Beating Cancer & Detecting Disaster with Deep Learning
The latest in deep learning & autonomous vehicles
Using Data Science to Beat Cancer
There’s no bigger, or more impactful, problem for the AI and broader research community to work on than helping beat cancer. This great piece from Elad Gil and Nancy Brinker highlights some of the challenges involved: “We believe three things need to happen to make data more available for use for cancer research and AI programs. First, patients should be able to contribute data easily. Second, more funding is needed for researchers working at the intersection of AI, data science and cancer. Third, new data sets should be generated, focused on people of all ethnicities.”
Applying Neural Networks to Very High Resolution Satellite Imagery to Detect Damage in Urban Areas
A world where we can continuously feed high-resolution satellite imagery (from a company like Planet) into a neural net, effectively automating disaster detection across the planet, isn’t far away!
Nissan’s Path to Self-Driving Cars? Humans in Call Centers
I’m not certain I agree with the approach, but an interesting take on what to do when facing uncertain road conditions in self-driving cars.
Deep Text Correcter
A version of autocorrect, powered by Deep Learning! Try out the demo.
16 Questions about Self-Driving Cars
When will it become illegal to drive? Will our commutes get longer or shorter? How much will the deep learning networks have been trained in the real world versus virtual reality? Can we get rid of traffic lights? If you’re curious about these topics, check out this presentation from A16Z partner Frank Chen.
Neuroscience and Machine Learning Restore Movement in Paralyzed Man’s Hand
A little old, but definitely worth a read! “Using nerve bypass technology that transmits his thoughts directly to his hand muscles, he has regained control over his right hand and fingers. The system effectively bypasses his spinal injury.”
Using Convolutional Neural Networks to Identify What’s on TV
Inventive use of CNNs for TV ad detection. I wonder what other use cases this might have?
Styling Size-Up: Faraday Future FF 91 vs. Lucid Air
Two new beautiful (and controversial) EVs are looked at side-by-side.
Uber Extends an Olive Branch to Local Governments: Its Data
“The site, which Uber will invite planning agencies and researchers to visit in the coming weeks, will allow outsiders to study traffic patterns and speeds across cities using data collected by tens of thousands of Uber vehicles.”
Deep Learning & Self-Driving Cars Facebook Group
This group is an experiment to see if Facebook can be a good place for discussion of papers, articles and more in deep learning and self-driving cars. Join us!
That’s it for this week, thanks for reading! If you have any thoughts or questions, I’d love to hear from you in Tweet-form. You can follow and message me at @olivercameron.
