7 AI trends to watch in 2017
From tools, to research, to ethics, Ben Lorica looks at what’s in store for artificial intelligence in 2017.
AI & ML
Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML).
8 data trends on our radar for 2017
From deep learning to decoupling, here are the data trends to watch in the year ahead.
2017 will be the year the data science and big data community engage with AI technologies
The O’Reilly Data Show Podcast: A look at some trends we’re watching in 2017.
2016 Bots year in review
The O’Reilly Bots Podcast: Recapping a revolutionary year in AI and bots, and looking ahead to 2017.
Dennis Mortensen on email bots
The O’Reilly Bots Podcast: X.ai founder on personal assistant agents that schedule your meetings.
Data is only as valuable as the decisions it enables
The O’Reilly Data Show Podcast: Ion Stoica on building intelligent and secure applications on live data.
The ethics of face recognition
We need AI researchers who are actively trying to defeat AI systems and exposing their inadequacies.
Reinforcement learning explained
Learning to act based on long-term payoffs.
Introducing model-based thinking into AI systems
The O’Reilly Data Show Podcast: Vikash Mansinghka on recent developments in probabilistic programming.
Richard Socher on the future of deep learning
The O’Reilly Bots Podcast: Making neural networks more accessible.
Ben Brown on bot tools
The O’Reilly Bots Podcast: An optimistic look at the future of bots.
Building the next-generation big data analytics stack
The O’Reilly Data Show Podcast: Michael Franklin on the lasting legacy of AMPLab.
The hard thing about deep learning
Deeper neural nets often yield harder optimization problems.
The ethics of artificial intelligence
A framework for thinking about AI.
Visual tools for overcoming information overload
The O’Reilly Data Show Podcast: Dafna Shahaf on information cartography and AI, and Sam Wang on probabilistic methods for forecasting political elections.
Andrew Therriault on how data is transforming political campaigns
The O’Reilly Bots Podcast: Using data science to allocate campaign resources.
Artificial creativity
Is it possible for an AI to create revolutionary art?
3 challenges for artificial intelligence in medicine
Overcoming the dearth of labeled data, deployment issues, and regulation fears to increase the use of AI in health care.
Shivon Zilis on the machine intelligence landscape, and Bot Day wrap-up
The O’Reilly Bots Podcast: Bots are the new web.
Michael Schneider, Rachel Law, and Alyx Baldwin on customer service with bots
The O’Reilly Bots Podcast: How bots are transforming the way companies interact with their customers.
Why businesses should pay attention to deep learning
The O’Reilly Data Show Podcast: Christopher Nguyen on the early days of Apache Spark, deep learning for time-series and transactional data, innovation in China, and AI.
What will AI make possible that’s impossible today?
If we let machines put us out of work, it will be because of a failure of imagination and a lack of will to make a better future. (Full text, video, and slides from Tim O'Reilly's talk at the White House Frontiers Conference.)
Jassim Latif on workplace bots
The O’Reilly Bots Podcast: Bots that can respond to groups of users.
Understanding predictive analytics
The O’Reilly Data Show Podcast: Natalino Busa on developments in feature engineering and predictive techniques across industries.