Technologies of the future, but where are AI and ML headed to?

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Today, when we look around, the technological advances in recent years have been immense. We can see driverless cars, hands-free devices that can turn on the lights, and robots working in factories, which prove that intelligent machines are possible. In the last four years in the Indian startup ecosystem, the terms that were used (overused rather) more than funding, valuation, and exit were artificial intelligence (AI) and machine learning (ML). We also saw investors readily putting in their money in startups that remotely used or claimed to use these emerging technologies. From deeptech, ecommerce, fintech, and conversational chatbots to mobility, foodtech, and healthcare, AI and ML have transformed most industry sectors today.


Utility Outage Prediction: Embracing Advanced Analytics and Machine Learning Solutions [Whitepaper]

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Using cognitive, cloud-based solutions -- such as outage prediction models -- gives utilities the opportunity to take a proactive stance against impactful weather. It is critical for utilities to determine the level of impact weather can have on their system and take the appropriate actions in advance of both major storms and everyday changes in weather patterns. This reality introduces a key question for energy providers: How can predictive analytical tools create operational and financial benefits for their organizations?



MIT 6.S191: Introduction to Deep Learning

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Sign in to report inappropriate content. MIT Introduction to Deep Learning 6.S191: Lecture 1 *New 2019 Edition* Foundations of Deep Learning Lecturer: Alexander Amini January 2019 For all lectures, slides and lab materials: http://introtodeeplearning.com





what3words Releases New Voice API to Assist with Navigation

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The speech recognition specialist what3words has released a new end-to-end Voice API that was designed to help people figure out where they're going. To that end, the API will allow users to say any three words, and what3words will provide them the address and GPS coordinates that they're trying to get to. The Voice API is built with machine learning and speech recognition technology from Speechmatics, and can be integrated into virtually any service or application. According to what3words, an address request is completed with only a single API call, making the system much simpler to deploy than alternatives that need to blend multiple APIs. The company claims that it takes only a few hours to get the platform up and running.


Using AI and machine learning to forecast lightning - TechCrunchX

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As one of the most irregular phenomena in nature, lightning is very disturbing. Scientists have lately made an AI system that forecasts lightning up to 30 minutes before it strikes. Lightning regularly kills animals and people, initiates fires, destroys power lines and keeps aircraft stranded. Till now, it has been almost out of the question to predict lightning, with no simple technology for predicting where and when it will strike the earth. Engineers at the Ecole Polytechnique Federale de Lausanne's (EPFL) School of Engineering built a simple and cheap system to forecast when lightning will strike.


Placer.ai raises $12M to expand location data services

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Placer.ai is among the companies seeking to expand in the high-growth industry of collecting location data from mobile consumers, a practice that has alarmed privacy advocates but continues to draw interest from investors, as this news shows. Spending on location analytics is expected to grow to $15 billion by 2023 from $8.35 billion in 2017, Placer.ai said in a study cited by Bloomberg. These businesses can use the information to identify where to rent or buy properties, or to measure the effect of advertising campaigns on consumer behavior such as store visits. In addition to helping businesses identify where to rent properties in areas of high foot traffic, real-time location data can help to boost the effectiveness of ad campaigns, according to a report last year by location data provider Factual. Location-based marketing, which Martin Sorrell, former CEO of ad-holding giant WPP, once described as the "holy grail" for advertising, reaches consumers when they're most ready to shop, dine out or visit an entertainment venue.