Source – forbes.com Forbes Insights research shows that 65% of senior transportation-focused executives believe logistics, supply chain and transportation processes are in the midst of a renaissance—an era of profound transformation. But of the most visible forces of change, perhaps none carries more potential for innovation and even disruption than the evolution of artificial intelligence (AI), machine Read More
Source – financialexpress.com US tech giant Google announced on Monday that it is employing a new artificial Intelligence (AI) technology to combat online spreading of contents involving child sexual abuse. Google said its cutting-edge AI technology uses deep neural networks for image processing to help discover and detect child sexual abuse material (CSAM) online. The new tool based Read More
Source – news18.com In a novel method, researchers have used Artificial intelligence (AI) technology that scanned through Google Maps images to estimate obesity on Earth — even without actually spotting obese people. The team lead by researchers from University of Washington, Seattle, downloaded nearly 150,000 high-resolution Google Map satellite images of select neighbourhoods in four cities Read More
Source – businesstoday.in Advanced technologies like AI and machine learning not only reduce the chances of error — thereby improving efficiency — but also go beyond human intelligence to offer solutions in areas such as e-commerce, fintech, healthcare, and education. Technical hubs like Bengaluru, Delhi-NCR, Mumbai, and Hyderabad are flooded with start-ups working on advanced technologies Read More
Source – forbes.com There’s a lot of talk today about artificial intelligence and the impact it will have on the future. But the term gets thrown around so much that it’s falling victim to the Kleenex syndrome—the label is so overused that the meaning gets diluted and applied to things that aren’t actually AI. What actually Read More
Source – entrepreneur.com While many organizations and sectors are deploying AI solutions for the first time, one industry has been gobbling up algorithms and artificial intelligence solutions – Media. Big players in media have been successfully using personalization and intelligent algorithms for quite some time. Highlighting the media industry’s large appetite for AI, Ted Sarandos, Head Read More
Source – healthcareitnews.com Pharmaceutical company Takeda and research and development data science institute ConvergeHEALTH by Deloitte have partnered to study patient datasets to better understand the etiology, progression and most effective therapies for difficult diseases. Using insurance claims information including diagnoses, medical procedures and prescriptions, they ran linear and non-linear models on disease datasets like Read More
Source – news.clearancejobs.com Cleared contractors are found in massive, hyper-modern companies situated in manicured industrial parks. They’re also found in small businesses that have been in existence since WWII. No matter where they are or how big their operating base, they will be affected by Artificial Intelligence (AI). What began as an almost magical way to collate data Read More
Source – techstory.in Healthcare has always been a difficult industry to tap into. Every day, new devices and procedures are launched but are not adapted readily because patients may be at risks. Yet, in the past one decade, a major player has entered the healthcare industry – artificial intelligence. While this is not a singular product, Read More
Source – MOUNTAIN VIEW, Calif. — In a May memo to President Trump, Defense Secretary Jim Mattis implored him to create a national strategy for artificial intelligence. Mr. Mattis argued that the United States was not keeping pace with the ambitious plans of China and other countries. With a final flourish, he quoted a recent magazine Read More
Source – forbes.com In 2017 Google outspent Microsoft, Apple, and Facebook on R&D spending with the majority being on AI and machine learning. Google needs new AI- and machine learning-driven businesses that have lower Total Acquisition Costs (TAC) to offset the rising acquisition costs of their ad and search businesses. One of the company’s initial forays Read More
Source – cio.com Charles Darwin was rumored to have said something to the effect of “It’s not the strongest or smartest that survives. Rather it’s the species that’s the most adaptable to change.” This axiom has never been truer in the business world than it is today. Adapting to market trends has always been the difference Read More
Source – nextplatform.com Another Hot Chips conference has ended with yet another deep learning architecture to consider. This one is actually quite a bit different in that it relies on analog computation inside flash memory for inference. Mythic, which was founded in 2012 by Dave Fick (also CTO) and a colleague from the Michigan Integrated Circuits Read More
Source – cosmosmagazine.com My spine still shivers when I remember the nuclear stand-off between the Soviet Union and the United States in 1962. As a nine-year-old I felt helpless in the face of two leaders poised to push the button. It was MAD – mutually assured destruction – but sanity prevailed and by the end of Read More
Source – theverge.com We live in a world that’s increasingly controlled by what might be called “the algorithmic gaze.” As we cede more decision-making power to machines in domains like health care, transportation, and security, the world as seen by computers becomes the dominant reality. If a facial recognition system doesn’t recognize the color of your Read More
Source – forbes.com You may have heard about deep learning and felt like it was an area of data science that is incredibly intimidating. How could you possibly get machines to learn like humans? And, an even scarier notion for some, why would we want machines to exhibit human-like behavior? Here, we look at 10 examples Read More
Source – networkworld.com At the present time, there is a remarkable trend for application modularization that splits the large hard-to-change monolith into a focused microservices cloud-native architecture. The monolith keeps much of the state in memory and replicates between the instances, which makes them hard to split and scale. Scaling up can be expensive and scaling Read More
Source – analyticsindiamag.com One of the most dangerous aspects looming the computer world is security threats. It is estimated that around three trillion dollars are lost in cyber crimes every year. This figure is expected to double by 2021. With all of these threats lurking around, it is difficult to track and eliminate every threat, especially as the number of Read More
Source – timesnownews.com Toronto: Dodgy lip sync dubbing could soon become a thing of the past as researchers have developed an Artificial Intelligence (AI)-based system that can edit the facial expressions of actors to accurately match dubbed voices. The system, called Deep Video Portraits, can also be used to correct gaze and head pose in video conferencing, Read More
Source – smartcitiesworld.net Mobile transportation platform provider, Didi Chuxing (DiDi), has launched an initiative to fully understand the social impact on communities of artificial intelligence (AI). The company, which offers a range of app-based transportation options for 550 million users including taxi, carpooling and bike-share, made the announcement at its Tech Day in Beijing, where it Read More
Source – forbes.com The Wikipedia community, the free encyclopedia that is built from a model of openly editable content, is notorious for its toxicity. The issue was so bad that the number of active contributors or editors—those that made one edit per month—had fallen by 40 percent during an eight-year period. Even though there’s not one solution to combat this Read More
Source – entrepreneur.com Coming-of-age technology, known as artificial intelligence, is blowing a heavy wind across the world, raising dust in various spheres and generating intellectual discourse among scholars about the fate of humanity. The assertion that “robots are taking over” is a bitter pill to swallow as it creates panic among employees. The 2017McKinsey Global Institute Report reiterates Read More
Source – .theguardian.com If 2017 was the year artificial intelligence rose to prominence, 2018 is when we’re seeing it go mainstream. Whichever area you work in, it’s likely AI will become increasingly prevalent in your everyday activity. Wherever you are in the world – whether you are an expert in AI, someone whose job increasingly uses Read More
Source – devops.com OverOps has launched a namesake platform employing machine learning algorithms to capture data from an IT environment that identify potential issues before a DevOps team decides to promote an application into production. Company CTO Tal Weiss said the OverOps Platform is unique in that, rather than relying on log data, it combines static and dynamic Read More
Source – devops.com When asked if AI would eventually replace radiologists, Dr. Curtis Langoltz of Stanford University pithily replied “No, but radiologists who use AI will replace those who do not use it.” This great insight is highly applicable to IT. Yes, there are many ways we can use AI methods to fully automate a broad Read More
Source – devops.com There’s been a lot of media attention in recent years about how artificial intelligence (AI) and machine learning (ML) are going to change the world—how they’re going to create new and interesting applications in fields as diverse as education, law, health care and transportation. This may happen. But if I had to bet on Read More
Source – opengovasia.com A recent report stated that a survey conducted by an Information and Technology market research and advisory firm highlights that AI adoption in the ASEAN region is on the rise. Current AI adoption rates stand at 14% across Southeast Asia as compared to just 8% last year, marking a clear move by companies to embed Read More
Source – gq-magazine.co.uk cience-fiction guru William Gibson, who coined the term cyberspace, famously pointed out that the future is already here – it is just not very evenly distributed. We veer from anticipating a new dawn to prepping for the end of days. But the future we want is up to us and it’s time to Read More
Source – jaxenter.com DevOps methodologies are rapidly increasing and generating vast and diverse data sets across the life cycle of entire application including development, deployment, and performance management. Only a robust analysis and monitoring layer can particularly harness this data for the ultimate DevOps goal that is end-to-end automation. The rise of machine learning and its Read More
Source – networksasia.net Artificial intelligence is the buzzword for 2018 and it is being used everywhere and often to describe fairly mundane automation and analytics-driven processes. One of the earliest adoptions has been speech to text, for example in call centres. AI enables the speech of both the call centre operator and the customer to be Read More