DevSecOps, Machine Learning and Beyond: How IT Security is Changing

DevSecOps, Machine Learning and Beyond: How IT Security is Changing

Cybersecurity threats are changing, and so are the tools and strategies available for combating them. If you want to keep infrastructure and software secure, you need to familiarize yourself with concepts like machine learning and their role in IT security. Today's security threats are wildly different from those of the past.

Cybersecurity threats are changing, and so are the tools and strategies available for combating them. If you want to keep infrastructure and software secure, you need to familiarize yourself with concepts like machine learning and their role in IT security. Today's security threats are wildly different from those of the past.

Google strikes several hospital partnerships for machine learning research

Google strikes several hospital partnerships for machine learning research

Google announced expanded partnerships with three blue-chip academic medical centers this past week, where bioinformaticians will explore how its machine learning technology can be deployed in clinical settings to mine EHR data for improved outcomes.

Google announced expanded partnerships with three blue-chip academic medical centers this past week, where bioinformaticians will explore how its machine learning technology can be deployed in clinical settings to mine EHR data for improved outcomes.

Demystifying machine learning

Demystifying machine learning

In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed." No, wait - Did I just type "1959?" Yes, true! Machine learning, which is a branch of artificial intelligence (AI), has been around a while, but the technology has made enormous strides ...

In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed." No, wait - Did I just type "1959?" Yes, true! Machine learning, which is a branch of artificial intelligence (AI), has been around a while, but the technology has made enormous strides ...

Network-sniffing, automation, machine learning: How to get better threat intel

Network-sniffing, automation, machine learning: How to get better threat intel

IT teams can get away with poor service management, outdated software development methods and outdated apps running on legacy tin, but they might want to think twice before skimping on cybersecurity. If you don't stay on top of this stuff, while you might not be found out today or tomorrow, eventually, your customers' personal details might just turn up on Pastebin.

IT teams can get away with poor service management, outdated software development methods and outdated apps running on legacy tin, but they might want to think twice before skimping on cybersecurity. If you don't stay on top of this stuff, while you might not be found out today or tomorrow, eventually, your customers' personal details might just turn up on Pastebin.

Network-sniffing, automation, machine learning: How to get better threat intel

Network-sniffing, automation, machine learning: How to get better threat intel

IT teams can get away with poor service management, outdated software development methods and outdated apps running on legacy tin, but they might want to think twice before skimping on cybersecurity. If you don't stay on top of this stuff, while you might not be found out today or tomorrow, eventually, your customers' personal details might just turn up on Pastebin.

IT teams can get away with poor service management, outdated software development methods and outdated apps running on legacy tin, but they might want to think twice before skimping on cybersecurity. If you don't stay on top of this stuff, while you might not be found out today or tomorrow, eventually, your customers' personal details might just turn up on Pastebin.

AMD's game plan to become a machine learning giant

AMD's game plan to become a machine learning giant

Right now, the market for GPUs for use in machine learning is essentially a market of one: Nvidia. AMD, the only other major discrete GPU vendor of consequence, holds around 30 percent of the market for total GPU sales compared to Nvidia's 70 percent. For machine-learning work, though, Nvidia's lead is near-total.

Right now, the market for GPUs for use in machine learning is essentially a market of one: Nvidia. AMD, the only other major discrete GPU vendor of consequence, holds around 30 percent of the market for total GPU sales compared to Nvidia's 70 percent. For machine-learning work, though, Nvidia's lead is near-total.

Google is using machine learning to make ads even more personal across platforms

Google is using machine learning to make ads even more personal across platforms

Google has a new tool to better personalize ads and analyze their success: Machine learning. This technology represents a growing trend for advertisers that will shape successful campaigns into the future, according to a Tuesday blog post by Sridhar Ramaswamy, Google's senior vice president of ads and commerce, published ahead of the Google Marketing Next event in San Francisco.

Google has a new tool to better personalize ads and analyze their success: Machine learning. This technology represents a growing trend for advertisers that will shape successful campaigns into the future, according to a Tuesday blog post by Sridhar Ramaswamy, Google's senior vice president of ads and commerce, published ahead of the Google Marketing Next event in San Francisco.

Machine learning: Are we there yet?

Machine learning: Are we there yet?

In my recent blogs, I have written about automation tying the network to other domains of IT, and how it's a capability available today that you should start using. Machine learning is another hot topic.

In my recent blogs, I have written about automation tying the network to other domains of IT, and how it's a capability available today that you should start using. Machine learning is another hot topic.

How Argo Group approaches AI integration

How Argo Group approaches AI integration

Andy Breen joined Argo Group, a commercial specialty insurer, nine months ago after several years with American Express. His charge as SVP of digital for the company has been to streamline Argo's digital initiatives and help transition the carrier from traditional insurance IT tactics into the new digital-first world.

Andy Breen joined Argo Group, a commercial specialty insurer, nine months ago after several years with American Express. His charge as SVP of digital for the company has been to streamline Argo's digital initiatives and help transition the carrier from traditional insurance IT tactics into the new digital-first world.

On seeing the future of health IT for myself

On seeing the future of health IT for myself

SAN FRANCISCO - EHRs are everywhere ... no, wait, you already know that. What's more elusive, though, is exactly what the next generation of health IT will look like. But I caught a glimpse last week at the Healthcare IT News Big Data and Healthcare Analytics Forum.

SAN FRANCISCO - EHRs are everywhere ... no, wait, you already know that. What's more elusive, though, is exactly what the next generation of health IT will look like. But I caught a glimpse last week at the Healthcare IT News Big Data and Healthcare Analytics Forum.

AI Need: Experienced Hands

AI Need: Experienced Hands

Artificial intelligence aka machine learning may be relatively new on the financial-services scene, but experienced actors are needed for it to be a successful show. Interest in artificial intelligence and machine learning is experiencing a renaissance as the price of computing and data storage continue to decline and the amount available data rises dramatically, according to industry experts.

Artificial intelligence aka machine learning may be relatively new on the financial-services scene, but experienced actors are needed for it to be a successful show. Interest in artificial intelligence and machine learning is experiencing a renaissance as the price of computing and data storage continue to decline and the amount available data rises dramatically, according to industry experts.

CoreDial Taps Google Machine Learning to Create Competitive Voice Offering for Channel Partners

CoreDial Taps Google Machine Learning to Create Competitive Voice Offering for Channel Partners

CoreDial, LLC, a leading SaaS platform provider enabling channel delivery of cloud communications, today announced the addition of voice-to-text transcription to its SwitchConnex platform. This announcement was recently introduced to CoreDial partners at its PartnerConnex event in Philadelphia. CoreDial is leveraging the Google Cloud Speech API that offers improved accuracy over traditional solutions.

CoreDial, LLC, a leading SaaS platform provider enabling channel delivery of cloud communications, today announced the addition of voice-to-text transcription to its SwitchConnex platform. This announcement was recently introduced to CoreDial partners at its PartnerConnex event in Philadelphia. CoreDial is leveraging the Google Cloud Speech API that offers improved accuracy over traditional solutions.

Curiosity could help artificially intelligent machines advance

Curiosity could help artificially intelligent machines advance

mr. tech A computer algorithm equipped with a form of artificial curiosity can learn to solve tricky problems even when it isn't immediately clear what actions might help it reach this goal. Researchers at the University of California, Berkeley, developed an "intrinsic curiosity model" to make their learning algorithm work even when there isn't a strong feedback signal.

mr. tech A computer algorithm equipped with a form of artificial curiosity can learn to solve tricky problems even when it isn't immediately clear what actions might help it reach this goal. Researchers at the University of California, Berkeley, developed an "intrinsic curiosity model" to make their learning algorithm work even when there isn't a strong feedback signal.

D-Wave Joins with Creative Destruction Lab to Foster Startups in Quantum Machine Learning

D-Wave Joins with Creative Destruction Lab to Foster Startups in Quantum Machine Learning

BURNABY, BC--(Marketwired - May 23, 2017) - Today D-Wave Systems Inc., the leader in quantum computing systems and software, announced a new initiative with the Creative Destruction Lab (CDL) at the University of Toronto's Rotman School of Management. D-Wave will work with CDL, as a CDL Partner, to create a new...

BURNABY, BC--(Marketwired - May 23, 2017) - Today D-Wave Systems Inc., the leader in quantum computing systems and software, announced a new initiative with the Creative Destruction Lab (CDL) at the University of Toronto's Rotman School of Management. D-Wave will work with CDL, as a CDL Partner, to create a new...

A more powerful version of AlphaGo defeated the world's number one Go player

A more powerful version of AlphaGo defeated the world's number one Go player

In the first of several games being held in China this week, a revamped AlphaGo defeated Ke Jie, a Chinese grandmaster who currently ranks as the game's number one player. Besides demonstrating the software's mastery over the abstract and intuitive board game, the contest reveals how the machine-learning techniques that underpin AlphaGo are developing.

In the first of several games being held in China this week, a revamped AlphaGo defeated Ke Jie, a Chinese grandmaster who currently ranks as the game's number one player. Besides demonstrating the software's mastery over the abstract and intuitive board game, the contest reveals how the machine-learning techniques that underpin AlphaGo are developing.

AWS turns to machine learning for capacity planning decisions

AWS turns to machine learning for capacity planning decisions

It can be hard enough for businesses to predict their own IT requirements, but for cloud companies, which have to plan for thousands of customers and meet unexpected capacity requests around the world, it can be even harder. For Amazon Web Services, the largest of the cloud vendors, the answer to this challenge lies in machine learning.

It can be hard enough for businesses to predict their own IT requirements, but for cloud companies, which have to plan for thousands of customers and meet unexpected capacity requests around the world, it can be even harder. For Amazon Web Services, the largest of the cloud vendors, the answer to this challenge lies in machine learning.

A review of denoising medical images using machine learning approaches

A review of denoising medical images using machine learning approaches

This paper attempts to identify suitable machine learning approach for image denoising of radiology based medical application.

This paper attempts to identify suitable machine learning approach for image denoising of radiology based medical application.

Analytics, Machine Learning, Big Data skills may increase salaries by a third: Report

Analytics, Machine Learning, Big Data skills may increase salaries by a third: Report

Professionals with both these skill (machine learning and Big Data) can earn Rs 13.94 lakh per annum on an average, the report said.

Professionals with both these skill (machine learning and Big Data) can earn Rs 13.94 lakh per annum on an average, the report said.

The benefits of machine learning for retail

The benefits of machine learning for retail

Machine learning will change the face of retail over the next few years...

Machine learning will change the face of retail over the next few years...

Google is all set to deploy machine learning for more accurate measurements of number of offline store visits | The Tech Portal

Google is all set to deploy machine learning for more accurate measurements of number of offline store visits | The Tech Portal

At the Google Marketing Next conference, Google is announcing some major upgrades to the tools it makes available to marketers. The company is updating its store visit measurement tools and is introducing a dash of machine learning into the mix. The company has been measuring store visits brought about by online advertisements as early as 2014.

At the Google Marketing Next conference, Google is announcing some major upgrades to the tools it makes available to marketers. The company is updating its store visit measurement tools and is introducing a dash of machine learning into the mix. The company has been measuring store visits brought about by online advertisements as early as 2014.

The 6 top machine learning trends

The 6 top machine learning trends

IT Ops are now entering the third generation backed by cloud computing and automation, where setting up a new environment is a matter of a few clicks compared to installing a bare metal server in the second generation. Instances could be summed up by developers on a per-application basis or launched automatically due to increased user load.

IT Ops are now entering the third generation backed by cloud computing and automation, where setting up a new environment is a matter of a few clicks compared to installing a bare metal server in the second generation. Instances could be summed up by developers on a per-application basis or launched automatically due to increased user load.

University of Waterloo researchers develop machine learning-based rehabilitation system

University of Waterloo researchers develop machine learning-based rehabilitation system

Researchers at the University of Waterloo, in partnership with Cardon Rehabilitation and Medical Equipment, an Automated Rehabilitation System to allow people recovering from hip and knee replacements to see how well they are performing rehabilitative exercises.

Researchers at the University of Waterloo, in partnership with Cardon Rehabilitation and Medical Equipment, an Automated Rehabilitation System to allow people recovering from hip and knee replacements to see how well they are performing rehabilitative exercises.

Machine Learning: Beware the Bias

Machine Learning: Beware the Bias

In the past year or so, I've been struck by how we tend to anthropomorphize the machines and mechanize the human beings whose data we rely on. The machines are "ingesting," "consuming," and "learning," while people's life stories, videos and loved-ones photos --the meaningful moments of their lives -- are flattened into consumable "documents" or "transactions."

In the past year or so, I've been struck by how we tend to anthropomorphize the machines and mechanize the human beings whose data we rely on. The machines are "ingesting," "consuming," and "learning," while people's life stories, videos and loved-ones photos --the meaningful moments of their lives -- are flattened into consumable "documents" or "transactions."

The final battle between man and machine in the board game Go is here

The final battle between man and machine in the board game Go is here

From May 23, Google's artificial intelligence program AlphaGo is taking on the world's No. 1 player Ke Jie in three games in a five-day festival of Go in the game's birthplace, China. The millennia-old board game of Go had long been thought of being beyond the reach of AI algorithms thanks to its notorious complexity,...

From May 23, Google's artificial intelligence program AlphaGo is taking on the world's No. 1 player Ke Jie in three games in a five-day festival of Go in the game's birthplace, China. The millennia-old board game of Go had long been thought of being beyond the reach of AI algorithms thanks to its notorious complexity,...

Emerging Threats to Add to Your Security Radar Screen

Emerging Threats to Add to Your Security Radar Screen

As security pros scramble to defend against today's threats as well as a new wave of attacks such as the WannaCry ransomware worm, emerging technologies and determined cybercriminals are poised to make cyber-defense even more complex. Machine learning and the Internet of Things aren't new terms, but they're new to the workplace.

As security pros scramble to defend against today's threats as well as a new wave of attacks such as the WannaCry ransomware worm, emerging technologies and determined cybercriminals are poised to make cyber-defense even more complex. Machine learning and the Internet of Things aren't new terms, but they're new to the workplace.

AICPA's Melancon sees future for AI bots in accounting

AICPA's Melancon sees future for AI bots in accounting

American Institute of CPAs president and CEO Barry Melancon discussed the use of artificial intelligence, bots and other advanced technology, along with the future role of accountants, at the AICPA's Spring Meeting of Council in Washington, D.C., on Monday. "We are in excellent, capable hands," said AICPA chairman Kimberly Ellison-Taylor in introducing Melancon.

American Institute of CPAs president and CEO Barry Melancon discussed the use of artificial intelligence, bots and other advanced technology, along with the future role of accountants, at the AICPA's Spring Meeting of Council in Washington, D.C., on Monday. "We are in excellent, capable hands," said AICPA chairman Kimberly Ellison-Taylor in introducing Melancon.

Keep it real - say no to algorithm porn!

Keep it real - say no to algorithm porn!

For people in the know, machine learning is old hat. Even so, it's set to become the data buzzword of the year - for a rather mundane reason. When things get complex, people expect technology to 'automagically' solve the problem. Whether it's automated financial product consultation or shopping in the supermarket of

For people in the know, machine learning is old hat. Even so, it's set to become the data buzzword of the year - for a rather mundane reason. When things get complex, people expect technology to 'automagically' solve the problem. Whether it's automated financial product consultation or shopping in the supermarket of

Viewpoint: Neural Networks Identify Topological Phases

Viewpoint: Neural Networks Identify Topological Phases

A new machine-learning algorithm based on a neural network can tell a topological phase of matter from a conventional one. A detailed characterization of phases of matter is at the forefront of research in condensed-matter and statistical physics. Although physicists have made incredible progress in the characterization of a wide variety of phases, the identification of novel topological phases remains challenging.

A new machine-learning algorithm based on a neural network can tell a topological phase of matter from a conventional one. A detailed characterization of phases of matter is at the forefront of research in condensed-matter and statistical physics. Although physicists have made incredible progress in the characterization of a wide variety of phases, the identification of novel topological phases remains challenging.

Google for Jobs Employs Machine Learning to Help People Find Work

Google for Jobs Employs Machine Learning to Help People Find Work

One of Google's core strengths over the years has been its ability to deliver various services on top of its basic search engine technology, including things like business listings, image search and most recently Google Lens.

One of Google's core strengths over the years has been its ability to deliver various services on top of its basic search engine technology, including things like business listings, image search and most recently Google Lens.

Predicting Hurricane Damage with Machine Learning

Predicting Hurricane Damage with Machine Learning

Next week marks the start of a hurricane season that weather experts predict will generate an above-average number of tropical storms. While there's no stopping a hurricane, data scientists with The Weather Company hope to give those in the path of a big storm more accurate predictions of damage so they can better prepare.

Next week marks the start of a hurricane season that weather experts predict will generate an above-average number of tropical storms. While there's no stopping a hurricane, data scientists with The Weather Company hope to give those in the path of a big storm more accurate predictions of damage so they can better prepare.

Machine Learning Techniques for Predictive Maintenance

Machine Learning Techniques for Predictive Maintenance

In this article, the authors explore how we can build a machine learning model to do predictive maintenance of systems. They discuss a sample application using NASA engine failure dataset to predict the Remaining Useful Time (RUL) with regression models.

In this article, the authors explore how we can build a machine learning model to do predictive maintenance of systems. They discuss a sample application using NASA engine failure dataset to predict the Remaining Useful Time (RUL) with regression models.

Academic medical centers team up with Google to bolster machine learning and predictive analytics

Academic medical centers team up with Google to bolster machine learning and predictive analytics

Several large academic medical centers are collaborating with a consumer tech giant to provide a boost to analytics. The University of Chicago Medicine recently announced a new partnership with Google aimed at using machine learning to predict hospitalizations. Meanwhile, Stanford and the University of California San Francisco have partnered with Google to drive multiple analytics-based initiatives.

Several large academic medical centers are collaborating with a consumer tech giant to provide a boost to analytics. The University of Chicago Medicine recently announced a new partnership with Google aimed at using machine learning to predict hospitalizations. Meanwhile, Stanford and the University of California San Francisco have partnered with Google to drive multiple analytics-based initiatives.

Bromium CTO: Why the notion of using machine learning to detect malware is completely daft

Bromium CTO: Why the notion of using machine learning to detect malware is completely daft

Add to favorites There is a growing conversation within cybersecurity about the potential for artificial intelligence or machine learning to stand guard for us against attack vectors such as malware, independently identifying threats, and then formulating the decision to dispatch suspicious programmes - this idea is disputed by the CTO of Bromium.

Add to favorites There is a growing conversation within cybersecurity about the potential for artificial intelligence or machine learning to stand guard for us against attack vectors such as malware, independently identifying threats, and then formulating the decision to dispatch suspicious programmes - this idea is disputed by the CTO of Bromium.

Drilling Down into Machine Learning and Deep Learning

Drilling Down into Machine Learning and Deep Learning

This article is part of a special insideHPC report that explores trends in machine learning and deep learning. The complete report covers how businesses are using machine learning and deep learning, and then goes on to differentiate between AI, machine learning, and deep learning, including what it takes to get started.

This article is part of a special insideHPC report that explores trends in machine learning and deep learning. The complete report covers how businesses are using machine learning and deep learning, and then goes on to differentiate between AI, machine learning, and deep learning, including what it takes to get started.

Artificial intelligence and machine learning not a distant reality for agencies - Fedscoop

Artificial intelligence and machine learning not a distant reality for agencies - Fedscoop

Download FedScoop's AI and machine learning report here. Artificial intelligence and machine learning are often typecast as the futuristic underpinnings for a robot-ruled world - but in reality, federal agencies are already using more practical applications of the technologies today to improve the way they serve Americans and achieve their missions.

Download FedScoop's AI and machine learning report here. Artificial intelligence and machine learning are often typecast as the futuristic underpinnings for a robot-ruled world - but in reality, federal agencies are already using more practical applications of the technologies today to improve the way they serve Americans and achieve their missions.

Machine learning enlisted for Defense applications -- GCN

Machine learning enlisted for Defense applications -- GCN

To manage the tsunami of data available from drone surveillance, Deputy Defense Secretary Bob Work announced the creation of the Algorithmic Warfare Cross Functional Team (AWCFT). The team, otherwise known as Project Maven, is charged with accelerating the Defense Department's integration of big data and machine learning.

To manage the tsunami of data available from drone surveillance, Deputy Defense Secretary Bob Work announced the creation of the Algorithmic Warfare Cross Functional Team (AWCFT). The team, otherwise known as Project Maven, is charged with accelerating the Defense Department's integration of big data and machine learning.

Configuring Machine Learning | X-Pack for the Elastic Stack [6.0] | Elastic

Configuring Machine Learning | X-Pack for the Elastic Stack [6.0] | Elastic

Though it is quite simple to analyze your data and provide quick machine learning results, gaining deep insights might require some additional planning and configuration. The scenarios in this section describe some best practices for generating useful machine learning results and insights from your data.

Though it is quite simple to analyze your data and provide quick machine learning results, gaining deep insights might require some additional planning and configuration. The scenarios in this section describe some best practices for generating useful machine learning results and insights from your data.

How AI and Machine Learning Are Poised to Supercharge Web Design and Content

How AI and Machine Learning Are Poised to Supercharge Web Design and Content

This post is by Colin Humans have always had a fascination with artificial intelligence. We write books and produce countless movies about robots taking over the world. But have you noticed that you never see books and movies about this far more insidious possibility? Machines taking over web design and...

This post is by Colin Humans have always had a fascination with artificial intelligence. We write books and produce countless movies about robots taking over the world. But have you noticed that you never see books and movies about this far more insidious possibility? Machines taking over web design and...

Machine learning to extract gravitatonal wave transients

Machine learning to extract gravitatonal wave transients

Identifying astrophysical gravitational wave transients from events such as supernovae.

Identifying astrophysical gravitational wave transients from events such as supernovae.

Machine Learning & AI: When to Start? - Shelly Palmer

Machine Learning & AI: When to Start? - Shelly Palmer

If you want to build a ship to take humans to Proxima Centauri (the nearest star to the Earth), when should you start the project? If you start today, you might be ready to launch your ship in about 500 years, and accounting for exponential technological advances, you might get there in 10,000 years or so.

If you want to build a ship to take humans to Proxima Centauri (the nearest star to the Earth), when should you start the project? If you start today, you might be ready to launch your ship in about 500 years, and accounting for exponential technological advances, you might get there in 10,000 years or so.

AI and IP: What you need to know

AI and IP: What you need to know

Many sectors are set to undergo significant disruption as a result of artificial intelligence. In addition to disrupting business models, AI will also disrupt our legal framework for the creation and exploitation of intellectual property rights, and give rise to new IP challenges for those seeking to develop and deploy AI systems. AI systems are already being used to generate content capable of attracting IP protection.

Many sectors are set to undergo significant disruption as a result of artificial intelligence. In addition to disrupting business models, AI will also disrupt our legal framework for the creation and exploitation of intellectual property rights, and give rise to new IP challenges for those seeking to develop and deploy AI systems. AI systems are already being used to generate content capable of attracting IP protection.

Uber's shady pricing policy: company admits using new AI-based fare system

Uber's shady pricing policy: company admits using new AI-based fare system

Taxi-hailing company Uber is in the midst of many difficulties at the moment. Most prominently, they're involved in a lawsuit with Google's Waymo over theft of the latter's autonomous driving secrets. Then there are the sexual harassment complaints from its employees.

Taxi-hailing company Uber is in the midst of many difficulties at the moment. Most prominently, they're involved in a lawsuit with Google's Waymo over theft of the latter's autonomous driving secrets. Then there are the sexual harassment complaints from its employees.

Google's New AI Can 'Engineer' Better than Human Engineers

Google's New AI Can 'Engineer' Better than Human Engineers

One of the most exciting discussions to come out of Google's I/O conference was talk of the company's new AI system. CEO Sundar Pichai jokingly calls it "AI inception." ("I tell them 'we must go deeper'," he noted at this year's keynote.)

One of the most exciting discussions to come out of Google's I/O conference was talk of the company's new AI system. CEO Sundar Pichai jokingly calls it "AI inception." ("I tell them 'we must go deeper'," he noted at this year's keynote.)

So you want to build a machine learning startup? Here's what you must do first

So you want to build a machine learning startup? Here's what you must do first - BizWest

BOULDER - For startups interested in using data and machine learning, it might be tempting to jump right into crunching the information. But Sara Bates, co-founder and data scientist at Bates Analytics, a consulting firm that creates machine learning strategy for startups, shared some advice at Boulder Startup Week's "practical intro to machine learning" on what to do before diving into data.

BOULDER - For startups interested in using data and machine learning, it might be tempting to jump right into crunching the information. But Sara Bates, co-founder and data scientist at Bates Analytics, a consulting firm that creates machine learning strategy for startups, shared some advice at Boulder Startup Week's "practical intro to machine learning" on what to do before diving into data.

AI and Machine Learning Take Center Stage at Google I/O 2017

At last year's Google I/O developer conference, CEO Sundar Pichai described how the world was shifting from mobile-first to one led by artificial intelligence (AI). This year, the company is focusing on "making AI work for everyone," he said.

Moogfest visitors get to hear the results of machines learning music

Moogfest visitors get to hear the results of machines learning music

Can machines learn and make music? The question always sparks aesthetic and philosophical arguments, but Google's Magenta project is examining whether machine learning can help "to create compelling art and music," according to its website.

Can machines learn and make music? The question always sparks aesthetic and philosophical arguments, but Google's Magenta project is examining whether machine learning can help "to create compelling art and music," according to its website.

Machine Learning Is Over-hyped and It Is Vital We Start To Cut Through The Noise

Machine Learning Is Over-hyped and It Is Vital We Start To Cut Through The Noise - insideBIGDATA

Businesses are ultimately still at an early stage with their machine learning adoption and understanding its capabilities. More than 20 experts from world-leading organizations will speak at the upcoming Machine Learning Innovation Summit, which will take place this June 5-6 at the Marriott Union Square in San Francisco.

Businesses are ultimately still at an early stage with their machine learning adoption and understanding its capabilities. More than 20 experts from world-leading organizations will speak at the upcoming Machine Learning Innovation Summit, which will take place this June 5-6 at the Marriott Union Square in San Francisco.

Fares based on distance? No! Uber applies machine-learning techniques to estimate how much customers are willing to shell out

Fares based on distance? No! Uber applies machine-learning techniques to estimate how much customers are willing to shell out

Uber drivers have been complaining that the gap between the fare a rider pays and what the driver receives is getting wider. After months of unsatisfying answers, Uber Technologies Inc. is providing an explanation: It's charging some passengers more because it needs the extra cash.The company detailed for the first time in an interview with Bloomberg a new pricing system that's been in testing for months in certain cities.

Uber drivers have been complaining that the gap between the fare a rider pays and what the driver receives is getting wider. After months of unsatisfying answers, Uber Technologies Inc. is providing an explanation: It's charging some passengers more because it needs the extra cash.The company detailed for the first time in an interview with Bloomberg a new pricing system that's been in testing for months in certain cities.

Google Researchers Are Teaching Their AI to Build Its Own, More Powerful AI

Google Researchers Are Teaching Their AI to Build Its Own, More Powerful AI

Google has announced another big push into artificial intelligence, unveiling a new approach to machine learning where neural networks are used to build better neural networks - essentially teaching AI to teach itself. These artificial neural networks are designed to mimic the way the brain learns, and Google says its new technology, called AutoML, can develop networks that are more powerful, efficient, and easy to use.

Google has announced another big push into artificial intelligence, unveiling a new approach to machine learning where neural networks are used to build better neural networks - essentially teaching AI to teach itself. These artificial neural networks are designed to mimic the way the brain learns, and Google says its new technology, called AutoML, can develop networks that are more powerful, efficient, and easy to use.

The Impact of AI: Steve Kraus of Cogito

The Impact of AI: Steve Kraus of Cogito

The Impact of AI: Steve Kraus of Cogito Steve Kraus is VP of marketing at emotional intelligence vendor Cogito. What are the main ways AI/machine learning will impact marketers and their work in the next year or two?

The Impact of AI: Steve Kraus of Cogito Steve Kraus is VP of marketing at emotional intelligence vendor Cogito. What are the main ways AI/machine learning will impact marketers and their work in the next year or two?