New Delhi: Advances in technology and medical research could mean seismic changes in the healthcare industry. Soon, cancer, heart disease, diabetes and other debilitating illnesses could be defeated - perhaps, 20 years from now (unbelievable as it may sound) - thanks to scientists, medical doctors and researchers who are working vigorously, making stupendous progress on all these fronts. Over the last decade, healthcare is one of the industries that has evolved the most, yet, we're going to see changes in the way diseases are being treated. It's evident that we're going to witness drastic changes in a number of dimensions - from robots in the role of healthcare professionals to smart technology and artificial intelligence tools that will improve the quality of care and population health. Dr Sanjay Pandey, Head - Andrology and Reconstructive Urology - Kokilaben Dhirubhai Ambani Hospital, Mumbai, spoke on how digital technology, robotics and AI are transforming the face of medicine.
Researchers at IIT Kharagpur have evolved an artificial intelligence-aided method to automate reading of legal judgements. A research team at the institute's Department of Computer Science and Engineering has developed two deep neural models to understand the rhetorical roles of sentences in a legal case judgement, an IIT KGP statement said here. This could be unique in India where the country uses a Common Law system that prioritises the doctrine of legal precedence over statutory law and where legal documents are often written in an unstructured way, a member of the team said. "Taking 50 judgments from the Supreme Court of India, we have segmented these by first labelling sentences with the help of three senior law students from IIT Kharagpur's Rajiv Gandhi School of Intellectual Property Law," Saptarshi Ghosh, professor of the Department of Computer Science and Engineering, who is leading the research team, said. "We then performed extensive analysis of the human- assigned labels, and developed a high quality gold standard corpus to train the machine to carry out the task," Ghosh said.
This market is absolutely teeming with chip startups, many of whom are reaching a level of maturity where they are revealing their architectures and starting to produce measurable results. As established semiconductor companies start to appreciate the importance of the AI accelerators, and the range of vertical markets AI will encroach on, will some of them look to jump-start their strategies with acquisitions? With dozens of startups at the stage where first products are being marketed and results are being unveiled, the opposite effect also applies. I spoke with Geoff Tate, CEO of Flex Logix, recently and he quoted Warren Buffett: "When the tide goes out, you can see who's been swimming naked." Not all the startups we see in the market today will be successful.
KHARAGPUR: Researchers at IIT Kharagpur have evolved an Artificial Intelligence-aided method to automate the reading of legal case judgments, the premier institute said in a statement on Friday. The researchers from IIT Kharagpur's Computer Science and Engineering department have developed two deep neural models to understand the rhetorical roles of sentences in a legal case judgment, which could prove phenomenal in India where AI is yet to sufficiently penetrate the legal field. The country uses a Common Law system that prioritises the doctrine of legal precedent over statutory law, and where legal documents are often written in an unstructured way. "Taking 50 judgments from the Supreme Court of India, we segmented these by first labelling sentences with the help of three senior law students from IIT Kharagpur's Rajiv Gandhi School of Intellectual Property Law, then performing extensive analysis of the human-assigned labels and developing a high quality gold standard corpus to train the machine to carry out the task," explained research lead Professor Saptarshi Ghosh. Unlike earlier attempts which required substantial human intervention, the neural methods used by Ghosh's team enables automatic learning of the features, given sufficient amount of data, and can be used across multiple legal domains.
The year 2019 witnessed more deep-tech startups and trends, and some compelling takeaways as well. These were especially highlighted during events led by innovation, beginning with the Mobile India conference, and towards the latter half of the year, via marquee technology and startup conferences such as TechSparks, Nasscom Product Conclave, IoT India Congress, IoTNext, and Amazon AI Conclave. All these brought together deep-tech companies and learnings across Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT) and industrial challenges. Besides the above flagship conferences, the latest in SpaceTech, Electric Vehicles (EVs) and transnational events like StartupScaler, where senior business advisors from the Helsinki Business Hub, Business Finland's Country Manager, and India's startup ecosystem leaders shared their insights on how startups could scale globally, with the right people. Here's a look at the 15 startups, which presented to an expert jury panel comprising of investors, seasoned entrepreneurs, and ecosystem leaders.
Python has massive applications in Artificial Intelligence (AI) applications, data science, Machine Learning (ML) and data analytics, US-based online education company according to Coursera. The top 10 list of courses, such as "Programming for Everybody," Python Data Structures," Python for Data Science and AI," has been dominated by python. Python has a lot of advantages. One of them is that it is extremely easy getting started with. It offers a lot of flexibility.
Inspiring examples of such invention and empowerment were showcased at Amazon AI Conclave, billed as'the largest and most unique AI event in the country'. Attracting participation from over 1,000 data scientists and thought leaders across fields, the event was all about discussing, displaying and learning about proven best practices solutions, networking with industry peers and Amazon experts, and fostering new collaborations to drive AI innovation. Last, but not least, it was about showcasing and honouring groundbreaking work being done in AI across the country with the Amazon AI Awards. Puneet also spoke about how more Machine Learning happened on AWS than anywhere else, citing impressive metrics that included over 10,000 customers, twice the customer references and that eighty-five percent of all Tensorflow-based projects in the cloud are running on AWS. He also referenced how Freshworks, India's locally grown and globally known SaaS player adopted hyper-personalised customer service using ML and saw ticket resolution improve by 37 percent.
For most students, an upcoming math assignment or test is a source of anxiety. What if we told you that learning math can be as simple as clicking a photograph from your smartphone? Meet Microsoft Math Solver, an all-in-one app that helps with a wide range of mathematical concepts–from elementary arithmetic and quadratic equations to calculus and statistics. All you need to do is use your smartphone camera to click a photo of a math problem to solve it–be it handwritten or printed. You can also type or scribble the math problem on your smartphone or tablet's display as you would do on paper.
We are well aware of the fact that AI-driven software is helping organizations to increase their efficiency, expand sales and strengthen their customer relationships. Machine learning being the subset of AI is one of the most important technologies for the business. In India, the global machine learning market is expected to reach 543.18 billion by 2023 with a CAGR of 42.99 percent. Among various AI technologies being embraced in India, machine learning applications are receiving higher investments, especially in the functions like accounting, finance, general management, IT operations and administration. Below mentioned are a few ways how machine learning is helping businesses.
Just a few days away now, Machine Learning Developers Summit, which is to be held on 22-23 Jan in Bengaluru and on 30-31 Jan in Hyderabad, has created a buzz around the tech community. With MLDS, Analytics India Magazine aims to bring in researchers and innovators together on one platform, where they will be presenting their research papers on various topics like machine learning, deep learning, and robotic process automation (RPA). About: In this paper, the author will be presenting a novel approach using graph algorithms for building a product recommendation solution for a publishing company. He will be talking about the developed approach that focuses on the popular books and courses inside a local community identified by the graph algorithms to generate recommendations. About: In this paper, the author will be presenting an idea where they use neural network architectures for attention mechanisms to spot the people who are suffering from prolonged stress.