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The future of robotics: 10 predictions for 2017 and beyond ZDNet
IDC predicts that 35 percent of leading organizations in logistics, health, utilities, and resources will explore the use of robots to automate operations by 2019. What does the future hold for robotics? It's hard to say, given the rapid pace of change in the field as well as in associated areas such as machine learning and artificial intelligence. But one thing seems certain: Robots will play an increasingly important role in business and life in general. Research firm International Data Corp's (IDC) Manufacturing Insights Worldwide Commercial Robotics program recently unveiled its top 10 predictions for worldwide robotics for 2017 and beyond.
Machine learning in hybrid transaction/analytics processing
January marked the release of the long awaited Hidden Figures movie featuring an all-star cast and highlighting the contributions of both women and IBM's technology to history. Hidden Figures tells the true story of three African-American female mathematicians, Katherine Johnson, Mary Jackson, and...
AI's New New Age // FABERNOVEL
Yet, this very topical subject is a problem for a simple reason: the debate on what artificial intelligence will or should become and lead to is too seldom accompanied by an explanation of what it is, or rather of what the concept covers. This was the starting point of FABERNOVEL's decision to write this essay and study the past, present and future of artificial intelligence. It is anything but a trivial starting point, as anyone keeping an eye on AI developments quickly discovers. Defining AI is more than essential for anyone willing to grasp what is at stake: it is the source of fiery debates on a topic that can be a field, a trend, an opportunity or a threat but is above all an academic field with a short yet rich 60-year long history. It is a field whose main characteristic is to be prone to, and torn apart by, ceaseless paradoxes. Getting immersed in artificial intelligence quickly leads to a first obvious conclusion: there is – nor ever was there – a standardized and globally accepted definition for what it is.
Deep Learning for Noobs [Part 2]
I chose Tensorflow as the backend since it has a better community support. Lets get our hands dirty. Don't think about where you can do it. Your regular systems will die while training the datasets. So lets get a AWS server. If you have an insane gaming rig then feel free to go ahead in setting it up on local.
Humans and AI are co-operating. . . for now - Disruption
Much of popular fiction has painted Artificial Intelligence and humanity as opposing forces. AI is the clever, morally ambiguous antagonist, whilst humans are the hapless fools that created their own demise. Thanks to development and adoption, the long-standing view of the technology as inherently dangerous is changing. Despite this, AI platforms are constantly pitted against humans to test their skill. Special events are set up specifically with this in mind, for example the chess match in which Deep Blue defeated the reigning world champion, or the more recent victory of Libratus at a Rivers Casino poker tournament.
Putting humans at the heart of the public sector robot revolution
Much has been made of the so-called'robot revolution' with Artificial Intelligence (AI) technologies forecast to transform many industries beyond all recognition. Once the stuff of science fiction movies, these emerging trends are fast becoming serious discussion points for organisations seeking to save time and money through automated processes and data crunching. For the UK public sector, tasked with protecting critical services on limited budgets whilst delivering value for money to taxpayers, such initiatives appear to be an obvious benefit. This week for the first time we have heard a prediction around what a truly digital public sector might look like. A new research paper from the Reform think tank has predicted that around 250,000 public sector jobs could be taken by robots in the next 15 years.
Report: artificial intelligence will cause "structural collapse" of law firms by 2030
Robots and artificial intelligence (AI) will dominate legal practice within 15 years, perhaps leading to the "structural collapse" of law firms, a report predicting the shape of the legal market has envisaged. Civilisation 2030: The near future for law firms, by Jomati Consultants, foresees a world in which population growth is actually slowing, with "peak humanity" occurring as early as 2055, and ageing populations bringing a growth in demand for legal work on issues affecting older people. This could mean more advice needed by healthcare and specialist construction companies on the building and financing of hospitals, and on pension investment businesses, as well as financial and regulatory work around the demographic changes to come; more age-related litigation, IP battles between pharmaceutical companies, and around so-called "geriatric-tech" related IP. The report's focus on the future of work contained the most disturbing findings for lawyers. Its main proposition is that AI is already close in 2014. "It is no longer unrealistic to consider that workplace robots and their AI processing systems could reach the point of general production by 2030… after long incubation and experimentation, technology can suddenly race ahead at astonishing speed."
How To Interpret R-squared and Goodness-of-Fit in Regression Analysis
This article was written by Jim Frost from Minitab. He came to Minitab with a background in a wide variety of academic research. His role was the "data/stat guy" on research projects that ranged from osteoporosis prevention to quantitative studies of online user behavior. Essentially, his job was to design the appropriate research conditions, accurately generate a vast sea of measurements, and then pull out patterns and meanings from it. After you have fit a linear model using regression analysis, ANOVA, or design of experiments (DOE), you need to determine how well the model fits the data. To help you out, Minitab statistical software presents a variety of goodness-of-fit statistics.
Box CEO Offers Perspectives on AI, Machine Learning at Work
NEWS ANALYSIS: Storage and data protection have come from far behind the other key components of IT--computing and networking--to catch up in terms of innovation. Chris Preimesberger is Editor of Features and Analysis at eWEEK. Join us for our next #eWEEKchat on March 8: "App Economy or API Economy: Which Is It Going to Be?"
Future Of Retail: Artificial Intelligence And Virtual Reality Have Big Roles To Play
From artificial intelligence to virtual reality, emerging technologies are rewriting the retail playbook at a rapid pace, suggests J. Walter Thompson Intelligence in a new report called Frontier(less) Retail. Launched in collaboration with WWD, the report explores the idea that brands and retailers are increasingly putting innovation at the core of their strategies. This relates to everything from digital integration through to the more future-looking technologies helping to shift their businesses forward. Rebecca Minkoff has boosted sales with smart mirrors in dressing rooms, it notes, while Kate Spade has had a hit with Everpurse, a smartphone-charging handbag. It also attributes the success of Under Armour in part to its positioning as a tech-forward brand, and references Topshop's new incubator program, Top Pitch, as a clever bid to achieve the same at a time when its young consumer base is more likely to spend on smartphones than splurge on streetwear. Within all this, however, it is keeping abreast of change that is proving one of the industry's biggest challenges.