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AI & Machine Learning News. 30, April 2018

NVIDIA’s DL Model can Complete the Missing Parts in a Photo with Incredible Results!

Imagine you’re given half a photo and asked to fill in the other half. Even with the variety of software in the market, producing realistic results would be a tall order.

Researchers at NVIDIA have unveiled a state-of-the-art deep learning model that can edit images and also reconstruct incomplete ones. It can “understand” the image and fill in missing pixels. The method behind this algorithm is being called “image inpainting”

2018-04-29 22:32:30+05:30 Read the full story.

CloudQuant Thoughts: This one keeps developing and popping up mainly because its results are so amazing and provide an immediately understandable visual representation of the power of ML.

World’s Biggest Autonomous Driving Stock Getting Ready to Break Out

The world’s biggest autonomous driving stock isn’t a big automaker like Ford Motor Co. (F) , a tech company like Uber, or even a company somewhere in between like Tesla Inc. (TSLA)

Instead, the company with arguably the biggest exposure to autonomous driving technology right now is none other than chipmaker Nvidia Corp. (NVDA) .

That’s because Nvidia’s chips touch pretty much every major autonomous driving program on the planet right now.

2018-04-27 14:17:33-04:00 Read the full story.

CloudQuant Thoughts: Three years ago NVidia was $20, it is now $220.. I think that means it has already “broken out”!

A Comprehensive Guide to Understand and Implement Text Classification in Python

One of the widely used natural language processing task in different business problems is “Text Classification”. The goal of text classification is to automatically classify the text documents into one or more defined categories.

2018-04-23 08:33:51+05:30 Read the full story.

CloudQuant Thoughts: The advantage of using Sentiment data from outside vendors is that they have already done all the work and have resolved many of the issues. However, there is always a role for getting an edge by classifying using your own code, understanding exactly how it works and knowing exactly what changes have been made over time.

Machine learning algorithms can help police sweep the dark web

The dark web (also known as the deep, invisible and hidden web) with its veil of anonymity has been associated with crimes such as drug dealing, child pornography and credit card fraud.

This dire reputation is difficult to confirm through research, as criminal sites can only be accessed legally by law enforcement officers conducting an investigation.

But a recent study led by Monash University PhD candidate Janis Dalins – who also happens to be an Australian Federal Police (AFP) officer – has been able to shed light on the actual activity going on in the dark web’s shadowy realms.

2018-04-26 16:22:37-04:00 Read the full story.

CloudQuant Thoughts: If the definition of the Dark Web is those servers not listed on web search engines and the Police only have access to those they know about then quoting a figure like 40% seems a little spurious.

China is monitoring employees’ brain waves and emotions — and the technology boosted one company’s profits by $417 million

Chinese businesses and the military are monitoring employees’ brain activity and emotions.

The “emotional surveillance technology” helps employers identify mood shifts so they can change break times, an employee’s task, or even send them home.

The technology reportedly increases productivity and profitability, with one company claiming its profits jumped by $US315 million (AU$417 million).

2018-04-30 17:43:24+10:00 Read the full story.

CloudQuant Thoughts: This is terrifying!

Volkswagen in talks to manage Didi fleet, co-develop self-driving cars

Volkswagen AG, the world’s biggest automaker, is in talks to form a joint venture with China’s Didi Chuxing to manage part of the ride-hailing company’s fleet of cars and help develop “purpose-built” vehicles for Didi’s services.

As part of the deal between Volkswagen and China’s biggest ride-hailing service, expected to be signed early next month, the German automaker will initially manage a fleet of about 100,000 new vehicles for Didi, of which two-thirds will be Volkswagen Group cars, said a senior executive at the carmaker.

2018-04-30 11:16:59+00:00 Read the full story.

CloudQuant Thoughts: VW who have continued to struggle in the shadow of Dieselgate are looking to big data and China to get back ahead of the competition.

DeepCode Analyzes and Cleans your Code with the Help of Machine Learning

DeepCode is a tool that goes through your code and suggests improvements and finds hidden bugs. The machine learning model behind the system was trained on a corpus of 250,000 rules

The tool currently supports Python, JavaScript and Java.

2018-04-27 12:24:26+05:30 Read the full story.

CloudQuant Thoughts: Having programmed in multiple languages I have some hard-coded routines in my brain that are hard to break… I welcome our AI programming overlords.

 

Facial recognition may be coming to a police body camera near you

The country’s biggest seller of police body cameras on Thursday convened a corporate board devoted to the ethics and expansion of artificial intelligence, a major new step toward offering controversial facial-recognition technology to police forces nationwide.

Axon, the maker of Taser electroshock weapons and the wearable body cameras now used by most major American city police departments, has voiced interest in pursuing face recognition for its body-worn cameras. The technology could allow officers to scan and recognize the faces of potentially everyone they see while on patrol. A growing number of surveillance firms and tech start-ups are racing to integrate face recognition and other AI capabilities into real-time video.

2018-04-26 00:00:00 Read the full story.

CloudQuant Thoughts: Axon, the former “Taser International” provides over half the body cams to US police forces.

Google co-founder Sergey Brin lays out the many ways the company uses A.I. today

Alphabet just published its annual Founders’ Letter and this year, co-founder Sergey Brin uses it to outline how the company is using artificial intelligence and to highlight the benefits and risks of this “technology renaissance.”

While Google CEO Sundar Pichai and other top brass have been mentioning the idea of being an “AI-first” company for years, Brin’s letter provides both explicit and broad ways that the company is using artificial intelligence every day.

He highlights that the company employs it to:

  • understand images in Google Photos;
  • enable Waymo cars to recognize and distinguish objects safely;
  • significantly improve sound and camera quality in our hardware;
  • understand and produce speech for Google Home;
  • translate over 100 languages in Google Translate;
  • caption over a billion videos in 10 languages on YouTube;
  • improve the efficiency of our data centers;
  • suggest short replies to emails;
  • help doctors diagnose diseases, such as diabetic retinopathy;
  • discover new planetary systems;
  • create better neural networks (AutoML);

2018-04-27 00:00:00 Read the full story.

CloudQuant Thoughts: That is a comprehensive list and Google/Alphabet certainly seem to be out in front in the AI/ML environment in the US.

 


Below the Fold…

Google has Released TensorFlow 1.8.0!

The team behind TensorFlow has unveiled TensorFlow 1.8.0, just a week after the Release candidate version

Numerous exciting features introduced and various bugs fixed for tf.data, tf.keras and Eager Execution

Many other miscellaneous changes made, read on to find out

2018-04-29 11:23:41+05:30 Read the full story.

 

Swiftapply – A Python Package for Efficient and Superfast use of Pandas ‘apply’ Function

Time is of the absolute essence when you’re working on a machine learning project. You don’t want to be waiting around for pandas to finish it’s loop before you can proceed with your model building, do you? But this is exactly what happens in most cases.

When you use the ‘apply’ function in python, it lets you apply any function you specify on the pandas dataframe. But as pointed out so well in this article, the apply function is basically a for loop and it takes it’s own sweet time to run.
2018-04-24 10:56:12+05:30 Read the full story.

 

Machine Learning Trends According to SAP Study

Machine learning is the hottest trend right now in the big data space. Nearly half (48 percent) of the companies who say they have already benefited from machine learning cite increased profitability as the top benefit they have realized, according to a new study from SAP.

2018-04-25 00:00:00 Read the full story.

 

Web Scraping, Regular Expressions, and Data Visualization: Doing it all in Python

While most data used in classes and textbooks just appears ready-to-use in a clean format, in reality, the world does not play so nice.

Getting data usually means getting our hands dirty, in this case pulling (also known as scraping) data from the web. Python has great tools for doing this, namely the requests library for retrieving content from a webpage, and bs4 (BeautifulSoup) for extracting the relevant information.

2018-04-28 20:27:28.247000+00:00 Read the full story.

 

What Does it Mean to Be a Senior Data Scientist?

My job title is ‘Senior Data Scientist’ and I often joke I’ve no idea what that means.

This post is partly for myself and based on various peoples conversations – it is also inspired by On Being a Senior Engineer. I’m trying to answer questions like ‘what do we expect from a Senior Data Scientist’.

2018-04-23 12:00:00+00:00 Read the full story.

 

This is what I really do as a Data Scientist – Towards Data Science

Data Science is getting very popular and many people are trying to jump into the bandwagon, and this is GREAT. But many assume that data science, machine learning, plug any other buzzword here, is to plug data to some Sckit-Learn libraries. Here is what the actual job is.

To bring you into context, the following is happening after the data was collected. Don’t get me wrong, I don’t think it should be considered a simple step, but I would like to focus on data pre-processing and normalization.

2018-04-27 14:09:36+00:00 Read the full story.

 

Exclusive Interview with Kris Longmore

Kris Longmore is the founder of the online systematic trading community RobotWealth.com whose mission is to provide DIY traders with the support and the knowledge that can be found in a professional trading setting. Kris Longmore left behind a ten-year engineering career to tackle the world of finance and trading. Over the years that followed, he became a hedge fund quant and later consulted to some of Asia-Pacific’s biggest fund managers…
2018-04-27 14:54:15+00:00 Read the full story.

 

Who Took the Fun Out of Fund Management? These Three

Artificial intelligence, machine learning and big data are creating “an arms race to add new weapons to tackle the ETF problem,” according to Luke Ellis, the chief executive officer of Man Group Plc, the world’s biggest publicly traded hedge fund.

At the start of the previous decade, before the financial crisis, starting a hedge fund was relatively easy. Now, the costs associated with increased regulation make it much more expensive. The rise of the robots raises the barriers to entry even further.

The hedge-fund gang doesn’t expect machines to take over; but players who can’t afford access to the latest technology as collaborators won’t be able to keep up. And the competition for talented programmers, data analysts and other technologically-savvy workers is only headed in one direction.

2018-04-27 10:16:01-04:00 Read the full story.

 

Tableau Prep – Redefine Data Cleaning with Tableau

Major time-consuming operations can now be done with one-click and drag-and-drop functions

  • Tableau Prep redefines the way you do data preparation
  • The tool reduces the struggle of common tasks, like joins, pivots, unions, etc.
  • Major time-consuming operations can now be done with one-click and drag-and-drop functions

If you’ve been in data science long enough, you will have heard the popular line – “people spend 80% of their time prepping data and only 20% of their time analyzing it”. And as more and more data sources become available, dealing with dirty data becomes more time consuming and challenging. It is one of the most tedious and repetitive processes in a data scientist’s job.

2018-04-26 17:36:05+05:30 Read the full story.

 

Cognitive Computing Journey—Begins With Data Management

The impact of cognitive computing technologies—including artificial intelligence (AI) and machine learning (ML)—is increasingly being felt in data centers and database operations of all sizes, across all industries. A recent survey of 1,000 executives published by Infosys found that AI and related cognitive technologies are no longer just experiments conducted by computer or data scientists—they are part of a real-world technology wave that is already showing tangible business results. Eighty-six percent of respondents, in fact, reported that their organizations have “middle” or “late-stage” AI deployments, and view it as a key technology for future business initiatives going forward. Nearly three-fourths also stated that AI is already helping to transform the way their organizations do business.

2018-04-25 00:00:00 Read the full story.

 

Applitools raises $31M to advance visual AI

Applitools developed a Visual AI Engine that mimics the human eye and brain in a reliable and scalable fashion. Applitools Eyes, the company’s Automated Visual AI Testing and Monitoring Platform, leverages a data set of UI validations and “achieves 99.999 percent accuracy, i.e. less than 10 false detections in a million comparisons.” The company’s AI engine continues to evolve through machine learning by analyzing millions of new images on a daily basis.

2018-04-24 00:00:00 Read the full story.

 

Digital wealth management startup Exo brings AI-powered investing to the masses

Digital wealth management startup Exo Investing is launching in the UK, promising to give private investors access to the sophisticated AI-powered technology that until now has been the preserve of institutional and ultra high net worth clients.

The company says that it acts as an expert ‘investment co-pilot’, using AI to build investors a personal ETF portfolio aro…
2018-04-30 01:00:00 Read the full story.

 

Geek of the Week: In tech’s big picture, Google Clips UX researcher Eva Snee focuses on the user

Eva Snee works on a gadget that many folks may not even be aware of yet, Google Clips, the small camera designed to capture more spontaneous images in people’s lives.

Most important technology of 2016: “Machine learning and how it’s showing up in people’s lives. Its applications continue to expand, and people encounter machine learning technology many times throughout their day whether they realize it or not.”

Most important technology of 2018: “I see machine learning showing up in more places, and people having higher expectations for what it can do and how it should fit into their lives.”

2018-04-27 19:42:49-07:00 Read the full story.

 

How to build AI culture: go through the curve of enlightenment

Have an idea for a product?

Hypothesis > Build MVP > Validate hypothesis. Get through the whole loop (one iteration) as fast as possible.

The product-building world finally saw the writing on the wall. Speed matters. Speed of iterations matter.

2018-04-28 14:59:14.905000+00:00 Read the full story.

 

Revealed: how bookies use AI to keep gamblers hooked

Artificial intelligence is being used to predict behaviour in ‘frightening new ways’ despite condemnation from MPs and campaigners

The gambling industry is increasingly using artificial intelligence to predict consumer habits and personalise promotions to keep gamblers hooked, industry insiders have revealed.

Current and former gambling industry employees have described how people’s betting habits are scrutinised and modelled to manipulate th…
2018-04-30 00:00:00 Read the full story.

 

Why you should talk to your children about Cambridge Analytica

Former Cambridge Analytica employee Christopher Wylie blew the whistle last month. He revealed the data analytics agency harvested Facebook data from more than 50 million individual profiles, matched these with electoral rolls, and then devised an algorithm that can use this data to predict and influence voting behaviours.

It seems it’s a powerful political tool. It reportedly played a role in swaying the Brexit vote towards a “leave” outcome in the UK and sweeping Donald Trump into power in the US.

2018-04-27 15:00:03+10:00 Read the full story.

 

Google’s Sergey Brin warns of AI threats through a ‘technology renaissance’

OH LOOK IT’S ANOTHER WARNING about the threat artificial intelligence (AI) poses to humanity, only this time coming from Google co-founder Sergey Brin.

Despite his company ploughing shed loads of effort into developing smart software and AIs in the form of the Google Assistant and DeepMind’s tech, Brin noted in Google’s annual ‘Founders’ Letter’ that AI has created a “technology renaissance” that brings with it a load of threats.

2018-04-30 11:56:00+01:00 Read the full story.

 

AI Weekly: Dystopian visions of AI are distractions from present problems

Writing about AI for an appreciable amount of time is, in my experience, enough to make any reasonable person concerned about the future of humanity. But I worry the focus of that concern is too often directed at the relatively distant future, which could lead to unforeseen consequences in the present.

Headlines from the past few months illuminate how bad things can get.

2018-04-27 00:00:00 Read the full story.

 

IBM and IFTTT Bring Together AI and Automation for IoT

IBM is bringing its enterprise artificial intelligence assistant to IFTTT, paving the way for intelligent services that can do much more than tell users the weather or answer trivia questions, the companies announced on April 26.

Watson Assistant, formerly Watson Conversation, made its official debut on March 20 during IBM’s Think 2018 conference in Las Vegas. In addition to new analytics capabilities and features that allow developers to create mor…
2018-04-26 00:00:00 Read the full story.

 

Mitsubishi to create dedicated AI unit

Mitsubishi UFJ is to consolidate its disparate artificial intelligence development programmes, moving R&D away from distinct business departments to a new AI Studio (M-AIS) within its Japan Digital Design subsidiary.

Hitherto, MUFG has been developing AI services while maintaining the individual resources within each group company and department. The bank says M-AIS will concentrate these assets, combining them with resources from outside MUFG Group, to accelerate …
2018-04-27 11:06:00 Read the full story.

 


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