Automation is swiftly transforming the workplace and has been called the greatest threat to human jobs and the economy. To protect against massive disruption to the workforce, some experts suggest companies get involved. "Its no longer adequate to study one thing and not learn anything else your entire career," Harvard Business School professor Amy Edmondson told Business Insider.
Researchers have demonstrated a new type of computation based on "magic dust" that has the potential to upend the supercomputing future. The dust, which is really composed of quasiparticles known as polaritons, is well-suited finding optimizations for very complex mathematical problems because of its natural propensity for condensation at low energy states.
Thermoelectric materials convert heat into electricity and can provide solid-state cooling for spot-sized refrigeration. One important barrier for adopting these materials beyond niche applications is their low efficiency. He and Tritt review the mechanisms and strategies for improving thermoelectric efficiency. They discuss how to report material performance and highlight the most promising materials.
In Part 2 of our conversation with Eric Wilson, VP of P2P at Basware, we touched on the inherent risks of computers making decisions that have historically been reserved for humans. While it may no...
If you are one of the many advertisers using Google AdWords, you might have received an August 29 email about changes to ad rotation. You might be wondering what exactly this means, and more importantly, what the impact will be on performance and return within your Google AdWords account.
A fleet of rapid-response drones could someday be used to assess damage immediately following a massive earthquake like the one that struck Mexico this month.A University of Illinois graduate student headed to Mexico City today has developed a computer algorithm that can "see" and interpret structural problems in buildings and convey that informati
University researchers have developed neural networks - data systems that mimic the learning patterns of the human brain - that are adaptable and agile enough to work with compact devices. Until now, the vast size and scope of neural networks have made it necessary for them to run primarily on servers with extensive memory and power.
Love them or hate them, computers are becoming more ingrained in 21st century medical care. And in an increasingly data-driven industry, two Harvard researchers say medical education hasn't kept pace with technological advancements that will become a core part of the healthcare ecosystem.
Earlier this month, Apple unveiled its new and the world watched in awe as senior vice president Craig Federighi accessed the device using facial recognition by simply looking at it. Rest assured, this is a big deal, but what Apple missed that this kind of facial recognition is already possible without all of the high-technology sensors in the iPhone X's "TrueDepth" camera system.
Research from Stanford scholars revealed that specific words in product descriptions can predict sales. They found that polite language that invokes culture or authority helps products sell. The work was carried out on online products in Japan, but the authors' method could reveal top-selling words in English, Chinese and other languages.
Scientists have made amazing advances enabling machines to understand language and process images for such applications as facial recognition, image classification (e.g., "cat" or "dog") and translation of texts. Work in ...
The brain has long inspired the design of computers and their software. Now Intel has become the latest tech company to decide that mimicking the brain's hardware could be the next stage in the evolution of computing. On Monday the company unveiled an experimental "neuromorphic" chip called Loihi.
In this special guest feature, Ori Geva, Co-Founder and CEO of Medial EarlySign, discusses how the ue of machine learning can help create new opportunities for earlier intervention and delivery of improved, personalized care by allowing physicians and health systems to increase their scope of attention.
Heading to the airport has become a necessary process for almost all business professionals these days, but all too often, the airport can be a minefield of potential hold-ups or stressful procedures.
The tech world is in a constant state of flux as new technologies enter the mix. And for businesses, this means new ways to collect, store and use data. However, controlling data and running applications on it is not easy, which is why companies are experimenting with machine learning and metadata.
Machine learning is something of a buzz-word in the industry and is a frequent topic at conferences, in the media and during customer meetings - but is it the solution to all our security woes? Well, not yet - but there is potential for it to significantly help in some of the areas where we truly need it.
As a lawyer on the staff of the FBI Cyber Division, Andrew Burt spent a good deal of time looking at the intersection of national security and technology. That meant looking at policy in an organization charged to look at massive amounts of sensitive data.
A growing crop of cloud platforms are targeting machine learning users with applications and services that can serve as an alternative to complicated and disparate open source tools. Some say there's cause for caution in evaluating these tools, however. "We're seeing a really massive shift of big data into the public cloud," said Brian Hopkins, an analyst at Forrester Research.
A discussion of trends in innovation management within financial institutions, and the key processes, technology and cultural shifts driving innovation. New customer channels are changing the face of traditional banks and disrupting existing banking models. Rising mobile penetration has transformed the way consumers bank.
Mateverse is the Word Press for Machine Leaning, where one can build ML models in five simple steps in a few couple of minutes
Machine-learning point cloud classification With Pix4Dmapper 4.0 you get machine-learning tools for photogrammetry applications in your hands. It allows you to classify 3D point clouds into categories like buildings, roads or vegetation. And this is just the beginning of Pix4D's latest journey. We believe in the ability of photogrammetry and machine learning techniques to revolutionize ...
Technology giant Google is gearing up to edge out close rivals Amazon and Microsoft in the cloud services space in India with its first cloud region (data centre) in Mumbai within this year. Google has 12 cloud regions globally, including four in Asia-Pacific, namely, Tokyo, Singapore, Taiwan, and Sydney.
Researchers at the Stevens Institute of Technology in New York, and the New York Institute of Technology have devised what they claim is a highly effective way to guess passwords using a deep learning tool called Generative Adversarial Networks (GANs).
In its ongoing quest to trap and kill Android malware, Google has, as usual, turned to machine learning - and is reporting some success. Speaking at the Structure Security conference in San Francisco today, Adrian Ludwig, head of Android security, said the ads giant has trained systems using telemetry data from handsets - information such as which apps are installed and uninstalled, the behavior of the software, and so on, presumably.
View more stories Despite Elon Musk's warnings this summer, there's not a whole lot of reason to lose any sleep worrying about Skynet and the Terminator. Artificial Intelligence (AI) is far from becoming a maleficent, all-knowing force.
Sure, machine learning is capable of analyzing massive data pools and, when it comes to security, the technology can both detect and analyze threats. But it's often touted by security companies as a great hero -- especially for busy hospitals. It's not.
Quantum computers could give the machine learning algorithms at the heart of modern artificial intelligence a dramatic speed up, but how far off are we? An international group of researchers has outlined the barriers that still need to be overcome.
Timothy Prickett Morgan High performance computing, long the domain of research centers and academia, is increasingly becoming a part of mainstream IT infrastructure and being opened up to a broader range of enterprise workloads, and in recent years, that includes big data analytics and machine learning.
Is machine learning a must-have for security analytics or is it window dressing that is irrelevant to a security manager's purchasing decision? The answer, much like the outputs derived through machine learning algorithms, is neither black nor white.
There are just 25 tickets left for MCubed, our machine learning, AI and analytics conference, so if you want to spend two days learning how those technologies could change your business, you need to secure your ticket now.
Acquisio released a report ( PDF) this month that argues machine learning algorithms can dramatically improve paid-search marketing performance vs. accounts that don't use them. Acquisio calls its suite of machine learning tools "Acquisio Turing," after British computer scientist Alan Turing.
Machine learning has become hot this year and suppliers are investing research and development into using machine learning in the supply chain. But in a conversation with Michael Farlekas and John Lash - the CEO and VP of Product Marketing at E2open - I was reminded of the fact that machine learning in the supply chain is not a new technology.
Splunk has always been data central for IT operations info, but as the logs fill up with ever-increasing amounts of data, it has become impossible for humans to keep up. Recognizing this, Splunk started building in machine learning and artificial intelligence last year, and this week they are enhancing those capabilities to make it easier to surface the data that's most critical.
Microsoft, just like many of its competitors, has gone all in on machine learning. That emphasis is on full display at the company's Ignite conference this where, where the company today announced a number of new tools for developers who want to build new A.I.
In a bid to avoid a repeat of US presidential elections, Facebook used tools such as machine learning and training the governing authorities to deal with the problem of fake news and external meddling in elections. Facebook as per their blog post came up with tools to combat the aforementioned problem during the recent German elections.
In the sci-fi movie "Children of Men," people suddenly could no longer make babies, putting the human race on the brink of extinction. A character in the movie gazes at Michelangelo's masterpiece sculpture, David, and says to the art collector, "A hundred years from now there won't be one sad f-ck to look at any of this.
Researchers, led by New York University, have developed a new method based on machine-learning algorithms to distinguish between genuine and counterfeit versions of the same product. Such technology will be of value to businesses producing goods, to retail stores and to trading standards and customs officials.
A new ransomware attack tries to convince users to click on what appears to be a document scanned from an internalKonica Minolta C224e, one of the most popular business scanner/printer models in the world.
Pindrop, an Atlanta-based voice security and authentication firm, has released Pindrop Protect 4.0, which includes its patented high-definition Phoneprinting technology that analyzes more than 1,300 features of a call's audio to detect the subtle anomalies that indicate fraud, and determine the device type, geolocation and carrier.
IBM has announced a unified analytics system that allows data scientists to work across multiple data stores in ways the company said should eliminate time-consuming data integration and preparation. The Integrated Analytics System, launched at the Strata Data Conference in New York, aims to let data scientists develop and deploy models wherever data resides.
Cloudera is enabling real-time data insights and predictive analytics to help companies use IoT to drive operational efficiencies, introduce new products and services, improve the customer experience and create wholly new business models.
The Assassin's Creed developer has put out a call for historians and researchers to aid in the project Share this article Companies in this article Ubisoft has today unveiled an artificial intelligence research project to simplify the deciphering of hieroglyphics.
Sandy Rattray, Man Group Plc chief investment officer, discusses the advantages and disadvantages of machine learning with Bloomberg's Mark Barton and Vonnie Quinn on "Bloomberg Markets." (Source: Bloomberg)
In a constantly evolving cyberthreat landscape where firewalls and antiviruses have become old hat, organizations must adopt more technologically advanced ways to protect crucial data. Advanced machine learning algorithms can learn the routine patterns of life for every user and device in a network to detect anomalies and adapt accordingly.
Machine learning has grown to be one of the most popular and powerful tools in the quest to secure systems. Some approaches to machine learning have yielded overly aggressive models that demonstrate remarkable predictive accuracy, yet give way to false positives. False positives create negative user experiences that prevent new protection from deploying.
If you are out to describe the truth, leave elegance to the tailor. - Albert Einstein Machine learning is everywhere now, from self-driving cars to Siri and Google Translate, to news recommendation systems and, of course, trading. In the investing world, machine learning is at an inflection point.
Microsoft is embedding Anaconda's Python distribution into its Azure Machine Learning products, the latest move by the software vendor to expand its capabilities in the fast-growing artificial intelligence space and an example of Anaconda extending its reach beyond high performance computing and into AI.
Torsten Volk, an analyst at Enterprise Management Associates in Boulder, Colo., sees an evergrowing role for machine learning and networking. Overall, IT operations are poised for cost savings and risk reductions through the adoption of machine learning and networking, he said, but challenges remain.
OneSpin's CEO looks at what's needed in this computing space, which technologies are winning, and what the key metrics will be. Raik Brinkmann, president and CEO of OneSpin Solutions, sat down to talk about artificial intelligence, machine learning, and neuromorphic chips. What follows are excerpts of that conversation.
There are several key problems that decentralized AI tackles, and provide the user the opportunity to take back control of their healthcare. The Integral Burden These solutions can guide the participant in finding and collecting its own medical data.
