Recent advances in machine learning have changed the way computers understand digital images and video. In order to further advance natural language and machine learning, Google introduced Open Images, a dataset consisting 9 million URLs to images that have been annotated with labels that cover more than 6,000 categories. According to Google software engineers Tom … continue reading
There’s no room for uncertainty in the software that responds to a machine’s “Emergency Stop” button. At first sight, software inspired by nature (biomimetic software) delivers more uncertainty than answers. But maybe that’s an illusion. Software development is full of new, reinvented and changing concepts, items and structures. One concept that has always captured the … continue reading
For humans, writing posts on social media just comes naturally. Humans understand each word that’s said or typed, but for machines, it’s not that easy. Understanding the meaning of words is one of the biggest challenges that artificial intelligence researchers face today, and this week’s GitHub project named fastText aims to solve that challenge. Automatic … continue reading
A new artificial intelligence company thinks that its breakthrough in natural language understanding can take on what machine learning experts say is an unsolvable challenge: getting machines to understand human language and its meaning. Pat Inc., which announced its private beta and US$2.5 million in seed funding this month, is developing artificial intelligence technology that … continue reading
Machines that can better understand human interactions could open up new possibilities for robots, which is why researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) trained an algorithm that can anticipate human interactions more accurately than before. The algorithm was trained on YouTube videos and TV shows like “The Office” and “Desperate Housewives.” … continue reading
As a way to help machines and robots better understand the objects and environment around them, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have created an algorithm that can effectively learn how to predict sound. According to the researchers’ paper, “The algorithm uses a recurrent neural network to predict sound features from … continue reading
Neural networks can now tackle one of the most important problems our smartphone generation has ever faced: What emoji to use? On a more serious note, neural networks (a computer system that’s modeled after the neurons in the brain) have become a powerful tool for software and robotics. Facebook uses neural networks to identify faces … continue reading
The first beta release of PostgreSQL 9.6 is ready for download, containing previews of all the features that will become available when the final version is here. The PostgreSQL Global Development Group is encouraging its users to begin testing their applications against this new release. New changes and enhancements include parallel sequential scans, joins and … continue reading
Red Hat has announced the availability of a no-cost Red Hat Enterprise Linux developer subscription yesterday, which is part of the Red Hat Developer Program. It is offered as a self-supported, development-only subscription. It provides developers with a stable development platform for building enterprise applications across cloud, physical, virtual and container infrastructures. With this subscription, … continue reading
If you thought republican presidential candidate Donald Trump already said enough crazy things, you might not want to follow his Twitterbot. A postdoc from MIT’s Computer Science Artificial Intelligence Lab (CSAIL) has developed a Twitterbot that uses an artificial intelligence algorithm, deep learning techniques and neural networks to tweet out Trump-like statements such as “I’m … continue reading
Researchers at Carnegie Mellon University are on a mission to advance the science of machine learning algorithms and computer vision. As such, they have announced a five-year, US$12 million research effort to reverse-engineer the brain. The goal of the project is to unlock the secrets of neural circuitry and brain-learning methods in order to get … continue reading
“Nim in Action,” a book about the Nim programming language, is now available. The book introduces the Nim programming language, teaching programmers how to write native software applications and libraries, Web applications, embedded device software, and programs that communicate over the Internet. It explains hands-on examples of how to write test, debug, document and package … continue reading
