- Let’s Pool Our Medical Data (TED) — John Wilbanks (of Science Commons fame) gives a strong talk for creating an open, massive, mine-able database of data about health and genomics from many sources. Money quote: Facebook would never make a change to something as important as an advertising with a sample size as small as a Phase 3 clinical trial.
- Verizon Sells App Use, Browsing Habits, Location (CNet) — Verizon Wireless has begun selling information about its customers’ geographical locations, app usage, and Web browsing activities, a move that raises privacy questions and could brush up against federal wiretapping law. To Verizon, even when you do pay for it, you’re still the product. Carriers: they’re like graverobbing organ harvesters but without the strict ethical standards.
- IBM Watson About to Launch in Medicine (Fast Company) — This fall, after six months of teaching their treatment guidelines to Watson, the doctors at Sloan-Kettering will begin testing the IBM machine on real patients. [...] On the screen, a colorful globe spins. In a few seconds, Watson offers three possible courses of chemotherapy, charted as bars with varying levels of confidence–one choice above 90% and two above 80%. “Watson doesn’t give you the answer,” Kris says. “It gives you a range of answers.” Then it’s up to [the doctor] to make the call. (via Reddit)
- Robot Kills Weeds With 98% Accuracy — During tests, this automated system gathered over a million images as it moved through the fields. Its Computer Vision System was able to detect and segment individual plants – even those that were touching each other – with 98% accuracy.
ENTRIES TAGGED "ibm"
Medical Data Commons, Verizon Sell You, Doctor Watson, and Weedkilling Drones
Microsoft wants to Kinect with Windows users, more junk patents, and free programming lessons are everywhere.
Microsoft thinks the Kinect has a bright future with the PC. Elsewhere, we have a new contender for worst software patent ever, and the mayor of New York City wants to get his geek on.
IBM taps the cloud to make Hadoop easier, Factual cleans geo data, Google gets transparent with gov data requests.
IBM targets businesses with a cloud-based Hadoop product, Factual tackles incomplete geo records, and Google embraces transparency by publishing and explaining the data requests it gets from governments.
It's unlikely IBM or Apache will lead the Java community.
Why did Mike Loukides leave IBM and Apache out of his recent piece, “Who leads the Java Parade?” Because — despite good reasons — they both opted out.
Jeopardy was fun, but Watson's practical applications are what's really interesting.
Aside from whipping the pants off two Jeapardy geniuses, the Watson computer is opening the door to new monetization possibilities for search.
Special Jeopardy edition featuring Nokia, MacBook Pro rumors, and Google's Public Data Explorer.
Tired of everyone making "Terminator" or "Matrix" references to Watson's domination of its pitiful human rivals? Well, we go old school with our media references, as we look at Nokia's fickleness, new toys for geeks, and Google's campaign for pretty data.
What IBM's acquisition of Netezza means for enterprises.
Netezza sprinkled an appliance philosophy over a complex suite of technologies, making it easier for enterprises to get started. But the real reason for IBM's offer was that the company reset the price/performance equation for enterprise data analysis.
The real value of the Watson supercomputer will come from what it inspires.
While IBM's Watson supercomputer / Jeopardy contestant is a masterpiece of natural language processing, it's important to remember that it's just a learning tool that will help us solve more interesting problems.
Statistical Jeopardy Wins, Mobile Taxonomy, Geodata Mystery, and Machine Learning Blog
- What is IBM’s Watson? (NY Times) — IBM joining the big data machine learning race, and hatching a Blue Gene system that can answer Jeopardy questions. Does good, not great, and is getting better.
- Google Lays Out its Mobile Strategy (InformationWeek) — notable to me for Rechis said that Google breaks down mobile users into three behavior groups: A. “Repetitive now” B. “Bored now” C. “Urgent now”, a useful way to look at it. (via Tim)
- BP GIS and the Mysteriously Vanishing Letter — intrigue in the geodata world. This post makes it sound as though cleanup data is going into a box behind BP’s firewall, and the folks who said “um, the government should be the depot, because it needs to know it has a guaranteed-untampered and guaranteed-able-to-access copy of this data” were fired. For more info, including on the data that is available, see the geowanking thread.
- Streamhacker — a blog talking about text mining and other good things, with nltk code you can run. (via heraldxchaos on Delicious)