software


Paralegals v. Artificial Intelligence - Friend or Foe? - The Legal Assistant

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As technology progresses, so does our fear of being replaced by artificial intelligence (A.I.). A.I. has already made its presence known in the legal field igniting worry about our job security. The topic of Attorneys and paralegals v. Artificial Intelligence is hitting the headlines with ever-increasing presence. Even with the new wave of A.I. pouring into the legal industry, it does not necessarily mean that paralegals will ever become obsolete. While A.I. is by some, portrayed as an enemy, it also brings something of value to the legal field.


How Artificial Intelligence Will Shape the Future of Malware

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As we move into the future, the prospect of AI-driven systems becomes more appealing. Artificial Intelligence will help us make decisions, power our smart cities, and--unfortunately--infect our computers with nasty strains of malware. Let's explore what the future of AI means for malware. When we use the term "AI-driven malware," it's easy to imagine a Terminator-style case of an AI "gone rogue" and causing havoc. In reality, a malicious AI-controlled program wouldn't be sending robots back through time; it would be sneakier than that.


AR: Visualizing the Future of Construction - Constructech

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AR (augmented reality) is beginning to grow in popularity for a number of industries including construction. Add to that the fact that technology providers are coming out with new solutions, and the opportunities for businesses are vast. Gartner places AR (augmented reality) on its recent five distinct emerging technology trends list. It falls within the category of sensing and mobility, which combines sensor technologies with AI to enable businesses to gain a better understanding of the world around them. Mordor Intelligence also gives AR some pretty significant growth predictions, with the market experiencing a growth rate of 151.93% between 2019 and 2024.


FDA Clears Subtle Medical's AI-Powered Image Enhancement Software

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Subtle Medical today announced its artificial intelligence (AI)-powered image processing software, SubtleMR, received 510(k) clearance from the U.S. Food and Drug Administration (FDA). SubtleMR uses deep learning algorithms, denoising and resolution enhancement to improve the image quality of existing scanners. "We are pleased to received FDA clearance for SubtleMR, and we look forward to helping radiology departments and imaging centers get the most out of their existing MRI scanners," said Enhao Gong, Ph.D., founder and CEO of Subtle Medical. The software, which Subtle Medical said is compatible with any brand of MRI scanner and picture archiving and communication systems (PACS), could be beneficial for patients who have trouble staying still for long periods of time. Reducing the scan time for these patients not only improves the patient experience but could result in fewer artifact-ridden images and the need for physicians to re-scan an individual.


OnviSource Releases its New Multi-Engine and Proprietary Artificial In

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OnviSource announced today it has started the deployment of its AI-driven solutions powered by its new proprietary Artificial Intelligence software, called iMachine . Company's solutions are able to utilize the most optimized AI engine pertinent to their specific application. For example, Company's Intelligent Virtual Agent or smart bot, called Liaa, primarily utilizes iMachine's NLP/NLU engine; while Intellecta multichannel analytics and Automata RPA products may use iMachine's ML and DL engines for a variety of their AI-driven features. Use of iMachine by Company's solutions in analytics, RPA and IVA significantly enhances their capabilities in effectively addressing today's enterprise and contact center challenges in workforce optimization, customer experience management and business process automation; as well as automating the management of enterprise contents. Content of calls, audio files, email, chat, text, and structured or unstructured documents can be analyzed by iMachine for discovering intent, purpose, compliance, categories, sentiment, root causes and complex information otherwise undetected by analytics that do not use AI engines.


The A in AI Stands for Assisted - theceoviews

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AI is a powerful paradigm that cannot be ignored; it will reshape industries and enterprises around the globe. McKinsey estimates that "the adaptation of currently demonstrated automation technologies could affect 50 percent of the world economy, or 1.2 billion employees and $14.6 trillion in wages – China, India, Japan, and the United States--account for just over half of these totals." This promise is compelling, the ability to automate higher order work functions with a digital rather than human workforce is a disruptive force, and tho there are pros and cons, the reduction in costs and increase in efficiency, consistency and transparency is attractive. At Smartlogic, we think the'A' in'AI' would be more representative of today's machines if it stood for'Assisted' (rather than'Artificial') but we don't get to choose the words, so we will use the term AI. Assisted is more appropriate as it suggests a collaborative interplay between humans and machines (which are of course themselves a combination of various bits of hardware, software and networks).


Machine Learning with Knime

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In this presentation, Kathrin Melcher, who works as a data scientist at KNIME, will give an overview of KNIME Software, including the open-source tool KNIME Analytics Platform for creating data science applications and services and also the different deployment options you have when using KNIME Server. While the structure is often similar--data collection, data transformation, model training, deployment--each project required its own special trick, whether this was a change in perspective or a particular technique to deal with the special case and business questions. You'll learn about demand prediction in energy, anomaly detection in IoT, risk assessment in finance, the most common applications in customer intelligence, social media analysis, topic detection, sentiment analysis, fraud detection, bots, recommendation engines, and more. Join us to learn what's possible in data science. She holds a Master's Degree in Mathematics from the University of Konstanz, Germany.


Machine learning requires a fundamentally different deployment approach

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Welcome to the first O'Reilly Radar column. We plan to use this column to cover topics related to the themes that have our attention these days: AI/ML; Next Economy and Future of the Firm; Next Architecture; and tech-driven innovation and disruption. We'll also venture outside of O'Reilly's core focus on technology practitioners to include how technology fits into the modern economy, and offer the kind of information that can provide guidance and confidence to technology leaders facing this brave new world. The Radar team uses a combination of input from our wide-ranging social network, our own experience as practitioners, and data analysis (particularly from analyzing aggregate search and usage data on the O'Reilly online learning platform) to contextualize trends around technology adoption and to consider the impact of those trends. Put another way, we use our intuition and social network to vet our math, and we use math to vet our intuition and what our community tells us.


Military artificial intelligence can be easily and dangerously fooled

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Last March, Chinese researchers announced an ingenious and potentially devastating attack against one of America's most prized technological assets--a Tesla electric car. The team, from the security lab of the Chinese tech giant Tencent, demonstrated several ways to fool the AI algorithms on Tesla's car. By subtly altering the data fed to the car's sensors, the researchers were able to bamboozle and bewilder the artificial intelligence that runs the vehicle. In one case, a TV screen contained a hidden pattern that tricked the windshield wipers into activating. In another, lane markings on the road were ever-so-slightly modified to confuse the autonomous driving system so that it drove over them and into the lane for oncoming traffic.


IT firm Hexagon to teach AI to school students

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IT firm Hexagon to introduce the nuts and bolts of Artificial Intelligence (AI) to school students from Class 8. The AI Community Centre, which will offer free courses, to come up in Hyderabad early next year. Stockholm (Sweden)-based Hexagon, a sensor, software and autonomous solutions, has tied up the National Association of Software and Services Companies (Nasscom) to establish the AI Community Centre. "The school is open to all. It will run introductory courses in AI for students from Class 8 to senior level, which include engineering students," Navaneet Mishra, vice-president and Country Manager of Hexagon Capability Center India (HCCI), said.