NEW DELHI: Chief Justice of India (CJI) S A Bobde said on Tuesday that the Supreme Court has proposed to introduce a system of artificial intelligence (AI) which would aid in the administration of justice delivery. The CJI however made it clear that there should not be any impression that introduction of AI would ever substitute the judges. "We propose to introduce, if possible, a system of artificial intelligence. There are many things which we need to look at before we introduce it. We do not want to give the impression that this is ever going to substitute the judges," Justice Bobde said at the Constitution Day function organised by the Supreme Court Bar Association (SCBA).

If a Russian or Chinese Anti-Satellite (ASAT) weapon streamed into space and exploded U.S. military satellites, friendly forces would instantly become very vulnerable to significant and extremely destructive enemy attacks - space-based infrared missile detection could be destroyed, GPS communications could be knocked out, guided weapons could jam and derail before hitting their targets and war-critical command and control could simply be "taken out." Any, all or part of this could happen in as little as 10 to 15 minutes once a satellite attacking missile is launched from the ground. Lives will hang in the balance as alerts are sent through U.S. command and control and decision-makers scramble to determine the best countermeasure with which to protect its space assets. Space war is no longer a distant prospect to envision years down the road --- it is here. Recognizing the seriousness of this vulnerability, the Pentagon, U.S. Space Command, Missile Defense Agency and industry are moving quickly to integrate Machine Learning and AI into space-based systems and technology.

Minecraft's open-ended play environment could be ideal for AI research, some researchers say.Credit: Microsoft To see the divide between the best artificial intelligence and the mental capabilities of a seven-year-old child, look no further than the popular video game Minecraft. A young human can learn how to find a rare diamond in the game after watching a 10-minute demonstration on YouTube. Artificial intelligence (AI) is nowhere close. But in a unique computing competition ending this month, researchers hope to shrink the gap between machine and child -- and in doing so, help to reduce the computing power needed to train AIs. Competitors may take up to four days and use no more than eight million steps to train their AIs to find a diamond.

Last Thursday (November 21), the Cambridge Union Society hosted what turned out to be the most popular debate of term: THB Artificial Intelligence will bring more harm than good. The chamber was filled to its maximum capacity, with people having to be turned away at the door. A wealth of news outlets, including the BBC, CNN and the New Scientist attended to cover the event. This fervour of attention is hardly surprising: IBM Research's Project Debater, the first artificial intelligence platform that can debate humans on complex topics, was the leading'speaker' on both the proposition and opposition. The night opened with a brief introduction from the principal investigator of Project Debater, Noam Slonim.

Artificial intelligence (AI) is continuing to break boundaries and researchers at the University of Alberta push this notion further, including PhD student Dustin Morill. Morill, a fourth-year PhD student working with computing science professor Michael Bowling, is working on algorithmic game theory. He is also apart of the Alberta Machine Intelligence Institute (Amii) and has been a key contributor to DeepStack, a project seeking to have artificial intelligence develop techniques for games like poker and checkers to continually reassess strategy. The Gateway interviewed Morill who is continuing to contribute to AI research and see what he had to say about the field.

This is reportedly the first time in the world that artificial intelligence is used to give consumers up-to-date information on animal welfare. Arla Finland's CEO Kai Gyllström explains that the purpose of the new innovative app is to meet consumer expectations. We wanted to make the familiar Arla Milkchain even more transparent for the consumers by giving them a new opportunity to follow the cows' conditions as they actually are. Dairy farms can also take advantage of the AI data to improve their own operations, says Gyllström. The Arla Iris app collects and combines data on cleanliness, nutrition and health, as well as outdoor activities, movement, and everyday operations at the Tikka organic dairy farm.

Today, Amazon announced a new approach that it says will put machine learning technology in reach of more developers and line of business users. Amazon has been making a flurry of announcements ahead of its re:Invent customer conference next week in Las Vegas. While the company offers plenty of tools for data scientists to build machine learning models and to process, store and visualize data, it wants to put that capability directly in the hands of developers with the help of the popular database query language, SQL. By taking advantage of tools like Amazon QuickSight, Aurora and Athena in combination with SQL queries, developers can have much more direct access to machine learning models and underlying data without any additional coding, says VP of artificial intelligence at AWS, Matt Wood. "This announcement is all about making it easier for developers to add machine learning predictions to their products and their processes by integrating those predictions directly with their databases," Wood told TechCrunch.

The graph represents a network of 1,485 Twitter users whose recent tweets contained "#MegaTrends", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 26 November 2019 at 16:54 UTC. The tweets in the network were tweeted over the 9-day, 6-hour, 9-minute period from Sunday, 17 November 2019 at 10:27 UTC to Tuesday, 26 November 2019 at 16:36 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

MIT researchers have devised a method that accelerates the process for creating and customizing templates used in medical-image analysis, to guide disease diagnosis. One use of medical image analysis is to crunch datasets of patients' medical images and capture structural relationships that may indicate the progression of diseases. In many cases, analysis requires use of a common image template, called an "atlas," that's an average representation of a given patient population. Atlases serve as a reference for comparison, for example to identify clinically significant changes in brain structures over time. Building a template is a time-consuming, laborious process, often taking days or weeks to generate, especially when using 3D brain scans.

The Whole time Director, Amnaika Roy Rashtrawar, of IFFCO Tokio General Insurance said that technology would play a major role in the extension of the reach of insurance products to several remotest parts of the country. She shared her views during an interview regarding the recent developments in the space of general insurance and the future plans of the company that would have a significant impact on their customer's experience. Interviewer: In your opinion, will technology be able to play a bigger role for insurance penetration in India, keeping in mind the cheap data plans and the increasing number of users of smartphone? Technology has always been a major promoter of insurance products. As more and more customers shall be getting access to the internet via high-speed networks, technology shall be helping to extend the reach of products of insurance.