Andrew Ng speaks about the progress of AI, how to accelerate AI adoption, and what’s around the corner for AI at Amazon re:MARS 2019 in Las Vegas, Nevada.

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Co-chair of the Gates Foundation, Bill Gates sits down with AI4ALL alumni for a special conversation.

Understanding how society changes itself as it develops intelligence-extending technologies is key to recognising appropriate measures for both developing and regulating AI. In this talk Professor Joanna J Bryson roots “AI ethics” in the history and even prehistory of intelligent artefacts like language and writing, then describes the role of intelligence and communication in cooperation and competition. From here she looks at the political economy of distance-reducing technologies more generally, and information communication technologies, including AI in particular. Finally she makes concrete recommendations about what this implies about how we should incorporate AI technologies into our discourse, households, and laws. For more information about Joanna and her talk, and a podcast interview, see:

Harri Valpola (Curious AI): “Combining machine learning and reasoning tasks”
ML4MS 2019 Workshop, 6-10 May 2019, Aalto University, Finland

This Deep Learning tutorial covers all the essential Deep Learning frameworks that are necessary to build AI models. In this video, you will learn about the development of essential frameworks such as TensorFlow, Keras, PyTorch, Theano, etc. You will also understand the programming languages used to build the frameworks, the different companies that use these frameworks, the characteristics of these Deep Learning frameworks, and type of models that were built using these frameworks. Now, let us get started with understanding the different popular Deep Learning frameworks being used in industries.

Below are the different Deep Learning frameworks we’ll be discussing in this video:
1. TensorFlow (01:28)
2. Keras (02:54)
3. PyTorch (05:02)
4. Theano (06:30)
5. Deep Learning 4 Java (07:55)
6. Caffe (09:51)
7. Chainer (11:29)
8. Microsoft CNTK (13:48)

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Simplilearn’s Deep Learning course will transform you into an expert in deep learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research. With our deep learning course, you’ll master deep learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks and traverse layers of data abstraction to understand the power of data and prepare you for your new role as deep learning scientist.

Why Deep Learning?

It is one of the most popular software platforms used for deep learning and contains powerful tools to help you build and implement artificial neural networks.
Advancements in deep learning are being seen in smartphone applications, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change. With this Tensorflow course, you’ll build expertise in deep learning models, learn to operate TensorFlow to manage neural networks and interpret the results.

And according to, the median salary for engineers with deep learning skills tops $120,000 per year.

You can gain in-depth knowledge of Deep Learning by taking our Deep Learning certification training course. With Simplilearn’s Deep Learning course, you will prepare for a career as a Deep Learning engineer as you master concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Those who complete the course will be able to:

1. Understand the concepts of TensorFlow, its main functions, operations, and the execution pipeline
2. Implement deep learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before
3. Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces
4. Build deep learning models in TensorFlow and interpret the results
5. Understand the language and fundamental concepts of artificial neural networks
6. Troubleshoot and improve deep learning models
7. Build your own deep learning project
8. Differentiate between machine learning, deep learning and artificial intelligence

There is booming demand for skilled deep learning engineers across a wide range of industries, making this deep learning course with TensorFlow training well-suited for professionals at the intermediate to advanced level of experience. We recommend this deep learning online course particularly for the following professionals:

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Banjo CEO, Damien Patton Speaks on the Ethics of Artificial Intelligence and Protecting Data

Professor Christopher Manning, Stanford University & Margaret Mitchell, Google AI

Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)

To follow along with the course schedule and syllabus, visit:

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Dr. Geordie Rose, founder of D-Wave – the world’s first quantum computing company, and Kindred – the world’s first robotics company, returns to ideacity to share his theory of understanding minds and how that is applied to AI, with the understanding that “every thought that a human has ever thought resides inside our mind.“ This talk will make you think.

Geordie founded D-Wave, the world’s first quantum computing company, and Kindred, the world’s first robotics company to use reinforcement learning in a production environment. He has sold quantum computers and robots that learn to Google, NASA, Lockheed Martin, The Gap, and several US government agencies. He has a PhD in theoretical physics from UBC, was a two-time Canadian national wrestling champion, was the 2010 NAGA world champion in Brazilian Jiu-Jitsu in both gi and no-gi categories, was named the 2011 Canadian Innovator of the Year, was one of Foreign Policy Magazine’s 100 Leading Global Thinkers of 2013, and for a short time held the Guinness Book of World Records world record for the most yogurt eaten in one minute.

Part 2 –
Part 3 –

In the first of a four-part series, Yoshua Bengio opens his hour-long Keynote from October 2019 discussing the current state of Deep Learning and how Human-level AI capabilities have been worked toward in 2019.

Yoshua’s opening remarks proclaimed that there are principles giving rise to intelligence, both machine or animal, which can be described using the laws of physics. That is, that our intelligence is not gained through a big bag of tricks, but rather the use of mechanisms used to specifically acquire knowledge. Similar to the laws of physics, we should consider understanding the physical world, mostly by having figured out the laws of physics, not just by describing its consequences.

Join pioneers like Yoshua at RE•WORK events in 2020! See the full event listing here –

Can’t wait for the next section of Professor Bengio’s talk? You can see a high-level overview here –

Take a look into new Virtual Agent for Customer Service capabilities added during Business Applications April 2019 Launch that help you engage customers, empower employees, optimize operations, and transform products.

Visit to learn more and try Virtual Agent for Customer Service application today!

Pre-released product disclaimer: Some information relates to pre-released product which may be substantially modified before it’s commercially released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

AI Panel discussion – Artificial Intelligence Conference April 2019, Radisson Blu Gautrain Hotel, Sandton, 11 April 2019

PANEL DISCUSSION: How can you harness AI and improve real-time analytical processing to improve your customer offering

1. Dr Jacques Ludik – Group CEO & Founder, Cortex Logic; President & Founder of Machine Intelligence Institute of Africa (MIIA) (Moderator)

2. Gavin Meiring – Head of Marketing, Sanlam Global Investment Solutions

3. Sudhish Mohan- CIO & COO of TransUnion Africa

4. Neo Rantele Kuaho – CEO of YDIDI (Youth Development through Investigation & Dissemination of Information)

This AI Business Conference aims to help the business leader, data scientist and engineer successfully implement their AI projects. Get practical technical advice on technical sessions geared for Artificial Intelligence Businesses.

Panel of Experts around Java, AI and Enterprise Development:

Suyash Joshi (Moderator), Principal Developer Marketing Director, Oracle
Zoran Sevarac, Associate Professor, University of Belgrade, Faculty of Organisational Sciences
Frank Greco, Chairman, NYJavaSIG
Farhad Pagdiwala, Sr. Solutions Architect, NDC Technologies Inc.
Eyal Wirsansky, Application Developer, Black Knight

Professor Christopher Manning & PhD Candidate Abigail See, Stanford University

Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)

To follow along with the course schedule and syllabus, visit:

To get the latest news on Stanford’s upcoming professional programs in Artificial Intelligence, visit:

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As one of the world leaders in cyber tech, Israel hosted 2019 Cybertech in Tel Aviv, with Israeli Prime Minister Netanyahu making an appearance to speak about the industry developments and how they are being used against the country’s enemies.


Israel’s Prime Minister Benjamin Netanyahu that his country foils Iranian-directed cyber attacks against it ‘on a daily basis’ as he touted Israel’s cyber prowess at the CyberTech conference in Tel Aviv on Tuesday.

‘Iran attacks Israel on a daily basis. We monitor these attacks, we see these attacks, and we foil these attacks all the time,’ Netanyahu said.

‘Iran threatens us in many other ways. They issued in the last 24 hours threats that say they’ll destroy us, they’ll target our cities with missiles. We’re not oblivious to these threats. They don’t impress us. Because we know what out power is both in defense and in offense,’ he added.

‘But the important thing is that any country can be attacked today with cyber attacks and every country needs the combination of a national cyber defense effort and a robust cybersecurity industry. And I think Israel has that in ways that are in many ways unmatched.’

Netanyahu was speaking at the annual CyberTech conference in Tel Aviv, which drew thousands of cyber experts and firms from more than 80 countries for discussions on the latest trends in cyber and innovation.

Netanyahu touted Israel’s influence in the industry relative to its population, attributing it to investment in research and development and its leveraging of its national cyber defense efforts to boost private industry.

Israel is considered a world leader in cyber technology and innovation, exporting cybersecurity worth $3.8 billion in 2017 and is ranking among the top 10 percent in cyber academic research.

In the span of just a decade, Netanyahu said, the world’s top ten largest companies have all opened ‘major’ research and development centers in Israel, among them Apple, Google, Microsoft, Amazon, and Facebook.

‘Israel leads the world in investment in R&D as a percentage of [gross domestic product]…and has by far the highest percentage of R&D personnel,’ Netanyahu explained.

‘Cybersecurity is not merely here to stay, it’s going to grow exponentially,’ Netanyahu said.

‘I decided several years ago to turn Israel into one of the five cyber powers of the world and that required allowing this combination of military intelligence, academia, and industry to converge in one place. And where we’re doing that is in Beersheba in the south,’ Netanyahu said.

Beersheba, a city in the vast Negev desert of southern Israel, has experienced a rapid gentrification since the start of the decade fueled by the city’s ambition to become Israel’s cyber capital, especially since the creation of its cyber industrial park CyberSpark.

The two ultra-modern complexes house a dozen Israeli companies, start-ups, venture capital funds and foreign groups — such as Lockheed Martin, Deutsche Telekom, Oracle and IBM — which employ thousands technicians, engineers and researchers many of whom have studied at the computer sciences department of the local Ben Gurion University — part of a planned symbiosis between the university and the company.

Last year, the Israel Innovation Authority, the Ministry of Economy and Industry, and the National Cyber Directorate announced a dedicated program to strengthen the country’s cyber industry with an investment of NIS 90 million over the next three years.

A significant portion of the investment has been earmarked for further enhancing Beersheba’s CyberSpark hub.

How to avoid AI hiring AI recruiting BIAS?
4 ways to avoid discriminating AI hiring?
AI Recruiting Trends in 2019
Algorithm hiring causes AI Hiring Bias

Artificial intelligence for Everyone.

Everything about Applied Artificial Intelligence, Machine Learning in real world.

Mind Data Intelligence is Brian Ka Chan – Applied AI Strategist, Technology/Data/Analytics Executive, ex-Oracle Architect, ex-SAP Specialist. “Artificial intelligence for Everyone” is my vision about the channel. And it will also include fintech, smart cities, and all latest cutting edge technologies.

The goal of the channel to sharing AI & Machine Learning knowledge, expand common sense, and demystify AI Myths. We want everyone from all level of walks to understand Artificial Intelligence.

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AI Strategy Leader Brian Ka Chan is also the author of “Taming Artificial Intelligence: Mind-as-a-Service: The Actionable Human-Centric AI Evolution Blueprint for Individuals, Business”

In less than two days of effort, TruGreen was able to create and deploy a Virtual Agent for routine inquiries without writing a single line of code. See how TruGreen used Power Virtual Agent and Power Automate to reduce their costs and get near real-time information on their business.​ Learn more:

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Keynote by Joscha Bach (AI Foundation) at 1E9 THE_CONFERENCE on July 11th 2019 in Munich.

Today’s AI research is highly successful in automating statistics. It becomes increasingly similar to intelligence, when we understand it as the ability to create models. But how can machines become sentient, and make sense of themselves, and their relationship to the world? This question relates to how our own minds work, and how we can make sense of our own nature. Beyond giving us more powerful and autonomous tools, AI may well turn out the most productive perspective on what it means to be a mind.

Artificial Intelligence Robots Development Until 2019 – Machine Learning Robot Ep. 06
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1. Ibuki

2. Carl

3. Pepper

4. Romeo

5. Sophia

6. Meltant

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About the talk
There have been a handful of discussions around the impact of artificial intelligence and machine learning on the Documentarian. Will it replace the work we do, supplement it, or present us with new opportunities and tools? In this presentation, I survey the landscape and provide an overview of the present and potential future of technical writing alongside our artificial overlords. I will look at tips and tricks for writing for conversational interfaces, and the opportunities for our community. I will show prototypes of integrating a growing number of tools for building bots on top of existing documentation and ponder in which contexts they might be useful, and if they are worth it. I will look at tools that help us write and manage knowledge better, and wonder who is in control of who? I will look at the traditional academic areas of linguistics, how NLP sits alongside them, and how documentarians can sit perfectly in the middle.

Our Speaker
Chris Ward is a Contract Technical Writer at Gregarious Mammal, Germany. Former musician, dabbled in development for a few years, now passionate about good technical content and developer experience. Also enthusiastic about interactive fiction, games, and more.

Video by:

All tools can be used for both good and evil—but artificial intelligence has taken the concept to another level. What must companies do to harness its potential without harming their customers?
Dario Gil, Director, IBM Research
Richard Socher, Chief Scientist, Salesforce
Moderator: Andrew Nusca, FORTUNE

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FORTUNE is a global leader in business journalism with a worldwide circulation of more than 1 million and a readership of nearly 5 million, with major franchises including the FORTUNE 500 and the FORTUNE 100 Best Companies to Work For. FORTUNE Live Media extends the brand’s mission into live settings, hosting a wide range of annual conferences, including the FORTUNE Global Forum.


Check out 10 of the most awesome Artificial Intelligence (AI) startups in India
We focus on a diverse field of AI startups, including startups from Healthcare, Logistics, FinTech, among others
Any AI startup we missed? Let us know in the comments!

Write to us at:

Conversational AI Startups:
2. Avaamo

Healthcare Startups
1. Niramai
2. Doxper

Logistics Startups
1. LogiNext

Fintech Startups
1. Rubique
2. LendingKart

Other Awesome AI Startups
1. CropIn
Chatbots are ubiquitous these days. From businesses to the research lab, they have become an integral part of an organization’s strategy. Learning how to create a chatbot from scratch is a much-vaunted skill in data science.

Avaamo is another conversational startup that is currently serving six industries: Insurance, Financial Services, Healthcare, Telecommunications, Retail.

Founded in 2014, Avaamo has created a name for itself in around 40 countries now. Pretty impressive!

This AI startup will resonate with a lot of you. Healthcare is one domain where AI needs to make its mark. Progress has been slow due to various reasons but things have been looking promising in the last couple of years.

NIRAMAI stands for “Non-Invasive Risk Assessment with Machine Intelligence”. In Sanskrit, Niramai means being free from illness. It is a novel breast cancer screening solution

Doxper is another Indian AI startup working in the healthcare sector.

Have you ever seen hospital records? Keeping the records of patients is a hectic task – it is truly a formidable function. Doxper helps in simplifying the way healthcare data is recorded.

AI has left no stone untouched. It has found its niche in almost every sector, even the previously gigantic and manual logistics field. There are quite a few AI-powered logistics startups springing up and LogiNext is definitely among the leaders right now.
Another logistics startup in the list is Locus. Started back in 2015, the company provides facilities like route planning and optimizing, real-time fleet tracking, insights and analytics, and automated shipment sorting and rider allocation.

AI in finance just intuitively makes sense. Finance is all about number crunching (well, almost!) and machines are well equipped at this point to work with numbers. It is a perfect match. So it’s no surprise that the FinTech sector has seen a massive surge in AI applications.

LendingKart is another brilliant startup tackling the financial sector by providing loans to small businesses. Spread over 1300+ cities, LendingKart is on its way to becoming one of the leading FinTech companies in the world. Here’s their official statement:

The agriculture sector is synonymous with Indian values. It is an integral part of this country and what we are all about. So what can AI do to accelerate progress in this field? CropIn, a Bengaluru-based startup, provides a glimpse into the future of agriculture.
Imagine an AI helping you perform online transactions end-to-end. Sounds too futurustic to be true. But here’s the good news – it’s already here!


Kitty Hawk Corporation CEO and Udacity co-founder Sebastian Thrun speaks on ‘Artificial Intelligence – Friend or Foe?’ at Day 2 of the ET Global Business Summit 2019 in New Delhi Saturday. Watch now.

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From AI to mobility, we asked leading figures at the Goldman Sachs Disruptive Technology Symposium in London what they see as the next big technology trend of the future. Learn More

Oded: “Decision-making is an important role in most businesses in the last decade. More and more tools based on artificial intelligence and machine learning are introduced to support these decisions.
The artificial intelligence and machine learning one-day program is designed for senior executives and for corporate decision makers who already invested or consider to invest in artificial intelligence and machine learning software.”

Fabrizio: “For the professional success of managers and competitive advantage of companies the interaction between human decision-making and machine learning is going to be crucial in the future and this day will keep you with all the knowledge required to prosper and benefit.”

Oded: “The format of a day AI and machine learning one day program is a mix of lectures, introduction for theories, discussion of applications and discussion of case studies. It will be done by experts from academia and by practitioners who are coming from array of industries with huge experience.
The benefits of managers for completing their artificial intelligence and machine learning program is their better understanding of their artificial intelligence and machine learning analytical tools. These tools are designed to support decisions.”

Fabrizio: “This program is designed for both multinational global corporates as well as smaller fast growing disruptors in multiple industries. As a result of the cost of these technologies dramatically reducing it is now economical feasible for big and smaller companies to leverage them for their own benefit.”

Oded: “There is sometimes a gap between what managers think they can generate from it from what actually is generated from these tools.”

Fabrizio: “Senior executives after attending this program will be able to manage digital transformations in a much more effective way because they will be able to tell the difference between just collecting data a few hundred pounds month of cost to managing large digital transformation projects at the few hundred thousand pounds of millions of pounds a month and this program will enable them to understand what to do, how and when.”

Excerpts of Bill Gates remarks on AI as being both promising and dangerous. It was at the Human-Centered Artficial Inteligence Symposium that took place at Stanford University on March 18, 2019.
For the whole video of the Symposium go to:

In this panel discussion at the Webit.Festival, one of the largest technology events in Europe, Dr. Ben Goertzel (CEO & Co-Founder SingularityNET), Jesus Mantas (Managing Partner & GM IBM Business Consulting), and author Leah Hunter discuss the possible beneficial and harmful consequences of AI – and what steps can be taken to ensure that the technology is benevolent for all.

To learn more about SingularityNET, please visit:


SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol.

We gathered the leading minds in machine learning and blockchain to democratize access to AI technology. Now anyone can take advantage of a global network of AI algorithms, services, and agents.


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00:00:00 Introduction
00:01:49 Installing Python 3
00:06:10 Your First Python Program
00:08:11 How Python Code Gets Executed
00:11:24 How Long It Takes To Learn Python
00:13:03 Variables
00:18:21 Receiving Input
00:22:16 Python Cheat Sheet
00:22:46 Type Conversion
00:29:31 Strings
00:37:36 Formatted Strings
00:40:50 String Methods
00:48:33 Arithmetic Operations
00:51:33 Operator Precedence
00:55:04 Math Functions
00:58:17 If Statements
01:06:32 Logical Operators
01:11:25 Comparison Operators
01:16:17 Weight Converter Program
01:20:43 While Loops
01:24:07 Building a Guessing Game
01:30:51 Building the Car Game
01:41:48 For Loops
01:47:46 Nested Loops
01:55:50 Lists
02:01:45 2D Lists
02:05:11 My Complete Python Course
02:06:00 List Methods
02:13:25 Tuples
02:15:34 Unpacking
02:18:21 Dictionaries
02:26:21 Emoji Converter
02:30:31 Functions
02:35:21 Parameters
02:39:24 Keyword Arguments
02:44:45 Return Statement
02:48:55 Creating a Reusable Function
02:53:42 Exceptions
02:59:14 Comments
03:01:46 Classes
03:07:46 Constructors
03:14:41 Inheritance
03:19:33 Modules
03:30:12 Packages
03:36:22 Generating Random Values
03:44:37 Working with Directories
03:50:47 Pypi and Pip
03:55:34 Project 1: Automation with Python
04:10:22 Project 2: Machine Learning with Python
04:58:37 Project 3: Building a Website with Django

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Closing Keynote with California Governor Gavin Newsom – 2019 Human-Centered Artificial Intelligence Institute Symposium

Suchi Saria, the John C. Malone Assistant Professor of computer science, statistics and health policy at Johns Hopkins University spoke at the 2019 Future of Individualized Medicine conference, hosted by the Scripps Research Translational Institute. Saria discussed her research in applying machine learning approaches to individualizing healthcare.

2018 has been an eventful year for AI to say the least! We’ve seen advances in generative models, the AlphaGo victory, several data breach scandals, and so much more. I’m going to briefly review AI in 2018 before giving 10 predictions on where the space is going in 2019. Prepare yourself, my predictions range from more Kubernetes infused ML pipelines to the first business use case of generative modeling of 3D worlds. Happy New Year and enjoy!

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