we giving up too much control? Will machines fundamentally destroy our current economic models? These are some of the same questions previous generations have asked about inventions like the printing press, the cotton gin and the automobile.
As the creators of the microprocessor, we view technology disruption as a great force for human innovation, and there is no question that AI represents a once a generation opportunity for societal advancement. In fact, among the most promising use cases of artificial intelligence are technological advancements to aid in some of society's largest opportunities: world food supply, medical research, human safety. The question for us is not if we should create AI enhanced solutions, it's how we should approach the advancement of AI to the betterment of us all.
AI has the power to change society for the better, and Intel has committed to three key areas to get us there: Developing a broad product portfolio benefitting from the advancements of Moore’s Law, investing in training and resources to help make AI technologies accessible for everyone, and fostering beneficial uses of AI technology through partnerships and investments. Through these collaborations, we expect a massive leap forward in AI solution delivery in the next few years.
End to End AI Portfolio
The delivery of AI solutions is being partially fueled by a breakthrough in compute performance. With today’s compute capability and architectural innovation, we can now meet the intense demands of artificial intelligence.
Intel offers the most comprehensive and diverse portfolio of products for machine and deep learning in the data center, including Intel® Xeon® processors and Intel® Xeon Phi™ processors (next generation codenamed Knights Mill) for general purpose infrastructures, as well as FPGAs and Intel® NervanaTM technology (codenamed Lake Crest) for workload-optimized environments.
In addition to data center specific technologies, we’ve also added Saffron and Movidius to our portfolio. The Saffron technology, which combines machine and deep learning with emerging techniques on a Natural Intelligence Platform, is particularly well suited to small devices, making intelligent local analytics possible across IoT, while Movidius’ Myriad 2 vision processors act as the visual cortex in computer vision for intelligent edge devices.
Together, this end to end roadmap puts Intel in position to drive the AI computing era, and deliver amazing experiences using AI.
Making AI Accessible for All
In order to realize the potential offered by AI, we must work together as an industry and as a society. Intel is working to promote the creation of open data exchanges and initiatives, easier-to-use tools, and training to broaden the talent pool, as well as to provide easier access to intelligent technology.
The Intel® Nervana™ AI Academy is a great resource to help scientists, students, and developers increase their progress to AI solutions. At the site, the AI community can find “all things AI” including Intel® architecture optimized deep learning frameworks, tools for training and deployment, and a vast array of education, courses and resources, as well as access to a broad community of experts. We’ve also partnered with Coursera to offer online AI courses.
Access to AI tools and techniques across the industry will foster innovation and increase momentum for AI solutions, but we as a society also have a responsibility to make sure that those solutions are ethically developed and deployed.
AI for Good
To ensure that AI is used to benefit the world, Intel is focusing on developing use cases and deployments of AI to aid in our most challenging issues. In the medical field, Intel is currently sponsoring a Kaggle competition for cervical cancer screening and a Tianchi competition on lung cancer identification. We’ve also invested $25 million in the Broad Institute to analyze massive amounts of genomic data. Outside of the medical industry, we’re also addressing human trafficking through a collaboration with the National Center for Mission and Exploited Children in partnership with other industry leaders. We’re providing AI technology and advising the center with the goal of identifying victims faster and accelerating the documentation of evidence against perpetrators.
These initiatives are focused on specific issues, but public policy will also play a critical role development of artificial intelligence solutions. Intel plans to work with and fund projects through NGOs that are establishing ethical, moral, and privacy parameters for AI, and determining how best to prepare society for this transformation.