What happens when you cross cell biology with artificial intelligence? At the Allen Institute for Cell Science, the answer isn’t super-brainy microbes, but new computer models that can turn simple black-and-white pictures of live human cells into color-coded, 3-D visualisations filled with detail.
The online database, known as the Allen Integrated Cell, is now being made publicly available — and its creators say it could open up new windows into the workings of our cells. “From a single, simple microscopy image, you could get this very high-contrast, integrated 3-D image where it’s very easy to see where all the separate structures are,” Molly Maleckar, director of modeling at the Seattle-based Allen Institute, told GeekWire.
Paul Barba (Lexalytics) writes about how you can save your company millions of dollars and years of effort by taking note of the following nine signs of impending failure to avert an AI crisis before it hits.
14 of this year’s intake of Fellows (12) and Foreign Members (2) are women
New Fellows have been elected from across the UK and Commonwealth, including Auckland, Melbourne, Newcastle, Surrey and Toronto, along with those from international institutions in Israel, Ethiopia, Italy and Switzerland
Uber is releasing new information about Uber Air, an ambitious plan to launch a fleet of autonomous flying taxis in two years. “CBS This Morning” got the first look at the design models that will be on display at Tuesday’s Uber Elevate Summit in Los Angeles.
“We think cities are going to go vertical in terms of
transportation and we want to make that a reality,” Dara Khosrowshahi told CBS News’ Bianna Golodryga. The Uber CEO said their new model of an air taxi shows the company’s vision for the future of transportation. It’s a world where passengers request an Uber Air on their phone, then head to rooftop sky ports where the aircraft take off.
Gamalon wants to change the game when it comes to understanding text-based customer communications. Instead of using neural networks to learn about a vast corpus of information, the startup takes a different approach, putting the text in a database and building decision trees to very rapidly train the data to arrive at the required information. They just announced a $20M Series A investment led by Intel Capital.
Gamalon CEO Ben Vigoda says they developed a new approach to analysing customer interactions because the state of the art in AI and machine learning was too much of a black box. His company wants to change that by making the whole process much more interactive. To that end Gamalon also released a new tool called Idea Studio, a product that can automatically build learning trees to help users arrive at answers extremely fast or allow a business analyst or data scientists to simply enter a series of queries and build a decision tree on the fly based on the text. For more, check out this interview with Vigoda from MIT Tech Review.
A team of researchers and software developers led by Hidenori Kawamura, a 44-year-old professor at Hokkaido University’s graduate school, is aiming to create AI that can analyse a vast amount of poetry to generate a haiku written about a subject or scene.
The AI has been learning masterpieces composed by renowned Japanese poets such as Kobayashi Issa (1763-1827) and Masaoka Shiki (1867-1902), and analysing pictures picked by volunteers that correspond to the poems. The researchers still face a number of challenges since so far only 5 percent of the poems make sense. The AI’s vocabulary tends to be archaic as it has been mainly learning old haiku whose copyrights have expired.
Tel Aviv-based startup Bit, also known as CoCycles, uses AI to help companies optimise their use of code. Founded in 2014, Bit developed an algorithm that scans through code, automatically parsing it into modules that can later be searched and reused.
40% of all code developed is made up of previously written lines, Ran Mizrahi, co-founder and CEO of Bit, said in an interview with Calcalist Monday. “This means developers have to constantly reinvent the wheel or waste time on finding existing chunks of code,” he added. The company’s goal is to create Lego-like blocks of code that can be assembled again and again, Mr. Mizrahi said.
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