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Air Force Tests IBM's Brain-Inspired Chip as an Aerial Tank Spotter. Neuromorphic chips.
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- Franz Dill
- Retired from Procter & Gamble after 27 years. Now consulting extensively. Background in mathematics, working on a wide variety of modeling, supply chain, analysis, expertise, business intelligence and social media applications.
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- AI Newsletter
- Why Should Algorithms Explain themselves?
- MS Buys Deep Learning Company
- Apple Making Smart Glasses
- Salespeople and Executives
- Smart Glasses Adjust for Visual Tasks
- What is Machine Learning, and Why is it Intelligent?
- What AI Needs is a Dose of Realism
- Year of the Chatbot?
- Differential Event Models
- Random Walks for Time Series Forecasting
- Google Testing D-Wave Quantum Computing
- Watson Analytics Professional
- Learning and Bayesian updating in long cycle made-...
- Let Alexa Scan Paper Abstracts for You
- Detecting and Identifying Images
- Beyond Big Data to Complex Systems
- Smart Machines to Boost Emotional Intelligence
- Mr Clean Goes to the Superbowl
- Virtualitics for VR Analytics
- Getting Better Wisdom from Crowds
- Allowing End Users to Build Models
- Adding AI to Raspberry Pi
- Q&A on PowerAI
- Tensorflow and PowerAI
- Talk on Technology Trends
- Update on D-Wave
- Digital Whiteboards
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- Year of the Virtual Assistant
- Sewing Robots
- On Google VR
- CSI Talk: IT Technology Trends in 2017
- Packaging and the Internet of Things
- Voice Assistant Apps
- Mattel Aristotle by Nabi
- Areas of AI to Watch
- Locating People in the Wild
- Is Data the New Oil?
- AI is Changing the Retail Industry
- Building Networks for Ecosystems
- An AI on the Board
- Talking Tom Reaps Eyeballs
- Display Cards for Alexa
- Marketing Campaign
- Tips for VR Content
- AI Building AI
- Artificial Fingertip Feels
- Scan and Go Again
- Help Every Child Learn to Read
- Revealing the Limits of AI
- Using Mobile Platforms for Early Literacy Education
- AI Resolving Customer Disputes
- China Doubling Down on AI
- Wharton Overview of Blockchain
- Connect + Develop Looks for Innovation.
- Inventory Sensing Refrigerators
- Reviewing Turings Enigma
- IBM Announces Cognitive Principles
- 3D Data Optimization by Simplygon
- IEEE on the Kuri Robot
- Predicting Machine Problems with Deep Learning
- Leadership in a Cognitive era
- Raspberry Pi Upgrade
- Forbes on Uses of AI today
- Trends in Digital Transformation
- Course about AI in the Enterprise
- Simulation Against Real World Data for Learning
- Service Science Readings
- Complex Systems Similarity through Fractal Folding
- Benefits of RFID Data in Retail
- Humans are Still at Work
- Another Face and Voice for the Alexa Engine
- EU to Give Robots Personhood?
- McKinsey on Automation
- Forty Techniques for Data Science Analytics
- Alexa Becoming the Voice of the IOT?
- Self Organizing Robotics
- Electric Cars Going Mainstream
- January-February 2017 Analytics Magazine
- Sensors in the Internet of Things
- Pinterist uses Deep Learning
- Autonomous Collaborating Micro-Drone Swarms
- Jill Watson at Ga Tech
- ACM Statement on Algorithmic Transparency and Acco...
- Chatbot Retention Problem
- Industrial Lab for IoT
- Digimarc at the NRF
- Intro to Neural Networks and Meta-Frameworks for D...
- Why: A Guide to Finding and Using Causes
- Developing Services for the Google Home
- Transfer Learning for AI Projects
- Uncertainty in US Economy
- Pringles are Getting Louder
- Chatbots in Retail
- GE Geneva: Understands 55 Billion Utterances
- Stretchable Transistors
- First Impressions: People, Brands?
- BPM Empowering IoT and Defining Analytics
- Softbank Pepper Sales Robot
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January
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