A pivotal point to be noted is that we are not dealing with a usually labeled dataset. Data for survival analysis is different from standard regression or classification problem. In survival analysis, we are dealing with censored data. Censoring is a form of missing data problem. Whenever we deal with survival analysis, we will get the training data within a study period.

Patents are filed in China for international protection of inventions under PCT route after domestic patent filing. The first patent application is filed in home country to secure a patent priority date. Thereafter, within 12 months of the priority date, a PCT international phase application is filed with the WIPO. The PCT international patent application provides a time period of almost 30 to 31 months from the priority date to file the same patent application in multiple countries, including, India, China, Singapore, and the like. China and India amended their patent laws to fulfill the obligation of TRIPS agreement.

Artificial Intelligence(AI) is actually the brand new digital frontier which will completely transform the way the we works and lives. At a fundamental amount of understanding, AI is the concept and development of computer devices which can carry out tasks that require human intelligence, for example visual perception, speech recognition as well as decision making. AI this term was first used in 1956 and since then half century, AI is developing gradually but no one had the idea about its extraordinary heap in the last one and a half decade. WIPO finds out that Machine Learning is the dominant AI technique as it covers 40% of all the patent inventions WIPO has studied. According to WIPO this industry is growing 28% every year since 2013.

ShotSpotter (Nasdaq: SSTI), a gunshot detection, location and forensic analysis provider, announces the U.S. Patent and Trademark Office (USPTO) has granted the company U.S. Patent No. 10,424,048 entitled "Systems and Methods Involving Creation and/or Utilization of Image Mosaics in Classification of Acoustic Events." ShotSpotter's real-time gunshot detection solution uses a two-step process that employs both machine classification and human review. The system can distinguish with high accuracy whether a loud, impulsive sound detected by its acoustic sensors is a gunshot or a non-gunshot incident, such as fireworks, in less than 60 seconds, according to the company. The innovation behind the patent granted to ShotSpotter covers the conversion of multiple features of the audio event into a set of visual displays that are combined into a single image mosaic. This enables the system to leverage deep learning neural networks that typically identify and classify images, not sounds.

Just like the dragons in Dreamworks' 2010 film'How to Train Your Dragon', AI systems are often unruly and require strict training to make sure they make the right decisions. Untrained dragons can cause a lot of damage. Likewise, as AI systems spread further and have more influence over our lives, it's getting far more important to make sure they're properly trained. Bias can creep into the reasoning of AI very easily, either via datasets that are not diverse enough or through irrelevant data attached to viable data points, leading to flawed results and in some cases prejudiced or dangerous conclusions. Despite regulations like GDPR to protect the privacy of our data, personal consumer data is increasingly being used by companies to improve services or to gain customer insight.

Sign in to report inappropriate content. Santiago Siri, the founder of Democracy Earth, speaks about possible ways of formalizing humans on blockchain. He shows how complex this problem is and gives an overview of various approaches tackling the problem.

Actor and equality campaigner Geena Davis has announced that Disney has adopted a digital tool that will analyse scripts and identify opportunities to rectify any gender and ethnic biases. Davis, founder of the Geena Davis Institute on Gender in Media, was speaking at the Power of Inclusion event in New Zealand, where she outlined the development of GD-IQ: Spellcheck for Bias, a machine learning tool described as "an intervention tool to infuse diversity and inclusion in entertainment and media". Developed by the University of Southern California Viterbi School of Engineering, the Spellcheck for Bias is designed to analyse a script and determine the percentages of characters' "gender, race, LGBTQIA [and] disabilities". It can also track the percentage of "non-gender-defined speaking characters". Davis said that Disney had partnered with her institute to pilot the project: "We're going to collaborate with Disney over the next year using this tool to help their decision-making [and] identify opportunities to increase diversity and inclusion in the manuscripts that they receive. We're very excited about the possibilities with this new technology and we encourage everybody to get in touch with us and give it a try."

Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company"), a company specializing in the development of Internet of Things (IoT) and Artificial Intelligence (AI) enabled networking and tracking technologies, including its GopherInsight wireless mesh network technology platform for both mobile and fixed solutions, announced that it is now implementing a new approach within its intelligent agent, recurrent relational reasoning (RRN). The new set of algorithms enables GBT's AI system to explicitly consider relations between objects (Static, moving), or abstract ideas. The RRN methodology will be implemented within Avant! AI within the next months, enabling it with logic analysis boost to handle vast information and data interpretation complexity. One of the key reasons for implementing this new method is to achieve outstanding image-based reasoning tasks for Avant!

Casepoint was selected over a number of other e-discovery technology solutions after undergoing a rigorous multi-step evaluation process. The SEC's evaluation factors included assessing software features and functionality, cybersecurity, management and key personnel, past performance, and a competitive proof of concept process. The SEC receives approximately 3,500 new productions, totaling nearly 10TB after processing, each month. The SEC's existing e-discovery systems contain almost 1PB of data across 7,300 cases and must support 600 users in its Washington, D.C. headquarters and 1,200 additional users across its 11 regional offices nationwide. It was imperative that the SEC chose an enterprise-scale solution that is fast, powerful, and easy-to-use.

The American criminal justice system has never been great for minorities. But in 2011, it got a lot worse. This was the year that the tech industry innovated its way into policing. It began with a group of researchers at the University of California, Los Angeles, who developed a system for predicting which areas of a city crimes were most likely to occur. Police could then flood these areas with officers in order to prevent offenses from being committed, or so the thinking went.