↳ Machinelearnings.co

Machine Learnings — Google to help DoD analyze drone footage

Machine Learnings — Google to help DoD analyze drone footage Image source Awesome, not awesome. #Awesome“Imagine the role that A.I. might play during surgery. The goal need not be to automate the process entirely. Instead, a combination of smart software and specialized hardware could help surgeons focus on their strengths — traits like dexterity and adaptability — while keeping tabs on more mundane tasks and protecting against human error, fatigue and distraction.
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↳ Machinelearnings.co

Machine Learnings — Creepy AI surveillance, Strokes, and Gun Control

Machine Learnings — Creepy AI surveillance, Strokes, and Gun Control Source Awesome, not awesome. #Awesome“[Viz] has trained machine-learning algorithms similar to those that an iPhone uses to spot cats in your photos to detect blockages in major brain blood vessels. When the software thinks it has found a blockage — suggesting the most common form of stroke — it sends an alert to a brain specialist’s smartphone asking them to review the images.
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↳ Machinelearnings.co

Machine Learnings — How to develop an AI product

Machine Learnings — How to develop an AI product Awesome, not awesome. #Awesome“The internet is riddled with websites set up for the sole purpose of stealing a user’s information or installing malware on a victim’s machine. Antivirus companies blacklist them as fast as they can, but with new sites launched every day, it’s a Sisyphean effort to keep up. A new [machine learning] system called URLNet uses neural networks that look at character-level and word-level combinations in — you guessed it — the site’s URL to detect a site’s risk.
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Moving from a default trust to default skeptic society

What the future of technology does to the future of trust. I’ve been spending a lot of time thinking about how new forms of AI and machine learning will shape society over the next decade. One area I’ve gone deep on is how the widespread manipulation and generation of digital assets will manifest itself in our daily lives. My main takeaway in my research thus far is this: We are moving from a default trust society to a default skeptic society.
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YouTube’s algorithm is back in the news for all the wrong reasons

Source Awesome, not awesome. #Awesome“….Alonso Martinez [technical director at Pixar Animation Studios] pointed out that we have an extremely accurate technological approach to pain quantification in the form of MRI scanning, but that this is expensive and highly invasive. We can also imagine it being unnecessary in an era where machines can parse vast troves of data to build predictive models of once unquantifiable things, such as suffering reflected in the microexpressions of a face…” Michael Byrne, Editor Learn More on Motherboard #Not Awesome“The current language in the killer robot debate suggests that those weapons are capable of acting without meaningful human control, and that their creation and use is somehow distinct from other sorts of collective actions.
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↳ Artificial-Intelligence Blog

Using Amazon’s Mechanical Turk for Machine Learning Data

Sometimes you already have a large amount of historical data and a precise ground truth knowledge about each data point, in which case your dataset is already labelled and all you need to do is clean, normalize, sub-sample, analyze, and train a model, and then iterate until you achieve a good evaluation. Ever since the term “crowdsourcing” was coined in 2006, it’s been a buzzword for technology companies and social institutions.
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↳ Artificial-Intelligence Blog

Time for Technology’s EQ to Equal its IQ

The 2018 Tech Trends report released at SXSW 2018 predicts that by 2021 more than half of all computing in developed nations will be performed with voice. “It’s basically time for technology’s EQ to equal its IQ. I think we have a lot of brute IQ, a lot of functional stuff that can be done, but this new paradigm is inherently social, and when you think of language, it’s like the marker of our species, it’s like we’re connecting with these things in a way where it can’t just be that functional cognitive layer.
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↳ Artificial-Intelligence Blog

Pitfalls of Artificial Intelligence

No one could argue that life hasn’t been more convenient since the initial breakthrough of artificial intelligence (AI) in 2012. The world is moving faster and faster, driven by technology and innovation. From speech recognition to facial recognition allowing you to unlock the new iPhone with your face to cars self-navigating the streets in Silicon Valley, AI is all around us. And if a seating chart is telling for a tech company’s priorities, Google’s AI researchers were recently moved to sit near the boss in its Silicon Valley office.
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↳ Artificial-Intelligence Blog

Competitive Advantages of Deep Learning for Your Business

What do you think of when you hear about AI? Do you picture your favourite sci-fi movie or a book that you read when you were younger? In that favourite book or movie, were the robots smart? Could they learn? Today’s software robots can. In AI, we can find a subset of machine learning called “deep learning,” which is defined as networks that can learn unsupervised from unstructured data. Now the bigger question is: Are you ready to take advantage of deep learning in your business?
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↳ Artificial-Intelligence Blog

Xiaomi Heavily Investing in AI Research for Smartphone Chips

TL;DR Xiaomi is doing research to decide whether they want to include custom AI chips in their future smartphones in order to speed up local AI processing, rather than requiring the cloud for AI. Xiaomi is researching chips that enable artificial intelligence (AI) on mobile devices but has not made a decision on whether to make one. “We are also working on doing a lot of research on AI on chips,” — Wang Xiang of Xiaomi There’s been a lot of focus from smartphone makers to create chips that enable better AI applications.
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