BRING DEEP LEARNING ALGORITHMS TO YOUR SECURITY CAMERAS
AI is quickly revolutionizing the security camera industry. Several manufacturers sell cameras which use deep learning to detect cars, people, and other events. These smart cameras are generally expensive though, compared to their “dumb” counterparts. [Martin] was able to bring these detection features to a standard camera with a Raspberry Pi, and a bit of ingenuity. Source: hackaday.com
THE 5 DEEP LEARNING FRAMEWORKS EVERY SERIOUS MACHINE LEARNER SHOULD BE FAMILIAR WITH
Deep Learning requires a lot of computations. It typically involves neural network(s) with many nodes, and every node has many connections—which must be updated constantly during the learning. In other words, at each layer of the network, hundreds and thousands of identical artificial neurons perform the same computation. Therefore, the structure of a neural network fits very well with the kinds of computation that a GPU (Graphic Processing Unit) can efficiently perform—which are designed to compute, in parallel, the same instructions.
Read moreAUTOMATED FRONT-END DEVELOPMENT USING DEEP LEARNING
Automated front-end development using deeplearningSketchCode: Go from idea to HTML in 5secondsAshwin Kumar was previously the co-founder of Sway Finance, a Y Combinator-backed startup that used machine learning to automate accounting. At Insight, he developed a model that allows users to create working HTML websites from hand-drawn wireframes, significantly accelerating the design process. He is now a Deep Learning Scientist at Mythic. Apply now to join the next cohort of researchers and engineers building cutting-edge Applied AI products. The deadline for the next Insight AI Fellowship (both Silicon Valley and New York) is March 26th.
Read moreMACHINE LEARNING TOP 10 OPEN SOURCE PROJECTS
We compared projects with new or major release during this period. Mybridge AI ranks projects based on a variety of factors to measure its quality for professionals. Source: mybridge.co
HOW AI CAN LEARN TO GENERATE PICTURES OF CATS
The generator is a counterfeiter trying to produce seemingly real data. It has no idea of what the real data is, but it learns to adjust from the feedback of the other model. The discriminator is a inspector trying to determine what the fake counterfeit data is (by comparing it with real data), while trying to not raise false positives on the real data.
Read moreGPU-ACCELERATED NEURAL NETWORKS IN JAVASCRIPT
While its feature set is geared towards neural networks, deeplearn.js can be described as a general-purpose machine learning framework. Propel is a library for scientific computing that offers automatic differentiation. Gpu.js provides a convenient way to run JavaScript functions on the GPU. Brain.js is a continuation of an older neural network library and uses gpu.js for hardware acceleration. Source: towardsdatascience.com
AI PSYCHOSIS
Unknown is if they will remain uniquely human. Research in artificial intelligence is making spectacular progress; for manyresearchers, this progress is along the path to developing human-like general AI. This leads to a troubling thought: will a human-like AI inherit human-like disorders of thought? Source: medium.com
WATER SHORTAGES COULD AFFECT 5BN PEOPLE BY 2050, UN REPORT WARNS
Drought and soil degradation are already the biggest risk of natural disaster, say the authors, and this trend is likely to worsen. “Droughts are arguably the greatest single threat from climate change,” it notes. The challenge has been most apparent this year in Cape Town, where residents face severe restrictions as the result of a once-in-384-year drought. In Brasília, the host of the forum, close to 2m people have their taps turned off once in every five days due to a unusually protracted dry period.
Read moreROBOTS ARE TRYING TO PICK STRAWBERRIES. SO FAR, THEY’RE NOT VERY GOOD AT IT
Any 4-year old can pick a strawberry, but machines, for all their artificial intelligence, can’t seem to figure it out. Pitzer says the hardest thing for them is just finding the fruit. The berries hide behind leaves in unpredictable places. Source: npr.org
APPLE NOW HAS MORE SELF-DRIVING CAR PERMITS THAN TESLA, UBER, AND WAYMO
The iPhone maker received its first permit to test self-driving cars on California roads in April 2017. By January, the company had 27 permits, and now has permits to drive 45 self-driving cars in California, Financial Times is reporting. Apple is now second behind General Motors’ Cruise company, which has 110 self-driving car permits in California. Financial Times obtained the permit information from the California Department of Motor Vehicles.
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