Industry


From braille to Be My Eyes – there's a revolution happening in tech for the blind

The Guardian

I am using an app called Be My Eyes, an app that connects blind and visually impaired people to sighted volunteers via a remote video connection. In the mid-1970s Ray Kurzweil, a pioneer in optical character recognition (OCR) – software that can recognise printed text – founded Kurzweil Computer Products and programmed omni-font, the first OCR program with the ability to recognise any kind of print style. All the time, companies are finding new ways to improve accessibility and Be My Eyes isn't the only assistive technology company taking advantage of the real time human element, building technology that is based on the creation of dialogue with its users. Earlier this year, Aira helped Erich Manser, who has retinitis pigmentosa, run the Boston marathon.


Sorting Lego sucks, so here's an AI that does it for you

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You see, Mattheij decided he wanted in on the profitable cottage industry of online Lego reselling, and after placing a bunch of bids for the colorful little blocks on eBay, he came into possession of 2 tons (4,400 pounds) of Lego -- enough to fill his entire garage. As Mattheij explains in his blog post, resellers can make up to €40 ($45) per kilogram for Lego sets, and rare parts and Lego Technic can fetch up to €100 ($112) per kg. Instead of spending an eternity sifting through his own, intimidatingly large collection, Mattheij set to work on building an automated Lego sorter powered by a neural network that could classify the little building blocks. "By the end of two weeks I had a training data set of 20,000 correctly labeled images."


Three Real Use-Cases of Machine Learning in Business Applications

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In the statement above, the term "empathetic" is used in better understanding a person or group of people--the why behind a certain behavior or process--and in turn using that knowledge to design a better product or service according to the customer's needs and desires. While machine learning excels at identifying and categorizing anything that can be quantified, humans still rule in interpreting and understanding how quantitative and qualitative data fits into a greater context. For example, an algorithm might observe that a particular group of consumers waits a certain number of days after scanning flight tickets to purchase, or that a certain group searches for particular flight routes during a specific time of the year. But the why behind these behaviors is something that can only be found out by contacting and listening to customer's stories.


India needs legal infrastructure to lead in artificial intelligence, says study

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New Delhi: In order to become a frontrunner in the field of artificial intelligence (AI), India should take the lead in establishing a legal infrastructure on its application, a study said here on Thursday. According to a recent Assocham-PwC joint study titled "Leveraging artificial intelligence and robotics for sustainable growth", an early public sector interest could trigger a spurt of activity in the AI field in India, instead of waiting for technology to reach a level where regulatory intervention becomes necessary. The study said a range of applications for AI techniques in large-scale public endeavours like "Make in India", "Skill India" and others could range from crop insurance schemes, tax fraud detection, detecting subsidy leakage and security strategy. The study added that in comparison to the West and frontrunners of AI adoption in Asia, such as China and Korea, the culture and infrastructure needed to develop a base for the adoption of AI in mainstream applications in India is in need of an impetus.


How Four AI Startups Help Brands Exploit Customer Reviews

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Revuze analyses aren't limited to reviews; the company's tech applies applies NLP for topic, keyword, and sentiment extraction from, additionally, survey responses, call-center text, and social media. It extracts opinion words and phrases and fine-grained sentiment and provides analyses by review and by opinion holder with the ability to generate customer profiles. Use spaCy NLP -- SentiGeek's choice -- for Python native information extraction; spaCy plays nice with TensorFlow, Keras, Scikit-Learn, Gensim, and the rest of Python AI ecosystem." We will see a continued strong market for analytics -- NLP, machine learning, and data science -- as a best response to the volume–impact combination, text analytics and also image and video analytics that can detecting entities, emotions, and context in diverse media.



How AI Is Transforming Drug Creation

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But samples also were sent to a lab where computers using artificial intelligence are changing the way pharmaceutical companies develop drugs. Biological insights driven by machine learning also could help pharmaceutical companies better identify and recruit patients for clinical trials of therapies most likely to work for them, perhaps boosting the chances of those medications' getting approved by regulatory agencies such as the Food and Drug Administration. AI systems trained on various data sources, including preclinical data sets, have helped make "significant performance improvements" by enabling "better selections of which compounds to…make and test" in the lab and by "flagging" whether compounds might have "toxic" effects or "unexpected favorable" ones, he says. German pharmaceutical company Merck KGaA has developed two drugs using computer-vision software, which analyzes images of cells and tissues, and other AI systems capable of drawing insights from public databases of genetic and chemical information, says Joern-Peter Halle, Merck KGaA's head of external innovation.


How AI Is Transforming Drug Creation

#artificialintelligence

But samples also were sent to a lab where computers using artificial intelligence are changing the way pharmaceutical companies develop drugs. Biological insights driven by machine learning also could help pharmaceutical companies better identify and recruit patients for clinical trials of therapies most likely to work for them, perhaps boosting the chances of those medications' getting approved by regulatory agencies such as the Food and Drug Administration. AI systems trained on various data sources, including preclinical data sets, have helped make "significant performance improvements" by enabling "better selections of which compounds to…make and test" in the lab and by "flagging" whether compounds might have "toxic" effects or "unexpected favorable" ones, he says. German pharmaceutical company Merck KGaA has developed two drugs using computer-vision software, which analyzes images of cells and tissues, and other AI systems capable of drawing insights from public databases of genetic and chemical information, says Joern-Peter Halle, Merck KGaA's head of external innovation.


6 Ways Artificial Intelligence Will Shape Your Digital Marketing… Digital Brinq

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In addition to content creation, AI allows marketers to target content promotion. In the future, this information will be used to personalize website algorithms and automated email content, formulating articles relevant to the customer based on data. Rather than requiring the sales team to call all leads, propensity models generated by machine learning can be trained to score leads, allowing the sales team to establish how likely a lead is to buy. Dynamic price optimization through machine learning can help boost sales by correlating pricing trends with sales trends by using an algorithm, which will only offer promotions to those needed to convert.


[slides] #Monitoring with #ArtificialIntelligence @CloudExpo @Dynatrace #DevOps #AI #ML #DX

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With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. Join Cloud Expo @ThingsExpo conference chair Roger Strukhoff (@IoT2040), October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 21st Cloud Expo @ThingsExpo October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.