1. Vertical AI startups
2. How GE adopted AI in the enterprise
3. How AI can deliver real value to companies
4. When AI can transcribe everything
5. The art of the deal
6. US weighs restricting Chinese investment in AI
7. Inside Microsoft's AI comeback
8. Agitated? Your bot knows and wants to help.
9. Fighting extremism with AI
10. Guide to working in AI policy and strategy June 26,2017
Accelerating Deep Learning Research with the Tensor2Tensor Library
Google has released Tensor2Tensor (T2T), an open-source system for training deep learning models in TensorFlow. T2T facilitates the creation of state-of-the art models for a wide variety of ML applications, such as translation, parsing, image captioning and more, enabling the exploration of various ideas much faster than previously possible. June 19, 2017
THINK AI FOR PUBLIC SECTOR 2017
This conference should be attended by IT and policy decision makers throughout the public sector who want to understand more about the challenges and opportunities AI will bring, both in terms of technical deployment and political/societal governance. Date: Wednesday 20 September 2017 Venue: One Great George Street, Westminster, London SW1P 3AA
A New O’Reilly Artificial Intelligence Newsletter
AI news, insights from industry insiders
1. A (computational) linguistic farce in three acts
2. Teaching machines to draw
3. If you're not good at analytics, you're not ready for AI
4. What Amazon teaches us about AI
5. Apple's struggle to become an AI powerhouse
6. AI jobs for the next generation
7. Airborne AI
8. Can you help gather open speech data?
9. When AI makes us less human
10. We may trust robots. But they don't trust us.
A New O’Reilly Artificial Intelligence Newsletter
1. What's a machine learning engineer?
2. A year in Google Brain's residency
3. Hashing eliminates more than 95% of computations
4. 8 ways ML improves companies' work processes
5. 86% of healthcare companies are using AI
GANs for beginners
6. Reverse-engineering the human brain
7. Sweet 16 and ready to rock the world of AI
8. What wins AI competitions?
9. How to conquer 3 types of ML debt
10. AI will beat us at everything
A New O’Reilly Artificial Intelligence Newsletter
1. Google's new AI investment arm
2. Is China outsmarting America in AI?
3. The machine learning paradox
4. When will AI outperform humans?
5. The 10 most cited AI papers
6. Banks are eager for AI but slow to adopt
7. Constraints of communication
8. AlphaGo: How it works
9. Whose malpractice is it?
10. How machine learning infects our tastes
Artificial Intelligence Course with Sebastian Thrun and Peter Norvig: Udacity Course. June 03, 2017
Stanford professors Peter Norvig and Sebastian Thrun is offering their ever popular Introduction to AI for free on the internet. Norvig and Thrun, leaders in artificial intelligence, are using automated systems to help them at every level of the massive endeavor, from deciding which questions to answer to grading final exams.
Cera is building an AI for social care decision support
The startup has today taken the tiniest baby steps to launch an AI chatbot that it hopes will, at an unspecified point in future, be able to assist carers with recommendations for home care of people with conditions such as dementia. May 23,2017
"AI First" Microsoft Goes All In on Artificial Intelligence, Microsoft Build 2017 in 12 Minutes
How to Tell a Person’s “Brain Age”
Cole and his colleagues recently devised their own technique of predicting the biological age of people’s brains using a combination of machine learning and magnetic resonance imaging (MRI) scans.
New O'reily Artificial Intelligence Newsletter
Current issue of the newsletter is available at link. It is intended to be a subscription. By subscribing you might be able to see archived issues.
Geena Davis Inclusion Quotient
The Geena Davis Inclusion Quotient (GD-IQ) is a ground breaking software tool developed by the Geena Davis Institute on Gender in Media at Mount Saint Mary’s University to analyze audio and video media content.
Salesforce created an algorithm that automatically summarizes text using machine learning
This year, people are expected to spend more than half their day reading e-mail, articles, or posts on social media, and it’s only going to get worse. To help solve this problem, researchers at Salesforce have developed an algorithm that uses machine learning to produce “surprisingly coherent and accurate” summaries according toMIT Technology Review. May 15,2017
Machine Learning: An In-Depth Guide - Data Selection, Preparation, and Modeling
In this article, we will briefly introduce model performance concepts, and then focus on the following parts of the machine learning process: data selection, preprocessing, feature selection, model selection, and model tradeoff considerations. 02/08/2016
National Geographic’s New Six-Part Series YEAR MILLION Paints a Stunning Picture of Life in the Deep Future
Narrated by Laurence Fishburne, YEAR MILLION Unites the Brightest Scientific Minds, Including Ray Kurzweil, Michio Kaku, Peter Diamandis and Brian Greene With Sci-Fi/Pop-Culture Figures, Including Graphic Novelist Brian Michael Bendis, Nerdist Co-Host Matt Mira and Musician David Byrne
The Future is Coming Faster Than We Think: YEAR MILLION Premieres Monday, May 15, at 9/8c
How Artificial Intelligence Can Break a Business in Two Minutes
Reacting to false information or misinterpreting information could be catastrophic, especially if it (AI) doesn’t realise the information is a mistake. May 4, 2017
Robo-Pharmacist: This AI is Designing Structures for Futuristic Wonder Drugs
A team of MIT researchers led by Alán Aspuru-Guzik developed an artificial intelligence (AI) program that could change the way pharmaceutical research is conducted. Usually, drug development research relies on simulations that attempt to identify or predict useful molecular structures based on rules written by chemists for pools of candidate molecules. This approach is often limited by human involvement, the accuracy of available simulations, and required processing power.
How to Prepare for an Automated Future -- The New York Times
We don’t know how quickly machines will displace people’s jobs, or how many they’ll take, but we know it’s happening — not just to factory workers but also to money managers, dermatologists and retail workers. The logical response seems to be to educate people differently, so they’re prepared to work alongside the robots or do the jobs that machines can’t. But how to do that, and whether training can outpace automation, are open questions. May 5,2017
UC Berkeley Machine Learning Crash Course: Part 1
Machine learning (ML) has received a lot of attention recently, and not without good reason. It has already revolutionized fields from image recognition to healthcare to transportation. May 02, 2017
Here’s why more students should focus on artificial intelligence
Young people who are going to be leaving school and starting their tertiary education studies soon might be wondering what career paths they should focus on. And for anyone who is in touch with what is happening in the world and future technology trends, the answer should be obvious. Artificial intelligence. Literally changing the way our world operates, we’re all dealing with aspects of this tech daily and likely don’t even know it.
"Brain age" found to be a predictor of death
.... IC London researchers believe they have found yet another way to determine how well we're aging by combining MRI scans of the brain with machine-learning algorithms. April 27,2017
Lyrebird - an API for generating human voice
Lyrebird will offer an API to copy the voice of anyone. It will need as little as one minute of audio recording of a speaker to compute a unique key defining her/his voice. This key will then allow to generate anything from its corresponding voice. April 26,2017
Caffe2 A New Lightweight, Modular, and Scalable Deep Learning Framework
Caffe2 aims to provide an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and algorithms. April 20,2017
Caffe2 Deep Learning Framework
Caffe2 is a deep learning framework enabling simple and flexible deep learning. Built on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind, allowing for a more flexible way to organize computation. April 20,2017
The Skills You Need to Become a Data Scientist
Specializing in statistics, programming, business, and design sounds like a daunting task. But getting background in all these skills is incredibly rewarding because you can tackle the business questions that are racking the brains of your company’s senior leaders. March 1, 2017
Artificial intelligence: How to avoid racist algorithms
From BBC News April 16, 2017
"...many of the algorithms that make decisions about our lives - from what we see on the internet to how likely we are to become victims or instigators of crime - are trained on data sets that do not include a diverse range of people."
Suresh Venkatasubramanian states, "...bias, or skew, in decision-making will shift from things we recognise as human prejudice to things we no longer recognise and therefore cannot detect - because we will take the decision-making for granted."
Suresh Venkatasubramanian offers a number solutions:
*better and more diverse data sets with which to train the algorithm
*sharing best practice among software vendor
*building algorithms which explain their decision making
The Algorithmic Justice League (AJL) was launched by Joy Buolamwini, a postgraduate student at the Massachusetts Institute of Technology, to work to end algorithmic bias.
O'Reilly Artificial Intelligence Newsletter New O'Reilly Artificial Intelligence Newsletter
O'Reilly Artificial Intelligence Newsletter is available
1. How does IBM Watson search TED Talks?
2. Build a talking, face-recognizing doorbell for $100
3. What's Baidu up to?
4. AI won't replace lawyers. (Yet.)
5. Adapting ideas from neuroscience for AI
6. Petrificus Totalus!
7. "This kind of breakthrough could cause our species to go berserk."
8. Applications in AI
9. Naked Tensor
10. Intel creates AI products group
11. Simon says...
DeepMind Finds Way to Overcome AI’s Forgetfulness Problem
DeepMind, claims it overcame a key limitation affecting one of the most promising machine learning technologies: the software’s inability to remember. March 16,2017
There's a raging talent war for AI experts and its costing automakers millions
"The growth of demand is much faster than the rate of which we can produce people with PhDs or even master’s in this area," Yoshua Bengio, head of the Montreal Institute for Learning Algorithms, told Business Insider. "There’s just an explosion of interest from the industry... and it’s like a fire growing on the prairie." March 12, 2017
Conversational AI and the road ahead
Despite great strides in natural language processing (NLP) by data-driven approaches, natural language understanding remains elusive. The Winograd Schema Challenge is a recently proposed improvement on the Turing Test for assessing whether a machine can be judged “intelligent.” February 25, 2017 by Katherine Bailey (@katherinebailey)
We Are The Robots: Is the future of music artificial?
February 19, 2017
New NVIDIA® Jetson™ TX2
From Nvidia: The new NVIDIA® Jetson™ TX2 is a high-performance, low-power supercomputer on a module that provides extremely quick, accurate AI inferencing in everything from robots and drones to enterprise collaboration devices and intelligent cameras.
New O’Reilly Artificial Intelligence Newsletter
There is a new O’Reilly Artificial Intelligence Newsletter out. March 6,2017
Deep learning meets genome biology
Brendan Frey, a co-founder of Deep Genomics, talks about his work using machine learning to understand the genome and to realize new possibilities in genomic medicine. April 27,2016
The Rise of AI Makes Emotional Intelligence More Important
The booming growth of machine learning and artificial intelligence (AI), like most transformational technologies, is both exciting and scary. As machine learning continues to grow, we all need to develop new skills in order to differentiate ourselves. But which ones? FEBRUARY 15, 2017
Nvidia Shows Artificial Intelligence Revolution Is Biggest Trend Of Our Time
AI is increasingly being used in everything and everywhere, most notably data centers for machine learning, where Nvidia's GPUs have a tremendous lead over the competition......
Whatever happened to the DeepMind AI ethics board Google promised?
When the search giant bought the artificial intelligence company, part of the deal was setting up an ethics board. Three years on, where is it? Thursday 26 January 2017
'Partnership on AI' formed by Google, Facebook, Amazon, IBM and Microsoft
Two big Silicon Valley names are missing from the alliance, which aims to set societal and ethical best practice for artificial intelligence research Sept 28,2016
From the BBC Could robots be marking your homework? 14 December 2016