Connect Google MIT Water 
Cars That Think
APRIL 30, 2024
The nonprofit was one of seven winners last year of MIT Solve’s Gender Equity in STEM Challenge. The MIT Solve Gender Equity in STEM Challenge thoroughly vets all applicants—their theories, practices, organizational health, and impact,” Smith says. The initiative supports organizations that work to address gender barriers.
Cars That Think
APRIL 8, 2022
Measuring water quality throughout river networks with precision, speed and at lower cost than traditional methods is now possible with AquaBOT, an aquatic drone developed by Oak Ridge National Laboratory. Andy Zeng at Google gives a talk on "Retrospectives on Scaling Robot Learning.". CHI 2022 ]. Thanks, Mirek!
Cars That Think
AUGUST 12, 2021
He came up with a mechanical barrier system that attaches to the hood and connects to the car's electronic control unit. The incoming freshman at MIT won $600. Rip currents are dangerous phenomena that can pull swimmers into deep water. The outer layer is made of energy-absorbing material, and the second layer is made of metal.
Cars That Think
JUNE 28, 2023
The award is sponsored by Google. People were really interested in clean air and clean water, so I decided there would always be interest in the environment,” Crawford says. People were really interested in clean air and clean water, so I decided there would always be interest in the environment.”
Cars That Think
MAY 17, 2023
Best known as a robotics researcher, academic, and entrepreneur, Brooks is also an authority on AI: he directed the Computer Science and Artificial Intelligence Laboratory at MIT until 2007, and held faculty positions at Carnegie Mellon and Stanford before that. So it’s a lot better than just a 10-word Google search. Or 60,000 tokens.
Cars That Think
MAY 28, 2024
We’re already starting to see some evidence that this might work well : Chelsea Finn , Vincent Vanhoucke , and several others pointed to the recent RT-X and RT-2 papers from Google DeepMind as evidence that training a single model on large amounts of robotics data yields promising generalization capabilities. The reason?
Cars That Think
SEPTEMBER 24, 2021
Even his inaugural paper was forced to acknowledge the voracious appetite of neural networks for computational power, bemoaning that "as the number of connections in the network increases.the burden on a conventional digital computer soon becomes excessive.". But Rosenblatt's ambitions outpaced the capabilities of his era—and he knew it.
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