AI periodicering
The Four Waves of A.I. - Kai-Fu Lee 2018
... What changed everything a decade or so ago was an approach called “deep learning” ...
The first stage is “Internet A.I.” Powered by data flowing through the web ...
The second wave is “business A.I.” ...
The third wave ... call it “perception A.I.” ...
The fourth wave is ... “autonomous A.I.”
www.fortune.com/2018 ...
Brancher
Forsikringsbranchen
Get Ready for the Insurtech Revolution, Act 2
The second act, which Schreiber calls “Deep Seeing,” will revolutionize core insurance products and pricing. He said the second act will have a profound impact as it deploys artificial intelligence (AI) and machine learning along with predictive modeling and nontraditional data sets.
Debate:
“The next insurance leaders will use bots, not brokers, and AI, not actuaries,” he proclaimed to the audience at the ITC.
... offer a product such as a will or, perhaps in the future, a genetic test, for free as a way of getting to the insurance sale. He also sees non-insurance firms entering.
Daniel Glaser, CEO of insurance broker and risk consulting giant Marsh McLennan, also has a view on the next phase of insurtech. But his view includes brokers. He swatted down the Lemonade leader’s notion that bots will replace brokers. “That’s just nonsense,” he declared. “I’m on the other side of that bet.” ... He predicts companies will at first go about creating proprietary AI and machine learning applications but that those will not be sustainable any more than proprietary customer relations management systems were.
www.insurancejournal.com ... 2018
Artificial intelligence: Transforming the insurance industry
www.information-age.com/artificial ...
Deep Learning frameworks
Deep Learning frameworks
Google vs Apple vs Amazon/Facebook/Microsoft/ONNX
Battle of the Deep Learning frameworks — Part I: 2017
... At the moment, TensorFlow by Google seems to be the most used deep learning framework.
www.towardsdatascience.com/battle-of-the-deep ...
Open Neural Network Exchange (ONNX)
Amazon Web Services, Facebook and Microsoft
www.onnx.ai/news
www.github.com/onnx
Facebook and Microsoft announced ONNX
The Exchange makes it easier for machine learning developers to convert models between PyTorch and Caffe2.
... Apple’s CoreML for example helps developers convert a very limited number of models. At this point CoreML doesn’t even support TensorFlow.
www.techcrunch.com/2017/09/07 ...
Amazon joins Facebook and Microsoft in support of open-source AI platform
www.thenextweb.com/apple/2017/11/17 ...
News
Robohub
www.twitter.com/Robohub
The Robot Report
www.twitter.com/therobotreport
Robotics Business Review
www.roboticsbusinessreview.com
www.twitter.com/roboticbusiness
AI business
www.aibusiness.com
www.twitter.com/Business_AI
The Ai summit
wwwtheaisummit.com
Danmark
Public perspectives
www.publicperspectives.dk
B2C AI
Amazon AI
www.aws.amazon.com/machine-learning
www.twitter.com/awscloud
Facebook AI
www.facebook.ai
www.research.fb.com/category/facebook-ai ...
Facebook Artificial Intelligence Research (FAIR)
www.code.facebook.com/ai-research
www.facebook.com/Engineering
www.facebook.com/academics
www.research.fb.com
Google DeepMind
www.deepmind.com
www.twitter.com/deepmindai
www.en.wikipedia.org/wiki/DeepMind
Microsoft Research Labs
www.microsoft.com/en-us/research/lab ...
www.twitter.com/MSFTResearch
Humanoid robot
Business and AI
Lasse Rouhiainen
Keynote speaker on emerging technologies, social media and video marketing.
www.amazon.com/Lasse-Rouhiainen ...
www.twitter.com/lasseweb20
Artificial Intelligence: 101 Things You Must Know Today About Our Future
www.amazon.co.uk/Artificial-Intelligence ...
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
Steven Finlay. Amazon Media EU 2017.
... The focus is very much on practical application, and how to work with technical specialists (data scientists) to maximize the benefits of these technologies.
www.amazon.co.uk/Artificial-Intelligence-Machine ...
Microsoft AI
Microsoft Research Labs
Microsoft Creates New AI Lab to Take on Google's DeepMind
www.bloomberg.com/news/articles/2017-07 ...
Eric Horvitz, director of Microsoft Research Labs
www.twitter.com/erichorvitz
Videos about AI
The incredible inventions of intuitive AI
Maurice Conti - TEDTalk 2017
AI: From passive AI to Generative AI
www.youtube.com/watch ...
AI on Track to Achieving Superintelligence?
World Economic Forum: Center for the Fourth Industrial Revolution.
Professor Rita Singh shares how AI may shape our understanding of the past.
www.youtube.com/watch ...
www.weforum.org/centre-for-the-fourth ...
Next Generation Robots
Boston Dynamics, Asimo, Da Vinci, SoFi
www.youtube.com/watch ...
Risk society - AI
Future of Life Institute
Works to mitigate existential risk from advanced artificial intelligence (AI).
Its founders include MIT cosmologist Max Tegmark.
www.en.wikipedia.org/wiki/Future_of_Life_Institute
www.futureoflife.org/ai-news
Tegmark, Max 2017: Life 3.0: Being Human in the Age of Artificial Intelligence
Chapter 3: The near future.
www.books.google.dk/books/about ...
... what can be done to maximize the chances of a positive outcome ...
www.en.wikipedia.org/wiki/Life_3.0
Tegmark’s solutions to inevitable mass unemployment are a stretch ...
www.kirkusreviews.com ...
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
www.csail.mit.edu
www.twitter.com/MIT_CSAIL
www.en.wikipedia.org/wiki/MIT ...
DataRobot, Inc.
Become an AI-Driven Enterprise with Automated Machine Learning
DataRobot enables users to build and deploy machine learning models
www.datarobot.com
www.twitter.com/DataRobot
AI subjects
AI Chipsets
... Enter a suite of new processors found on an
SoC—“system on a chip.” Huawei, Apple, Alphabet,
IBM, NVIDIA, Intel and Qualcomm are all working
new systems architecture and SoCs,
Cognitive Computing
Cognitive computing systems use natural language processing and artificial intelligence in order to understand our intentions.
Nine big companies dominate AI
Alphabet, Amazon, Microsoft, IBM, Facebook and Apple in the US, along with Chinese behemoths Tencent, Baidu and Alibaba.
On the investment side, Intel Capital, Google
Ventures, GE Ventures, Samsung Ventures, Tencent
and In-Q-Tel lead.
Ambient Interfaces - Zero-UI
E.g.: Amazon Echo, Microsoft Kinect, ...
www.fastcodesign.com/3048 ...
www.uxpodcast.com ... andy-goodman
Future Today Institute
www.futuretodayinstitute.com
www.twitter.com/fti
www.twitter.com/amywebb
SuperIntelligence
Nick Bostrom’s SuperIntelligence
Review v/Andy Hines
A healthy fear of superintelligence
AI developmental pathway:
1st, task intelligence,
in which AI outperforms people in a single task. We are currently here.
2nd, general intelligence,
in which AI is as intelligent as people in a wide range of tasks.
This may be decades away ... or closer.
3rd, superintelligence,
in which AI is orders of magnitude more intelligent than people across-the-board
Timing
Decades away, right? Probably, but Bostrom posits the interesting scenario that the takeoff from general to superintelligence could happen very fast, on the order of days or weeks. That would mean essentially no time to prepare a world in which humans are no longer the smartest species on the planet.
Strawberry Fields scenario
Bostrom mentions a treacherous turn in which AI realizes at some points that humans are trying to limit it, and begins to conceal its behavior. And he talks about “perverse instantiation,” which basically includes the Strawberry Fields scenario that Musk has popularized.
Andy Hines
www.andyhinesight.com
www.twitter.com/futurist_ahines
What Elon Musk Really Thinks of Artificial Intelligence -- and Why You Should Care
... 2. Musk's fears of A.I. created tension with his friend, Google co-founder Larry Page. Musk targeted Google as the company most likely to let its A.I. get out of control. ... Many argue that Musk is creating a good-vs-evil storyline. By portraying his own companies as being on the good side, he'll have an easier time attracting talent for cheap.
www.inc.com/kevin-j-ryan/elon-musk ...
ELON MUSK’S BILLION-DOLLAR CRUSADE TO STOP THE A.I. APOCALYPSE
... Alphabet, could have perfectly good intentions but still “produce something evil by accident”—including, possibly, “a fleet of artificial intelligence-enhanced robots capable of destroying mankind.”
Strawberry fields scenario
Even robots with a seemingly benign task could indifferently harm us. “Let’s say you create a self-improving A.I. to pick strawberries,” Musk said, “and it gets better and better at picking strawberries and picks more and more and it is self-improving, so all it really wants to do is pick strawberries. So then it would have all the world be strawberry fields. Strawberry fields forever.” No room for human beings.
www.vanityfair.com/news/2017/03/elon-musk ...
Artificial Intelligence
Explainable Artificial Intelligence (XAI) - Mr. David Gunning
New machine-learning systems will have the ability to explain their rationale, characterize their strengths and weaknesses, and convey an understanding of how they will behave in the future.
www.darpa.mil/program/explainable-artificial-intelligence
AI Needs New Clichés - Molly Wright Steenson
The old ones aren’t helping, and the new ones are old.
www.medium.com/@maximolly/ai-needs-new-clich ...
AI in manufacturing
This $2 Billion AI Startup Aims to Teach Factory Robots to Think
Deep learning in manufacturing ...
www.medium.com/bloomberg/this-2-billion-ai-startup ...
We apply machine learning and deep learning to robotics and machine tools
Preferred Networks released open source deep learning framework Chainer v4
www.preferred-networks.jp/en
BRIDGE THE GAP BETWEEN ALGORITHMS AND IMPLEMENTATIONS OF DEEP LEARNING
www.chainer.org
AI development
DevOps tooling - data science toolkits
AutoML project is an approach made in order to automate the design of machine learning models. James Kobielus 2018.
www.techleer.com/articles/408 ...
Featuretools - Python library for automated feature engineering
An open source framework.
www.featuretools.com
www.twitter.com/featuretools_py
Big data's biggest secret: Hyperparameter tuning
... Open source projects such as the Fregata library are tackling the problem of tuning and executing regression models at massive scale
www.oreilly.com/ideas/big-datas ...
Synthetic (aka artificial) training data, will become the lifeblood of most AI projects. Solution providers will roll out sophisticated tools for creation of synthetic training data and the labels and annotations needed to use it for supervised learning.
The surge in robotics projects and autonomous edge analytics will spur solution providers to add strong reinforcement learning to their AI training suites.
AI solution providers will add collaborative learning to their neural-net training tools.
It will also be useful in for optimizing distributed AI architectures such as generative adversarial networks (GANs) in the IoT,
Transfer learning - knowledge transfer - inductive transfer - meta learning
Machine learning, once implemented, tends to be specific to the data and requirements of the task at hand. Transfer learning is the act of abstracting and reusing those smarts
www.infoworld.com/article/315 ...
References
James Kobielus 2018
www.datanami.com/2018/01/03/developers ...
James Kobielus
www.twitter.com/jameskobielus
Decision intelligence engineering
Why businesses fail at machine learning
Decision intelligence engineering
... the applied side is a very different discipline from the algorithms research side ... you need an interdisciplinary team.
www.hackernoon.com/why-businesses-fail ...
www.youtube.com/watch ...
www.hackernoon.com/@kozyrkov
www.twitter.com/quaesita
Open Source Machine Learning Libraries
Choosing an Open Source Machine Learning Library: TensorFlow, Theano, Torch, scikit-learn, Caffe
www.altexsoft.com/blog/datascience/choosing ...
Top 16 Open Source Deep Learning Libraries and Platforms
By all measures, TensorFlow is the undisputed leader.
Keras, Caffe, Microsoft Cognitive Toolkit, and PyTorch completing the top five.
www.kdnuggets.com/2018/04/top-16-open-source ...
Google Cloud
www.cloud.google.com
Machine learning research
www.ai.google/research
Stanford Vision and learning Lab
Computer vision and human vision
www.vision.stanford.edu
The blockchain-enabled intelligent IoT economy
The convergence of AI, blockchain, and IoT
www.medium.com ...