In the News
Jason Furman, a top economic adviser to President Obama, says good ideas come from everywhere.
AI is invented by humans, and if you look at the top AI engineers, they are spread all over the world.
This tiny startup just raised another $28 million in funding to help people conquer retirement. With more than 110 million Americans over age 50, it’s no wonder people are taking notice.
In The News
We’ve found that it has a diverse set of capabilities, including creating anthropomorphized versions of animals and objects, combining unrelated concepts in plausible ways, rendering text, and applying transformations to existing images.
Now it means that a company gives a press release that they have deployed self driving cars, reporters give breathless headlines about deployment of said self driving cars, and then bury deep within the story that actually there is a person in the loop, sometimes in the car itself, and sometimes…
Applied use cases
According to Cybersecurity and Infrastructure Security, cybersecurity is the art of protecting networks, devices, and data from unauthorized access or criminal use and the practice of ensuring confidentiality, integrity, and availability of information.
Scores of studies show that women and people of color receive less pain medication, lower quality of care, and longer time delays to treatment.
This leads to undercounting how many people are impacted by certain symptoms or diseases, which in turn makes it harder to make a case for increased…
The new union, called the Alphabet Workers Union after Google’s parent company, Alphabet, was organized in secret for the better part of a year and elected its leadership last month.
“Google might well succeed in decimating any organization that comes to the floor.”
CADE Link Round-Up: Medicine’s Machine Learning Problem, A Genealogy of ImageNet, How Google’s Meltdown Could Shape Policy
Here are a few recent articles by or quoting CADE researchers: Medicine’s Machine Learning Problem, by Rachel Thomas Lines of Sight: A genealogy of one of the most important datasets in AI, by Razvan Amironesei, together with Alex Hanna, Emily Denton, Andrew Smart, and Hilary Nicole From…
Frank Pasquale, author of New Laws of Robotics: Defending Human Expertise in the Age of AI, discusses the four most important ideas required to guide progressive AI policy.
Even more importantly, Asimov’s laws are about ensuring robots promote human welfare, whereas mine are about ensuring that…
A new report has found that the Government needs to better coordinate its artificial intelligence (AI) policy and technology by national and local government.
This report examines the progress made by the Government in the implementation of the recommendations made by the Select Committee on…
Kick over this robot and it’ll quickly right itself—not because someone told it how, but because it taught itself to overcome the embarrassment.
In this episode of #therobotindustrypodcast, I speak with Patrick Sobalvarro who is the President and CEO of Veo Robotics, Inc. VEO gets a lot of mention from previous guests on the pod, so I was excited to finally connect with Patrick.
Silicon Valley Robotics Awards SICK Champion Award and Innovation Award as Part of Good Robot Industry Awards Program
Summary Jan. 5, 2021 – The Silicon Valley Robotics (SVR) group awarded SICK two honors as a part of the SVR’s inaugural Good Robot Industry Awards.
In total, 52 companies and individuals were honored in multiple categories for the Good Robot Industry Awards, including categories like innovation,…
Although deep learning has revolutionized computer vision, current approaches have several major problems: typical vision datasets are labor intensive and costly to create while teaching only a narrow set of visual concepts; standard vision models are good at one task and one task only, and require…
Let’s call a first-order embedding of a graph a method that works by directly factoring the graph’s adjacency matrix or Laplacian matrix.
See the following visualizations by Owen Cornec created by first embedding the graph to 32-300 dimensions using a node embedding algorithm, then mapping this to…
You can read other posts for research highlights on generalizable AI (part 1), handling distributional shifts (part 2), optimization for deep learning (part 3), AI4science (part 4), controllable generation (part 5), learning and control (part 6).