Tesla has finally begun manufacturing solar roof tiles

Tesla has apparently begun manufacturing its solar roof tiles at its Buffalo, New York, factory, according to Reuters . The company is also starting the process of surveying the homes of people who placed a deposit on the tiles last year for installation purposes. We’ve reached out to Tesla for confirmation. Pre-orders for the solar roof tiles began back in May ; customers paid $1, 000 as a deposit on the product, and US installation was supposed to start in the summer of 2017. However, unsurprisingly, the process was delayed. But now, it looks as though most of the kinks have been worked out, and Reuters reports that the roofs will be installed in coming months. Tesla claims that the solar roof tiles will cost less than a typical roof, around $21.85 per square foot instead of $24.50. The tiles are a solid option if you’re planning on replacing your roof in the next few years, or if you’re considering solar panels. The tiles look like regular shingles; in fact, not every shingle installed is solar, though you can’t distinguish between the two. You can customize what percentage of your roof tiles are solar in their online tool ; the max is 70 percent. Obviously, the more solar panels you install, the more expensive your roof is. The company is still taking preorders with $1, 000 deposits. You can sign up at their website if you’re so inclined. Source: Reuters

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Tesla has finally begun manufacturing solar roof tiles

An AI detected colorectal cancer with 86 percent accuracy

We’ve heard of many different uses for AI within the medical field , including for prediction of heart attacks and detection of Alzheimer’s . Now, it looks as though machine intelligence could be applied to early detection of cancer as well. A group of Japanese researchers has figured out a way to use AI to spot colorectal cancer tumors before they become malignant, according to Inverse . The team compiled a database of over 30, 000 images of pre-cancerous and cancerous cells in order to help the AI detect the difference between the two. After the machine learning process had taken place, they fed it an image of a colorectal polyp that had its magnification increased by a factor of 500. The program was able to determine within a second whether that specific polyp was cancerous. Dr. Yuichi Mora from Showa University made a presentation about these results this week at the United European Gastroenterology Conference in Barcelona. He cited the AI’s detection accuracy at 86 percent, which is impressive. This is specifically important for colorectal cancer; it’s highly treatable in early stages, but detection often comes very late, after the cancer cells have spread into the bloodstream. The cancer originates as benign polyps in the rectum and colon that turn into malignant tumors. This AI could help detect colorectal cancer early, ensuring that the cancer is treatable for more people. Source: Inverse , PubMed

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An AI detected colorectal cancer with 86 percent accuracy