More than 100 students at a high school in Huntington, https://t.co/Y2LY33ExCv., staged a walkout to protest a Christian assembly they were forced to attend during school last week, chanting "separate the church and state" and "my faith, my choice."
We hosted the amazing @garrytan at @Cruise to share his wisdom on building world-changing companies.
As you can imagine, it was epic.
“I would say a quarter of GDP is today being properly serviced by software engineers and good software.”
Transportation included!
I'll speak about deep reinforcement learning and policy gradients tonight at 7 pm (EST) in Manning at Twitch. No background in ML needed. Don't miss it!
Today Ridecell announces a breakthrough in harnessing the power of IoT–Ridecell #Fleet#IoT#Automation.
The platform complements the existing # #fleetmanagement and vehicle #telematics solutions and unifies data from these systems to automate tasks.
https://t.co/Ehw5k6KI5l
Driving scenarios provide a robust framework for testing & validation of #autonomousdriving systems. Learn about the fundamental elements & spatiotemporal relationships that characterize scenarios, & build an expressive language for representing them.
https://t.co/0pme3SpkrO
Autonomous Vehicles have to share the road with all kinds of drivers. Modeling their behaviors (and reproducing them in simulation) is essential for training our systems to respond appropriately. #AutonomousVehicles#TrafficModeling#Simulation
AV and ADAS teams need to use data and simulation more effectively than ever in the current pandemic.
Here is a glimpse of how we create human-like driving behaviors in simulation platforms, using real-world data distributions
https://t.co/wI5wxDJ3KG
What does it take to learn effective driving policies for #AutonomousVehicles in simulation?
1. Real-world scenarios
2. Data-driven traffic actors
3. Modular learning agents
4. Loads of naturalistic driving data!
Check out our blog -https://t.co/SozIerV4pt
#ReinforcementLearning
Hammerhead, our modular, vehicle-agnostics sensor housing unit is designed to adapt to any vehicle platform to enable autonomy. 🚗Thank you @EngineersNZ for the coverage & @4design_news for partnering with us! #AutonomousVehicles#SelfDrivingCars#design
https://t.co/mF2KSMfIHV
For all the #ReinforcementLearning Enthusiasts out there, we are sharing a beginners guide for training Deep RL agents for the task of #autonomous_driving. Check out our blog and try training your own RL agents to drive in #Unity with the code we shared. https://t.co/3iQywln0w7
Here is a sample of how we automated the process of scenario mining and multiple scenario generation from a single template (simulated in #CARLA). This is a must for both system validation and learning complex driving behaviors at an accelerated pace. #AutonomousVehicles#L4
A new breakthrough reduces the percentage of cobalt in lithium-ion batteries. Now that may not sound like much to most readers, but that reduction lowers the cost of #EVs, boosts their range, and has big implications for the future of #electricvehicles. https://t.co/IsASPN2zIm
@luis_likes_math So relaxing to hear your voice! Amazing lessons - made me wonder what topic mixtures we might find if we model a corpus of recent news articles? :)
Couldn't be more excited about @udacity 's willingness to offer a month of our classes for free. This is an unprecedented situation, and none of us knows where it will lead us. I sincerely hope we will emerge strong and united.
At home and interested in learning some NLP? Check out my two series of videos on Latent Dirichlet Allocation!
Video 1: Blueprint of LDA
https://t.co/qDURHwUaIv
Video 2: Training LDA using Gibbs sampling
https://t.co/NwUxlDvHPV
Wondering how to run @ApolloPlatform with @carlasimulator? Easy - write a bridge and convert Carla's #OpenDRIVE maps to Apollo. Well, there's more to it! Read on: https://t.co/Chjd1ARjga
Meet Hammerhead, the patent-pending, vehicle-agnostic #autonomous sensor unit from @Auro_AI, the Autonomous Driving Division of Ridecell, that's bringing us one step closer to achieving real-world, near-term applications of L4 #autonomy for shared #fleets. https://t.co/GRI6gBuEnj