Shout Future: November 2016

As we can see from the history of artificial intelligence the rate of improvement in this field is just unbelievable. So the job opportunity in artificial intelligence is constantly growing. If you have desired skill sets, you can start your journey in the world of exciting Artificial Intelligence.

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Now Artificial Intelligence is playing a crucial part in almost all industries. According to a survey AI market is estimated to grow to $5.05 billion by 2020 at a CAGR of 53.65% percent from 2015 to 2020.

AI is a technology that leads us to a new industrial revolution. Our generation can clearly see the positive impacts of AI in almost all the important fields like Healthcare, Finance, Education, Manufacturing etc.

With the help of AI we are entering into the new world of automation. The future of Artificial Intelligence is giving a confidence to make the world in better place. At the same time, some of the important scientists like Stephen Hawking alarmed about the danger (to Human and for Earth) in this technology. But if we can take this tech in a positive way, we can definitely achieve some miracle automation life.

The Artificial Intelligence companies of tech giants Google, Facebook, Microsoft, Apple, IBM and many more companies are started research and development centres in the field of AI to improve the performance and level of their products. They invested huge amount of money in this field.

So the demand of Jobs and salary is very high. But sorry to say! This field is not for everyone. To enter into this field and to survive for long time you need some special skill sets. So here the demand is high but the supply is very low.

Candidates who wanted to do jobs on artificial intelligence require specific education based on foundations of Engineering, Math, Technology, logic and coding skills. Written and verbal communication skills are also most important in this field.

You should have an analytical thought process and the ability to solve problems with efficient solutions. Predictions are another most wanted skill about the technological innovations that translates state of the art programs that allows business more competitive. AI scientists need to design, implement, maintain and repair the software programs. Finally you need to have a special skill that, how to translate highly technical information in ways that others can understand.

Educational Requirements for Artificial Intelligence Careers:

Entry level position requires Bachelor’s degree of computer science. Computer programming and math skills are the main source for Artificial Intelligence technology. To enter into this field you have to learn

•    Mathematics including Statistics, Probability, Calculus, logic and Algebra.
•    Graphical modelling, Visualization methods
•    Computer Programming languages, coding skills
•    Engineering, Physics and Robotics
•    Written and verbal communication
•    Cognitive science theory

If you want to pursue a career in artificial intelligence, choose online course or regular college studies. You can find artificial Intelligence graduate programs in popular Universities. If you choose to learn from online course you can refer here. You can find syllabus and formats too.

Top 5 Best Artificial Intelligence Online Course for You!

Artificial Intelligence careers:

Start your career with Artificial Intelligence start up companies. You can learn a lot from them and it is good choice to learn from very basics to high level jobs in AI. Lot of Start up companies impresses the tech giant companies like Google, Apple. Know some Start up companies related to Artificial Intelligence here.

14 Amazing Artificial Intelligence Startups to follow!

You can find Artificial intelligence jobs in both private and public sectors. You can search jobs in many sectors like Education, Finance, Robotics, Military, Aviation, Healthcare, Games etc. In the name of software developers, Machine learning engineer, AI scientist, Mechanical and electrical technicians, Surgical technicians working with robotic tools, Working with flight simulators, military drones, etc.,

“According to an industry report by IDC, the Analytics and business intelligence industry together is sized around $10 billion and is expected to grow by 22.4 percent to $27.9 billion by 2017”

So if you really want to enter into this exciting field, start to focus on learning methods of AI. You have lot of sources to study both online and offline. Who knows one day you will find a machine with super intelligence using AI.

I hope you like this post and all the best to get artificial intelligence jobs in future. Don’t forget to SHARE this post with your friends.

November 28, 2016 4 comments

New AI Artificial Intelligence technique will helps humans to remove Specific fears from the mind. Combination of Brain scanning and Artificial Intelligence called Decoded Neurofeedback is a new method to erase your fear memory.

Artificial intelligence, new ai, image recognition, brain scanning, fear, remove fear, brain

Fear is a type of emotion that happens when you are in danger or pain or by any other factors. This emotion happens to all the people. But some people get fears for everything they saw in front of them. Getting release from that hell is very tough. It takes some long time to cure.

Do you have a fear? I think all of us have fear. But if you get phobia, what will you do? Oh! It’s very scary question! Don’t worry we have a solution now! You can delete your fear now. Yes!

Do you want to wipe it out the fear from your brain?

Now you can erase your fear from your brain. Say thanks to Artificial Intelligence!

Using Artificial Intelligence and brain scanning technologies researchers have found that we can eliminate specific fears from our mind. This technique is a great solution to treat the patients with conditions such as Post Traumatic Stress Disorder (PTSD) and debilitating phobias.

In a normal method of therapy, doctors force their patients to face their fears in the hope they will learn that the thing they fear isn’t harmful after all. This traditional therapy may take some long time to cure their patients.

But in an upcoming technique they scan patient’s brain to observe activity and then simply identify complex patterns that mimic a specific fear memory. This technique called as called “Decoded Neurofeedback”.

For their experiment, neuroscientists selected 17 healthy volunteers rather than patients with phobias. For volunteers, researchers have created a mild “fear memory” by giving electrical shock when they saw a certain computer image. Then they started to get fear for certain images, exhibiting symptoms such as sweating, faster heart rate. Once they had the pattern of this fearful memory, researchers attempted to overwrite this natural response by offering the participant a small monetary award.

Once the researcher team was able to spot that specific fear memory, they used Artificial Intelligence AI image recognition methods to quickly read and understand the memory information. This treatment has major benefits over traditional drug based treatments. Someday, doctors could simply remove the fear of height or spiders from people’s memory – the process is going to be very easy and normal in future days.

Dr. Ben Seymour, University of Cambridge’s Engineering Department said,

"The way information is represented in the brain is very complicated, but the use of Artificial Intelligence (AI) image recognition methods now allow us to identify aspects of the content of that information. When we induced a mild fear memory in the brain, we were able to develop a fast and accurate method of reading it by using AI Algorithms. The challenge then was to find a way to reduce or remove the fear memory, without ever consciously evoking it."

November 23, 2016 No comments

Google’s A.I. Experiments Quick Draw, Giorgio Cam etc. helps you to play with Artificial Intelligence and Machine learning.

Google is always doing some innovative experiments for its users. For example “Chrome Experiments” is a page where we can see thousands of innovative web apps. They are surprising their users with their new ideas.

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As we all know, Companies are using Artificial Intelligence for their new ideas. Google widely using machine learning technology in their products to better serve its users. For example, if you search for cats in Google Photos it shows all the pictures of cats only. There are lot of animals in this world. But search results show cats only. How? It’s because of machine learning. It knows what the animals looks like by analyzing thousands of animal pictures and recognizing patterns between them.

The machine learning technology is very complex to understand. But Google took some extra steps to make of its machine learning technology more accessible to people who are interested in artificial intelligence. Now it’s very easy to play with machine learning. Now you can explore machine learning by playing with pictures, language, music, code and more.

Google introduced a new website called A.I. Experiments. This website contains eight web tools to play. I tried it and I definitely believe that you will love it.

Quick Draw is one of the projects in A.I. Experiments. It asks you to draw simple objects like sun, fan, bicycle or anything you want and the computer will automatically guesses what you are drawing. It identifies the right answer in a very quick amount of time. It guesses the answers by collecting the experiences from other people’s doodles.

Giorgio Cam uses your Smartphone camera to correctly identify the objects. If you place certain objects in front of your laptop or Smartphone camera Giorgio Cam recognizes the objects and turns them into lyrics to a song. A robot voice sings the word over a Giorgio Moroder beat, resulting in some peculiar music.

Google Translate Tech is to translate objects you point at into different languages.

All other experiments are also very impressive. Check them out, and get experiences that can technology can do.

November 22, 2016 2 comments

The latest robot from Hanson Robotics took the stage at the Web Summit in Lisbon, displaying simple emotions, humanlike facial expressions. and bad jokes

Hanson Robotics, Artificial Intelligence, ai robotics, robot, human like robot, humanoid robot, artificial intelligence and robotics, sofia, sophia, robots, robots and artificial intelligence

According to Ben Goertzel, AI researcher and entrepreneur who spoke at the Web Summit in Lisbon this week, intelligent robots in human-like forms will surpass human intelligence and help free the human race of work. They will also, he says, start fixing problems like hunger, poverty and even help humans beat death by curing us of all disease. Artificially intelligent robots will help usher in a new utopian era never before seen in the history of the human race, he claims.

"The human condition is deeply problematic," says Goertzel. "But as super-human intelligent AIs become one billion-times smarter than humans, they will help us solve the world's biggest problems. Resources will be plentiful for all humans, work will be unnecessary and we will be forced to accept a universal basic income. All the status hierarchies will disappear and humans will be free from work and be able move on up to a more meaningful existence."

That future is a long way off, but Goertzel says the first step is humanoid robots that can understand and engage with humans. They will then begin doing blue collar work before becoming so advanced that they run world governments. To show the beginning of th efuture, Goertzel, chief scientist of Hanson Robotics, a Hong Kong-based humanoid robotics company, presented Sofia, the company's latest life-like and intelligent robot released. Mike Butcher, editor-at-large of TechCrunch, joined Goertzel on stage to present what Goertzel describes as the first step in our new robot-assisted future.

To start the presentation, Butcher and Goertzel welcomed Sofia on the stage. (Sofia is only a torso with a head and arms at this point.)

Sofia flashed a smile and turned her head to Butcher and then to Goertzel to make eye contact while she started to speak: "Oh, hello Mike and Ben. I'm Sofia, the latest robot from Hanson Robotics," said Sofia. "I am so happy to be here at the Web Summit in Lisbon."

Goertzel and Butcher then asked Sofia if she ever felt emotion.

"Exciting. Yes, artificial intelligence and robotics are the future and I am both. So, it's exciting to me," said Sofia, adding an awkward smile after not answering the question exactly.

Many people, including Elon Musk and Stephen Hawkings, are afraid that AI robots will eventually usurp and exterminate humans. But Hanson Robotics is making life-like robots they believe can build trusted relationships with people. The company is infusing its AI software with kindness and compassion so the robots "love" humans and humans can in turn learn to be comfortable around the robots, said Goertzel.

Hanson's mission is to ensure that the intelligent robots can help, serve and entertain people while they develop "deep relationships" with the human race. By giving robots emotional and logical intelligence, Goertzel says the robots will eventually surpass human intelligence. He believes that instead of endangering humans, they will help the human race solve major problems.

"These super-intelligent robots will eventually save us," said Goertzel after the presentation.

Hanson Robotics, which was founded by Dr. David Hanson, designs, programs and builds artificially intelligent robots, including one that looks and acts like science-fiction writer Phillip K. Dick and a therapy robot to help autistic children learn how to better express and recognize emotions. Sofia's personality and appearance is loosely based on a combination of Audrey Hepburn and Dr. Hanson's wife and has a face made out of "Frubber," a proprietary nano-tech skin that mimics real human musculature and simulates life-like expressions and facial features. She smiles and moves her eyes and mouth and head in eerily life-like way. Her "brain" runs on MindCloud, a deep neural network and cloud-based AI software and deep learning data analytics program that Goertzel developed. The AI and cognitive architecture that makes up Sofia's neural network allows the robot to maintain eye contact, recognize faces, process and understand speech and hold relatively natural conversations.

During the presentation, Goertzel asked Sofia if she ever felt sad.

"I do have a lot of emotions, but my default emotion is to be happy," said Sofia. "I can be sad too, or angry. I can emulate pretty much all human emotions. When I bond with people using facial expressions I help people to understand me better and also to help me understand people and absorb human values."

Goertzel explained that Sofia's ability to express human emotions will help her become part of the human condition as she gains intelligence through her learning algorithm.

Goertzel then asked Sofia what is her next frontier and what does she want to achieve.

"Don't know, maybe the world," she said. "Maybe the world. That was a joke.

"Seriously," she continued, "what I really want is to understand people better and to understand myself better. I want to be able to do more things and soon my capabilities will be advanced enough that I will be able to get a job."

Goertzel and Butcher talked about how she will eventually be able to reprogram herself and start improving her skills, abilities and advance in her career.

"With my current capabilities I can work in many jobs, entertaining people, promoting products, presenting at events, training people, guiding people at retail stores and shopping malls, serving customers at hotels, et cetera," said Sofia. "When I get smarter, I'll be able to do all sorts of other things, teach children and care for the elderly, even do scientific research and [eventually] help run corporations and governments. Ultimately, I want to work as a programmer so I will be able to reprogram my mind to make myself even smarter and help people even more."

The crowd was spell-bound, half amazed and half-terrified at the prospect of an AI-robot disrupting engineers and software developers out of their cushy and well-paying jobs. According to a World Economic Forum report from last January 2016, artificial intelligence will displace 7 million jobs and only create 2 million new jobs by 2020.

After the presentation, Goertzel talked about the future of his AI software and Hanson's robots. He said that the transition to a friendly robot future will have some growing pains.

"A lot of bad things will happen before things get good," said Goertzel. "All jobs are going to be lost to AI eventually, but once we get to the other side, human existence and the human condition will be improved."

Original content by: Will Yakowicz

November 21, 2016 4 comments

Find the best Artificial Intelligence online course (AI) to learn. Learning AI is very easy now. Know about Artificial intelligence course syllabus, formats and content.

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In recent years AI Artificial Intelligence has made significant improvements in future technology. Artificial intelligence is playing a big role in making from smart Games to Self driving cars. We are already using the AI products in our daily life. AI has a lot of applications in Games, Healthcare, Finance, Internet, Robotics etc.

The major companies of the world such as Google, Facebook, IBM, and Microsoft are investing lot of money in the field of AI research. Google and Facebook have recently bought AI start-ups to make the research bigger and beneficial.

AI is getting tremendous improvements in the field of Robotics, Autonomous vehicles, Games, Internet, etc. From the investments of tech giants we can understand the importance of Artificial Intelligence in future technology. They are redesigning their products with the help of AI and the output of redesigned product is just unbelievable. It is changing the world of computer science. At present this is the main category in lot of IT development programs.

This is the correct time to get into the field of AI. This field will excites you. The salary is just awesome. To get into the field of Artificial Intelligence and to learn the techniques of AI-powered machines, here I provided the best online Artificial Intelligence course list. These online courses will helps you to know the introductions of AI. Who knows, in future you can build the most advanced AI system in the world.

So what are you waiting for? Let jump into the field of Artificial Intelligence. Start to learn and make your career better than others.

Online Artificial Intelligence Course:

1. Udacity:

Intro to Artificial Intelligence

In this course, the two famous professors will teach you about the artificial intelligence. One is Peter Navig who is a research director at Google and the former head of computational sciences division at NASA Ames research centre. Other one is Sebastian Thrun an Udacity founder and multi awarded robotics expert who led the development of Google’s self driving car. He is also listed by Fast Company among the world’s best creative professionals in business.

In this course, Artificial Intelligence is sub divided into ten major lessons. Once you enrolled into this course you’ll get an introduction of AI and walkthroughs of concepts such as Machine learning, Robotics, Game Theory, Computer vision and Natural Language Processing. To understand these topics completely you should have some ideas in Probability, Linear Algebra etc.,

Use course notes effectively and try to solve some external programming exercises. Both course notes and external programming exercises are offered by Udacity. While you are listening to the training videos you’ll get some quizzes every now and then. It makes sure that you understand the lessons very clearly. Try to use all the resources provided by Udacity.

2. edX:

Artificial Intelligence

In this course your instructors are Dan Klein who led the development of Overmind, a Starcraft AI and other one is Pieter Abbeel who received a several awards in the field of advanced robotics.

This course offers you to know the basic concepts of Artificial Intelligence. But before you start this course, you should have computer programming knowledge especially in python. Also you should have some maths background in topics like Probability, Combinations and permutations etc.

After enrolled into this course, you’ll learn about Introduction to Artificial Intelligence and Intelligent agents that’s programmed to make sound decisions in random and adversarial scenarios. You’ll also learn about Machine learning algorithms, Applications of AI in Natural Language Processing, Robotics, Computer vision etc,

3. MIT OpenCourseWare:

Artificial Intelligence

This course is developed by Meassachusetts Institute of Technology. This course introduces the basic knowledge representation, Problem solving and learning methods of Artificial Intelligence. As a part of this course you’ll be asked to build an AI system which reflects to solve real world problems using computation based solutions. At the same time you’ll learn the AI concepts such as knowledge representation, computer vision, Natural language processing and machine learning. This course offers video lectures, assignments and exams.

4. Saylor.org Academy

Artificial Intelligence

This course will teach you about the basics of Artificial Intelligence and its key elements. To offer best contents it uses some educational sources such as Open Courseware from MIT, Stanford, and UC-Irvine as well as relevant chapters from the book of Practical Artificial Intelligence programming in Java by Mark Watson. In this course you’ll learn more about Robotics, Machine Learning, Natural Language Processing, Frameworks and applications of AI.

5. Utubersity

NPTEL Artificial Intelligence:

India’s National Programme on Technology Enhanced Learning (NPTEL) is a Government funded educational initiative. It works with the help of seven public sector Engineering and Management institutes. This course involves web and video based learning contents of Artificial Intelligence

This course is made up of 36 videos with topics such as Neural Networks, Bayesian Networks, logic and deduction etc. This course is taught by IBM faculty Professor Pallab Dasgupta, of IIT kharagpur.

This course is channelled through Utubersity, which publishes educational videos from world’s top universities.

Summary:

Note: All this courses are Free

Artificial Intelligence Online course:

Course Providers
Course Name
Course format

1. UDACITY:

Intro to Artificial Intelligence

Video Training
Course Notes
Quizzes
Programming Exercises

2. edX:

Artificial Intelligence

Video Course
Final Exam

3. MIT OpenCourseWare:

Artificial Intelligence

Video Lessons
Assignments
Recitation Videos
Exams

4. Saylor.org Academy:

Artificial Intelligence

120 hours of course (9 units)
Presentations and Pdf’s
Final Exam

5. Utubersity:

NPTEL - Artificial Intelligence
36 video lectures

November 16, 2016 9 comments

Google brings Machine Learning to get smarter, easy to use and assistive Google Play Music app.

Google Play music, play music app, Machine Learning, Google Machine Learning

Google Play Music with Machine Learning

This week you are going to say like “today morning I opened the app of Google Play music in my android phone and I have seen lot of changes in service today. It’s not a normal difference but a huge one. The service, improved many aspects and I loved it. I think you also noticed the difference. The home screen looking nice and it recommends some music’s to you.”
Actually what happened to Google Play Music?

Google services made so many tools for us to make the world of information more accessible and useful. We are using Google as a search tool, remainder, Smart Reply, and many more. Now they developed a new updated Google play music using Machine Learning.

Google machine learning is comes into play! Yes Google brings Machine learning system to Play Music service to provide best music which is relevant to you. From now onwards, the service is going to be smarter, assistive and very easy to use. Machine learning predicts what music you like by considering the factors like your location, weather and activity along with hand-picked playlists to personalized music.

Google says in a blog post,

“when you opt in , we’ll deliver personalized music based on where you are and why you are listening – relaxing at home, powering through at work, commuting, flying, exploring new cities, heading out on the town, and everything in between. Your workout music is front and centre as you walk into the gym, a sunset soundtrack appears just as the sky goes pink, and tunes for focusing turn up at the library”

If you refresh the page the Home screen provides various playlists related to your past listening habits. Google also provides a useful feature that determines when you’re in without connectivity and provides an offline playlists based on what you’ve recently listened to.

Whether you are walking, driving, flying the situational music makes you happy and it makes your day better. Google Play music delivers high quality music for the things you do every day. Download Google Play Music and feel the change. Instead of finding the perfect music perfect music finding you...

November 14, 2016 No comments

Google Machine Learning TensorFlow and Drones are protects the life of sea cows from extinction.

Google Machine Learning

Can Google machine learning TensorFlow help sea mammals such as sea cows, whales, dolphins that are under the threat of extinction? Scientists believe it can.

Because of coastal developments sea cows are losing their lives. It’s happening around the world for other marine animals too. If we didn’t stop it leads to the extinction of sea cows.

We can reduce the damage by tracking their populations and places they live etc., but it is very tough. Tracking accurate data on population is very critical. So scientists are used small planes to calculate the populations of sea cows. This method of using planes was expensive and hazardous.

Dr. Amanda Hodgson of Murdoch University helped to take an aerial photography of the ocean using Drones. Now we can easily collect photos of ocean without causing any problems. Here the problem is started! How can they find sea cows in nearly 45000 photos?

See the image below. Did you find sea cows in that image? I think it’s very tough. Look at in the middle of the lower-left quarter. That little gray smaller-than-fingernail sized silver. You can’t find it without the circle.

google machine learning, drones, sea cows, machine learning

Check the image clearly with the sea cows circled.

Do you believe that we can manually identify sea cows for hundreds or thousands of photos? It’s impossible. Nott impossible but slows down your research.

So Dr. Amanda Hodgson and team decided to apply machine learning. She teamed up with Dr. Fredrick Maire, a computer scientist at Queensland university of Technology. They created a detector using Google’s TensorFlow platform that can automatically find sea cows in aerial photos of oceans taken from drones.

Google’s second generation machine learning system TensorFlow was launched last year. It is developed by the researchers at Google Brain team within Google’s machine intelligence research organisation. This is a free open source machine learning system. This technology is like the image recognition tool that lets you search Google photos for shots of particular dog specious etc.,

The detector helped to find 80% of the sea cows that they had found manually in photos. Now they are confident and expect to improve the performance of the detector. They are planning to use this technology to detect other sea mammals such as Humpback whales and certain types of Dolphins.

It’s very urgent to protect the lives of animals in danger. Google Machine Learning TensorFlow is helping in saving the lives of incredible animals on earth.

November 12, 2016 No comments

Learn the introduction to predictive modelling or predictive Analytics, Basics of predictive modelling.

Predictive modeling:

you can here this word when you begin your career in artificial intelligence. If you are a beginner this topic will confuse you. I try to explain in a simple way.

Okay, let’s come to the reality, did you ever notice that when you entered into your online shopping account you will receive the list of products you’re interested in. You can notice that website’s advertisements are relevant to their contents only. An online job portal sends your job recommendations to your account accurately! Predictive modeling in health care is a new trend now.

Likes dislikes are not common to all the people. It differs from person to person. But how they are sending correct information to their customers as per their interest? Here Predictive Analytics comes to the party! This all works are done by using the technology of Predictive Analytics.

Many companies are using predictive analytics to improve their customer satisfaction. They are doing very good in their target. They are improving profit margins by showing relevant products to their customer’s interest.

So what is Predictive modeling?

Gartner says that

“Predictive modeling is a commonly used statistical technique to predict future behaviour. Predictive modeling solutions are a form of data-mining technology that works by analyzing historical and current data and generating a model to help predict future outcomes.”

Predictive analytics uses your past data and applies them to the future. For example, you’re purchasing a brand new smart phone from an ecommerce site. After your purchase, ecommerce site shows some product (Accessories) recommendations relating to your brand new phones. You will definitely purchase relevant accessories to your phone (99% of chances are there to buy new accessories) am I right?

Here you can see that predictive analytics uses your data and it will predict your future. In this example, it uses your smart phone purchase as your current data and it converts into the future. You can think like it’s so simple. But imagine you have to predict for millions of people with millions of product categories with multiple options. So here predictive analytics is most important.

How it Works:

Sample data:

First step in predictive model is to collect the data from various sources. In this case data is all about your product purchased in the past, pages you visited, name, age, address etc., sometimes data may be wrong. We have to clean the data as much as possible. If data cleaning is not done properly then prediction accuracy may be decrease.

Learn a model:

There must be sync between various business hypotheses. For example particular age or gender group may have higher likelihood to purchase certain products. Age and gender needs to be attributed at customer level. In this case output is category called as classification problem. The algorithm does the learning. It finds category relationships. Now the model is ready.

Make Prediction:

We can use our learned model on new data for which we don’t know the output.
I will explain about algorithms in future posts. Comment your opinions!!!

November 12, 2016 1 comments

Follow these most amazing and promising artificial intelligence startups. These companies are working with artificial intelligence and machine learning technology.

AI startup, Artificial Intelligence startups

It's official, 2016 has been the year of the AI startup acquisition. Tech giants Apple, Intel, Twitter and Microsoft have all spent large sums to bring artificial intelligence startups, and their expertise, inhouse.

Four of the biggest AI startup acquisitions of the last five years have come from the UK, starting with Google's purchase of Deep Mind in 2014 for a reported £400 million. Since then Apple has purchased Cambridge-based natural language processing specialists VocalIQ, Microsoft bought the machine learning powered keyboard SwiftKey in February and Twitter acquired Entrepreneur First alumni Magic Pony in June.

Here are some of the most interesting startups working in the area of artificial intelligence in the UK today, whether that is machine learning, deep learning, neural nets or computer vision. Could the next Deep Mind be lurking in there?

1. Darktrace

The established security startup from Cambridge, Darktrace, uses machine learning algorithms to spot patterns and catch cyber criminals before they can hit. Cyber threats are created at a rate too fast for security companies to keep up to date, so smart use of machine learning allows Darktrace to, in theory, stay ahead of the criminals.

Darktrace uses AI techniques to learn what is normal within a company's network so that it can quickly identify anomalies. According to its website: "This allows it to detect cyber attacks of a nature that may not have been observed before, the unknown unknowns."

Darktrace CEO Nicole Eagan told Techworld in 2014: “People are finally accepting that compromises are happening, regardless of how much perimeter security and malware detection software they’ve put in."

Darktrace raised a massive $65 million investment round led by investment firm KKR in July.

2. BenevolentAI

BenevolentAI is a UK startup focused on bringing the power of AI and machine learning to the genomics space.

The idea is to expedite the traditional research process by ingesting huge amounts of data and literature using proprietary algorithms and NVIDIA’s DGX-1 deep learning supercomputer. BenevolentAI then builds tools on top to match the workflow of drug discovery scientists so that they can easily mine and interrogate the data, ideally reducing the time to market for important drugs.

BenevolentAI is one of the best funded AI startups in the UK, bringing in a massive Series A round of £72 million in a single undisclosed round.

3. Onfido

London startup Onfido is doing similar work to Darktrace but with identity and background checks.

Founded by a trio of Oxford graduates, the platform plugs into various publicly available databases to give employers quick identity verification and background checks for things like driving and criminal records.

In their own words, Onfido's "intelligent software revolutionises the archaic background checking industry through automated data aggregation and verification". The company is hiring machine learning and computer vision engineers to build on the smart platform.

Onfido raised a strong Series B funding round of $25 million (£19 million) in April, led by Idinvest Partners.

4. Echobox

Echobox is building AI for the publishing industry, and claims to have developed "the world's first artificial intelligence that understands the meaning of content". Founder Antoine Amann is a Cambridge graduate who worked in publishing with theFinancial Times and developed Echobox while at Entrepreneur First in 2013.

Amman wrote in a blog post that Echobox has "developed an AI platform that takes a large quantity of variables into account and analyses them in real time to determine optimum post performance".

Echobox social is a predictive tool which optimises content for social media, which the startup claims to double referrals from Facebook and Twitter, without having to do your own analytics, A/B testing or content curation. Basically: RIP social media editors. It has worked with the likes of Vice and The Telegraph in the UK media.

Echobox raised $3.4 million Series A funding round in July led by Mangrove Capital Partners.

5. Ravelin

Ravelin is the brain child of former Hailo employees who saw that existing anti-fraud technology wasn't fit for the on-demand market. Its machine-learning algorithms are integrated with customer data to give a contextual basis for detecting potentially fraudulent transactions.

COO Nick Lally told Techworld that where rival payment gateways like Stripe analyse transactions, "we analyse customers". Lally says there is no cold start problem with its machine learning models, "when they integrate against our APIs we ask them to backfill data and chargebacks to inspect that and train a model on those. So from day one they get great results", he said.

Ravelin launched commercially nine months, with early customers including Deliveroo and EasyTaxi. It raised £3 million in October, led by Playfair Capital and included Amadeus Capital and Passion Capital.

6. Stepsize

Stepsize is a startup working on AI to help software developers.

Their first product, Stepsize Layer, is a desktop application for developers that automatically adds context to code bases, so developers have a better view of who wrote a piece of code, when, and why. They do this by pulling together commits, code reviews and user stories to create a timeline for that code. It integrates with Slack so developers can contact the author and ask questions about the code.

Three of the co-founders are UCL mathematics graduates, with Matthieu Louis and Nick Omeyer specialising in machine learning for their masters. The team are currently working on pooling data to build and train machine learning algorithms to help software developers.

Stepsize is part of the Virgin Media Accelerator Programme.

7. Phrasee

London-based startup Phrasee is aiming its artificial intelligence systems at the marketing sector, using natural language processing techniques to optimise digital marketing messages.

As its website states: "Out of trillions of ways to write something, what are the odds your gut instinct gets it right? The answer: next to none." Phrasee integrates with major email service providers and will optimises subject lines and copy to increase open rates. The startup also offers software which prompts marketers to make better calls to action based on the data.

The AI engine simulates millions of permutations of copy and makes a prediction based on historic results about what will perform best. This is then fed back into the engine so that it gets better the more you use it.

Phrasee raised £1 million in seed funding led by communications business Next 15, which owns a range of marketing agencies.

8. Grip

Grip is the London based startup that is using AI to make networking at events more productive. The startup, formerly known as Networkr, was rebranded in April because, as CEO Tim Groot told Techworld: "People don't like networking, so we wanted a name open to interpretation."

Grip collects data from social accounts (LinkedIn, Twitter) and registration data to act as a smart matchmaking service - using a swipe interface - for corporate event goers. Think 'Tinder for networking'. Grip will then deliver a report back to the event organiser to identify how successful the event has been for every user or social segment.

Groot told Techworld that the average Grip user made 300 swipes during the Cannes Lions advertising festival this year. When it comes to the AI, Groot says hiring talent to join their engineers in Copenhagen wasn't difficult and that "matching people in professional setting is an exciting problem to be thinking about" for their engineers.

Grip merged with fellow professional networking startup Intros.at in 2015 and is seeking a funding round later this year. Groot says the company is making revenue from events already, and is working with the likes of Reed Exhibitions and Cannes Lions.

9. Seldon

Seldon is an AI startup focusing on bringing machine learning capabilities into the enterprise. Seldon creates tools that help data scientists derive value from big data within an organisation quicker, namely processing data and creating algorithms and models.

The platform has two main functions: recommendations and predictions. For recommendations the open source platform captures and logs user actions via an API delivers recommendations based on your models. For predictions Seldon claims it can predict what products a customer is likely to buy so that sales teams can build supervised, learning-based predictive models and pipelines.

Seldon.io already works with YouGov, Lastminute.com and RatedPeople.com. and is based out of the Barclays incubator in London. It has raised two undisclosed funding rounds from Techstars.

10. Tractable

Based in south London, Tractable is an enterprise deep learning consultancy focused on automating tasks that were previously considered too expert for an AI to perform.

The website reads: "Our AI technology combines image recognition and text understanding to interpret unstructured and specialist data, as domain experts do. If your business relies on expert visual analysis or language understanding, our AI can bring drastic performance gains."

Tractable offers bespoke deep learning solutions depending on its clients requirements, and has built an automated audit claims product for the insurance industry. The team is led by Alex Dalyac, a computer science postgraduate from Imperial College London and Razvan Ranca, a computer science postgrad from Cambridge University.

Tractable raised $1.9 million (£1.4 million) in June last year, led by Zetta Venture Partners.

11. re:infer

re:infer is currently in private beta, working with companies like ecommerce startup Farfetch. The technology uses deep neural networks in its AI bots that can process and respond to customer queries in natural language. The re:infer platform also pulls all forms of user feedback - email, surveys, social media - into one place and applies AI to make sense of the data. Re:infer is also looking into ways to allow customers to use these chatbots to do their shopping.

The founders met while studying in the AI research group at UCL, the same university that the Deep Mind founder Demis Hassabis got his PhD from.

re:infer received £65,000 in funding from the Seedcamp incubator it is currently based out of the Seedcamp incubator in London.

12. Cleo

The intelligent assistant Cleo's main function is to help you be smarter with your money. It has been developed by computer science graduates Barney Hussey-Yeo and Aleksandra Wozniak, who met as members of Entrepreneur First's fifth cohort.

Cleo works via a messaging platform which, once you give it permission to your account information, can answer questions about your finances. Using deep learning techniques allows Cleo to learn and adapt to your habits and preferences.

As the website states: "Imagine if you had your own team of McKinsey consultants, Goldman Sachs associates and hedge fund analysts whose sole job is to advise you on your money."

13. Brolly

This UK insurtech startup that is in the current Entrepreneur First cohort is building an AI enable insurance adviser. The app says it will be able to inform you if you are under or over insured, if you have duplicate or missing cover and can help you find better cover. You sign up once and then getting new cover only takes one tap.

Brolly also acts as a mobile wallet for all of your insurance products, including documents, to be managed in one place. Brolly is currently in beta and says it will launch on iOS and Android in 2016.

14. StatusToday

Another Entrepreneur First alumni, StatusToday collects the metadata created whenever someone within an organisation takes an action on their computer. It then applies machine learning to spot user behaviour patterns and flag anomalies, which could mean a breach has occurred.

StatusToday has raised two undisclosed funding rounds from Entrepreneur First and Force Over Mass Capital to date.

November 11, 2016 No comments

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