Smartron, USC collaborate on research in machine learning, wearables

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"We are pleased to be the first Indian product brand to partner with USC's CHARIOT to collaborate on creating this new and hugely immersive and personalised learning programme based on IoT," said Mahesh Lingareddy, Founder, Smartron founder, on Friday. Smartron recently unveiled "tronX", a first-of-its-kind intelligent ecosystem that connects a range of devices, sensors and systems to "tronX" core, offering evolving experiences and services. "With our wearables powered by "tronX", we will be able to gather and analyse the data to help create the most effective learning interventions for students who may need it," Lingareddy added in a statement. According to CHARIOT, shifting the focus of instruction to incorporate IoT will result in a paradigm shift in understanding the cognitive and emotional processes in the learning sciences and create products that are practical, accessible and scalable.


How Conversational AI Will Change Customer Service

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Thanks to NLP's integration into messaging apps, conversational commerce can help businesses drive sales. ING is catapulting open banking by investing in "conversational banking" technologies to improve banking experiences for its customers and to stay competitive. With all of the benefits that conversational AI brings to businesses, conversational AI will change customer service in a variety of ways. Enterprise leaders should consider incorporating technologies that leverage conversational AI within their AI strategies to stay competitive and provide an enhanced customer experience.


Synapse - ICO rating and details

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Synapse AI is creating a decentralized data and machine learning marketplace and exchange. This will allow anyone to contribute data, train machine learning models, and be compensated for both. Synapse AI is creating the world's first data and intelligence marketplace of researchers, trainers, processors, and contractors that can be accessed at any time. This will power secure exchanges between agents and their data, services, and machine learning models.


Deep Learning Prerequisites: Linear Regression in Python

@machinelearnbot

This course teaches you about one popular technique used in machine learning, data science and statistics: linear regression. Linear regression is the simplest machine learning model you can learn, yet there is so much depth that you'll be returning to it for years to come. We will apply multi-dimensional linear regression to predicting a patient's systolic blood pressure given their age and weight. If you want more than just a superficial look at machine learning models, this course is for you.


The Ben Heck Show: Motor control

Engadget

Stepping onto the other side of the camera, Max decides he wants to learn more about motors, from motor control to motor drivers. Luckily, Felix is on hand to play teacher as he takes Max on a comprehensive tour. Will the combination of DC motors, transistors, electromagnets and Arduino coding prove too much for Mr. Olmstead to master? Or can Felix push his new student to create a successful working concept?


9 reasons you should buy an iPhone 8 instead of an iPhone X

The Independent

All of these phones are powered by Apple's new A11 Bionic chip, a neural engine, and the M11 motion coprocessor. The only difference is how the phones use these features: The iPhone X uses the A11 chip and neural engine for its new face-detection system Face ID, which the iPhone 8 does not have. On paper, the FaceTime HD cameras of the iPhone 8 and 8 Plus are functionally identical to the front-facing camera inside the iPhone X's TrueDepth camera system. The iPhone X has completely different dimensions from past iPhones, so your old cases won't work with this phone -- one more expense to consider when buying this already-expensive phone.


HyperSurvey - Monitoring the seafloor with new eyes

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For example, on a coral reef it can detect coral species, notorious algae, sponges, etc., but the HyperDiver can also identify whether corals are diseased, bleached or if there are any coral-killing starfishes present (i.e., crown-of-thorns starfish). They show two different reefs: the top reef is a healthy, coral dominated reef, while the bottom reef is dominated by macroalgae and turf algae, with very little coral cover. Note that HyperDiver's software can create far more detailed maps than those shown below, in which macroalgae, corals etc. Dimensions of these example scans are 2 x 25 m, but scan dimensions are unlimited.


HyperSurvey - Monitoring the seafloor with new eyes

#artificialintelligence

For example, on a coral reef it can detect coral species, notorious algae, sponges, etc., but the HyperDiver can also identify whether corals are diseased, bleached or if there are any coral-killing starfishes present (i.e., crown-of-thorns starfish). They show two different reefs: the top reef is a healthy, coral dominated reef, while the bottom reef is dominated by macroalgae and turf algae, with very little coral cover. Note that HyperDiver's software can create far more detailed maps than those shown below, in which macroalgae, corals etc. Dimensions of these example scans are 2 x 25 m, but scan dimensions are unlimited.


Machine Learning Lends a Hand for Automated Software Testing - The New Stack

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Now, a set of artificial intelligence-powered options like Microsoft's Security Risk Detection service and Diffblue's security scanner and test generation tools aim to make these techniques easier, faster and accessible to more developers. Microsoft Security Risk Detection (previously known as Project Springfield) takes a slightly different approach. The AI in Springfield combines two techniques; time travel debugging and constraint solving. Molnar is the researcher running the team behind Springfield; previously he helped apply the same techniques to products like Windows and Microsoft Office, finding a third of the security bugs discovered by fuzzing in the Windows 7 client.


Harri Valpola dreams of an internet of beautiful AI minds

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Valpola, 44, is founder of The Curious AI Company, a 20-person artificial intelligence startup based in Helsinki, which has just raised $3.67 million in funding – small change compared to many tech funding rounds, but an impressive sum for a company that has no products and is only interested in research. Wanting to put his theories into practice, Valpola co-founded ZenRobotics, a startup building brains for intelligent robots. At this year's Conference on Neural Information Processing Systems (the leading conference in AI, better known as NIPS), he is going to present a cousin of the ladder network, punningly entitled Mean Teacher. "I've met Harri a few times, and we have similar views on AI and deep learning," says Murray Shanahan, professor of cognitive robotics at Imperial College London.