Not just big, but everywhere
Gigaom’s Structure Data conference is less than a month away, kicking off March 18 in New York. There are a lot of…
Machine Learning has been around for well over a decade and, with the rise of “Big Data” analytics, has become especially prominent…
Memex: A graph of trafficking
On Sunday night, 60 Minutes aired a segment about the Defense Advanced Research Projects Agency, or DARPA, and its attempts to secure the internet…
Keeps data private and useful
Researchers at Ohio State University have developed a method for building a machine learning algorithm from data gathered from a variety of…
Outgrowing the graph
GraphLab, a Seattle-based startup trying to make machine learning more accessible, has raised an $18.5 million series B round of venture capital…
Seen those features before
A trio of MIT researchers has developed a machine learning model that might help humans make better sense of big data by…
A German software company called Arago just received a $55 million investment from KKR in order to help take its IT automation software global. The company’s algorithms learn how to perform administrative tasks such as software testing or troubleshooting that traditionally required humans.
Context Relevant, a Seattle-based company pushing a set of specialized machine learning applications, has added to its series B round of venture…
Jeff Hawkins invented the Palm Pilot and the Treo smartphone, and now he’s trying to invent the future of artificial intelligence. In this interview, he explains why he’s so adamant about his company’s approach and how the company is settling in after some early hiccups.
Our future of artificial intelligence and deep learning event tonight will now be streamed live for folks who can’t attend in person. Speakers include Andrew Ng, Oren Etzioni, John Platt, Johan Schalkwyk, Jeremy Howard, Adam Gibson, Bobby Jaros and Benjamin Recht.
The new Synapsify Core app promises to make consumer sentiment analysis faster and easier for normals.
A Seattle-based machine learning startup called GraphLab is releasing the first official version of its software, which the company hopes can democratize an historically difficult space. Called Create, the software is focused on simplicity, speed and being able to handle a wide variety of applications.
Professional social network Declara has expanded its series A round to include two new investors and an additional $9 million in funding. The company’s technology platform uses machine learning to connect people with co-workers and content that will help them learn.
Researchers from the University of California, Riverside, say they’ve developed a cheap yet remarkably accurate method for classifying insects as they fly by a sensor. They explain their setup and the machine learning models that interpret the data in a very informative paper.
Personal learning startup Declara has raised a $16 million series A round of venture capital for its platform that connects large networks of professionals to the people and content that will help them learn.
A startup called Emerald Logic claims it uses an evolutionary process to discover the best algorithm for predicting outcomes from any dataset. It might sound to good to be true, but the company claims successes already and is one of several startups trying something similar.
A new content-management platform called Highspot says it can make it easier for employees to find documents by employing the techniques used in web search engines. Its exact approach might be unique, but it’s not alone in trying to make enterprise search more intelligent.
A Major League Baseball team is reportedly the proud owner of a Cray Urika graph-processing appliance that helps the team make in-game decisions by analyzing lots and lots of data. It might be a first, but it’s where sports are headed.
While consumers might be willing to trade their data for better experiences, John Foreman argues we might not understand the tradeoff at all. As machine learning advances, companies’ models will treat us as little more than machines.
An API launching today aims to help web and app developers make quick decisions about pricing and advertisements.
A Boston-area startup called Nutonian is taking its machine learning software originally developed for scientific research into the mainstream. To the degree software can ever tell users how and why data are connected, Nutonian says its product is the best thing around.
A startup called Aviate has built an app that its creators say makes Android better by, essentially, taking it over. Aviate gives users a pared-down home screen, categorizes their apps, and automatically surfaces the ones they need depending on where they are.
Machine learning startup BigML now supports text data in its cloud-based prediction service. It has always analyzed numerical fields in complex datasets to determine the relationship between them and any given outcome, and how it will consider the importance of words, too.
Facebook has reportedly done away with its once-important EdgeRank system in lieu of a system that considers about 100,000 factors in determing what content to show on users’ feeds.
When it comes to data, soccer is the new baseball. The latest issue of the Economist has an article breaking down English…
Machine-learning technologies can be met with resistance from humans skeptical of their effectiveness or fearful of their impact. But it doesn’t have to be that way at your company.
Predictive analytics specialist NICE has acquired Causata, a marketing analytics startup built around a core of big data and machine learning technologies.…
A startup called Pondera Solutions has built an entire business based on utilizing Google’s suite of services — its Prediction API most prominently — to power an offering it calls Fraud Detection as a Service.
Graph databases are becoming popular vehicles for constructing recommendation systems and other applications, and engineers are aiming to make the systems easier to adopt.
Cyberattacks through websites and networks have gotten loads of attention lately, but telephone hacking is sleeping giant. Andreessen Horowitz and other funds are backing Pindrop Security to solve the problem.
Facebook has been calling on users, external data sources and machine-learning models to improve its Graph Search function. But Facebook must do more to make the tool a widely used utility.
Machine-learning startup Wise.io is leaving one accelerator and joining another as it seeks to help enterprises make predictions on several kinds of incoming data.
The big data skeptics have been getting louder over the past few months, but the message doesn’t resonate too loudly. No one said big data was perfect data.
A startup called Infer has taken on $10 million in venture funding to help more companies get a better idea of which leads to focus on in their sales and marketing lead lists.
Is there there really a model for predicting the success of Kickstarter campaigns? A new interactive model from machine learning service BigML offers a fun way to try, although the dearth of public data from Kickstarter might affect its accuracy.
IBM has just hired a former Assistant Secretary of Defense as a VP for research strategy. With an expertise in cybersecurity and big data, Zachary Lemnios has some predictions and thoughts about big data and machine learning worth hearing.
Even if you don’t agree with ZestFinance’s business, it’s hard to argue with its grasp of big data and applied mathematics. Now, the company has added a human touch to machine learning in order to make its models for assessing repayment risk even more accurate.
Interest graph specialist Gravity has raised $10.6 million to expand its business of personalizing the web for consumers. Thanks to a semantic engine that associates the content site visitors read with related topics, Gravity says it can show readers just what they want to see.
A new app called Saga hit the App Store promising to be a personal assistant that knows what users are up to even if they don’t. It wants to tell users where they’ve been, where they’ll go next and how long it will take to get there.
Google is teaching computers to recognize human faces without telling the algorithms which faces are human. It’s a machine-learning problem made for this era of unstructured data and access to large compute clusters. It’s also the next big opportunity in tech — enabling computers to “see.”
Google announced it has bought Clever Sense, maker of the smart local recommendations app Alfred. The deal arms Google with another tool to attack the local market, as it seeks to scoop up more ad dollars and be the go-to resource for all things local.
BankSimple, the next generation mobile bank start-up, has raised $10 million as it prepares to launch. The new financing is led by existing investor IA Ventures and also includes Shasta Ventures and should help the company scale up for a public debut later this year.