Verisk Analytics, Inc., a data analytics provider, has signed a definitive agreement to acquire Wash.-based G2 Web Services, an industry-leading provider of merchant risk intelligence solutions for acquirers, commercial banks, and other payment system providers.
G2 Web Services will become part of Argus, a Verisk Analytics business, which will allow Argus to enhance its offerings to clients and partners, providing unprecedented market-leading solutions in merchant and consumer fraud and reputational...
Google recently launched a personalized news feed on the company's flagship app, and it will soon rollout to browser versions of google.com.
The update is a huge deal for a couple of reasons: First, it will be the most radical change to Google's famously simple home page since 1996, or at least since its big push behind Google+, which began in 2011 and has since been deemed a failure. It also positions Google to compete directly with the Facebook News Feed, which generally provides the same...
I read with interest the recent post by my fellow Above the Law columnist, Bob Ambrogi, on a study about the disparity of results found when using various legal research tools. Those findings caught my attention because I’d encountered that very phenomenon when conducting research for this article. As I tested the built-in AI features of Westlaw and LexisNexis, I noticed that identical queries entered into each platform typically led to very different sets of results.
Of course,...
Only 1 percent of plaintiffs who file federal job discrimination, harassment and retaliation claims win on the merits at trial, according to an analysis by the Lex Machina legal analytics firm.
Lex Machina last week launched an employment litigation search and analysis module that covers findings of hostile work environment, retaliation and Title VII issues such as race bias, as well as discrimination based on age, equal rights, military, pregnancy and rehabilitation. Lex Machina reviewed nearly...
Google's DeepMind is developing an AI capable of 'imagination', enabling machines to see the consequences of their actions before they make them.
In two new research papers, the British AI firm, which was acquired by Google in 2014, describes new developments for "imagination-based planning" to AI.
Its attempt to create algorithms that simulate the distinctly human ability to construct a plan could eventually help to produce software and hardware capable of solving complex tasks more efficiently.
Artificial Intelligence is colossally hyped these days, but the dirty little secret is that it still has a long, long way to go. Sure, A.I. systems have mastered an array of games, from chess and Go to “Jeopardy” and poker, but the technology continues to struggle in the real world. Robots fall over while opening doors, prototype driverless cars frequently need human intervention, and nobody has yet designed a machine that can read reliably at the level of a sixth grader, let alone a college...
Machine learning can allow robots to acquire complex skills, such as grasping and opening doors. However, learning these skills requires us to manually program reward functions that the robots then attempt to optimize. In contrast, people can understand the goal of a task just from watching someone else do it, or simply by being told what the goal is. We can do this because we draw on our own prior knowledge about the world: when we see someone cut an apple, we understand that the goal is to produce...