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A human-machine collaboration to defend against cyberattacks
... PatternEx starts with the assumption that algorithms can’t protect a system on their own. The company has developed a closed loop ... unsupervised, so it ends up showing a lot of alerts, and people end up shutting it down. The big difference is that PatternEx allows the ...
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Q&A: Cathy Wu on developing algorithms to safely integrate robots into our world
... I decided to study engineering. I wanted to help as many people as a medical doctor could. At MIT, I looked for applications in ... systems is a huge undertaking. For example, we don’t know whether autonomous vehicles will cut energy use by 40 percent, or double ...
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LIDS faculty help students combine artificial intelligence with their passions
... an algorithm to detect previously unidentified mutations in people with autism which cause some cells to carry too much or too little ... with the client, was another. “If something didn’t work, I could remotely connect to my computer at MIT, adjust the code, and ...
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Ethical Trials, Targeted Ads
... devices face a problem that most empirical inquiries don’t: They must not only provide clear data about toxicity and efficacy but also ... So clinical trials instead group subjects into batches. “People have started batching on the Internet as well, because it’s just too ...
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IDSS Conversations: Guy Bresler
... draw an edge, or line, between them, and some of them aren’t connected. When learning the model, the goal is to understand what’s ... home? A: LIDS is a wonderful place where people have a lot of freedom to think about challenging and interesting ... happening. There’s a steadily growing critical mass of people working on related questions, which creates a lot of energy. This builds ...
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LIDS Faculty Lead New IDSS and MITx MicroMasters Program in Statistics and Data Science
... a professional overview of data science, but they don’t offer the level of detail learners gain from an actual, residential ... around the world, and at a very accessible price, so people can learn anywhere they are while keeping their day jobs.” In all, ...
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Model beats Wall Street analysts in forecasting business financials
... “It’ll be useful for anyone who wants to figure out what people are doing,” Fleder says. Joining Fleder on the paper is EECS ... data is noisy, how do you know how noisy it is? We don’t have access to the ground truth for daily or weekly sales totals. But the ...
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The too-smart-for-its-own-good grid
... however, shows that this policy could backfire. If too many people set appliances to turn on, or devices to recharge, when the price of ... loop: Price varies according to demand, but demand doesn’t vary according to price. Smart meters could close that loop, drastically ...
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What buyers want
... Using Celect software, the retailer’s analysts noticed people buying soccer shorts and certain watches in some stores were also buying fancy hats for church. Church hats weren’t on sale at one particular store, so the chain stocked those hats, which sold ...
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Strengthening trust in machine-learning models
... making this taxonomy, is that it really highlights where people are focusing. I think a lot of research naturally focuses on this level ... Broderick says. “It sounds simple. Why didn’t we measure the thing that we cared about? But I think it’s really common ...