Machine-Learning Maestro Michael Jordan on the Delusions of Big Data and Other Huge Eng... - 0 views
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"Now, the number of combinations of these columns grows exponentially with the number of columns. So if you have many, many columns-and we do in modern databases-you'll get up into millions and millions of attributes for each person. Now, if I start allowing myself to look at all of the combinations of these features-if you live in Beijing, and you ride bike to work, and you work in a certain job, and are a certain age-what's the probability you will have a certain disease or you will like my advertisement? Now I'm getting combinations of millions of attributes, and the number of such combinations is exponential; it gets to be the size of the number of atoms in the universe."
US military aims to create cyborgs by connecting humans to computers | Technology | The... - 0 views
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"The US government is researching technology that it hopes will turn soldiers into cyborgs, allowing them to connect directly to computers. The US military's Defense Advanced Research Projects Agency (Darpa) has unveiled a research programme called Neural Engineering System Design (NESD) which aims to develop an implantable neural interface, connecting humans directly to computers."
A dangerous piece of PC ransomware is now impossible to crack - 0 views
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"TeslaCrypt ransomware with new features that are impossible to crack, according to Cisco's Talos security arm. That means user infected with the latest version (3.01) of the malware can no longer use white hat-engineered software to get their files back. Until someone finds a new solution -- and that seems unlikely -- victims will have to pay."
Technologist Vivienne Ming: 'AI is a human right' | Technology | The Guardian - 0 views
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"At the heart of the problem that troubles Ming is the training that computer engineers receive and their uncritical faith in AI. Too often, she says, their approach to a problem is to train a neural network on a mass of data and expect the result to work fine. She berates companies for failing to engage with the problem first - applying what is already known about good employees and successful students, for example - before applying the AI."
Trump idea on regulating Google 'unfathomable' - Channel NewsAsia - 1 views
Are Google search results politically biased? | Jeff Hancock et al | Opinion | The Guar... - 1 views
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"This way of thinking about search results is wrong. Recent studies suggest that search engines, rather than providing a neutral way to find information, may actually play a major role in shaping public opinion on political issues and candidates. Some research has even argued that search results can affect the outcomes of close elections. In a study aptly titled In Google We Trust participants heavily prioritized the first page of search results, and the order of the results on that page, and continued to do so even when researchers reversed the order of the actual results."
Tech Workers Now Want to Know: What Are We Building This For? - 0 views
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"Across the technology industry, rank-and-file employees are demanding greater insight into how their companies are deploying the technology that they build. At Google, Amazon, Microsoft and Salesforce, as well as at tech startups, engineers and technologists are increasingly asking whether the products they are working on are being used for surveillance in places like China or for military projects in the United States or elsewhere."
Tech workers are downing tools and refusing to work on unethical projects / Boing Boing - 0 views
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"Tech workers are in demand: companies find it easier to raise cash than to hire engineers; this gives workers enormous bargaining power, and they're using it. From the Google uprisings over a Pentagon babykiller project and a Chinese surveillance project to the Microsoft uprising over ICE contracts, tech workers are emerging as part of the solution -- while their secretive, shareholder-haunted bosses are more and more the problem."
The Glass Room - 0 views
Basic common sense is key to building more intelligent machines | New Scientist - 0 views
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"At Imperial College London, Murray Shanahan and colleagues are working on a way around this problem using an old, unfashionable technique called symbolic AI. "Basically this meant an engineer labelled everything for the AI," says Shanahan. His idea is to combine this with modern machine learning. Symbolic AI never took off, because manually describing everything quickly proved overwhelming. Modern AI has overcome that problem by using neural networks, which learn their own representations of the world around them. "They decide what is salient," says Marta Garnelo, also at Imperial College."
Algorithm Give Better Breast Cancer Diagnosis | Health News - 0 views
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"Unlike other companies, Zebra's algorithms provide an actual diagnosis, completely automatically using only imaging data. This is a very new field - older technology was always driven by the radiologist, and never automatic. The algorithms are part of the Zebra Analytics Platform - a cloud based analytics engine that receives medical imaging studies, analyzes them and returns results to participating hospitals and physicians."
Machine-learning photo-editor predicts what should be under your brush / Boing Boing - 0 views
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"In Neural Photo Editing With Introspective Adversarial Networks, a group of University of Edinburgh engineers and a private research colleague describe a method for using "introspective adversarial networks" to edit images in realtime, which they demonstrate in an open project called "Neural Photo Editor" that "enhances" photos by predicting what should be under your brush."
Chinese schools are testing AI that grades papers almost as well as teachers | VentureBeat - 0 views
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"It is also self-improving. The 10-year-old grading software leverages deep learning algorithms to "compare notes" with human teachers' scores, suggestions, and comments. An engineer involved in the project compared its capabilities to those of AlphaGo, the record-breaking AI Go player developed by Google subsidiary DeepMind."
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