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Scale AI releases free lidar data set to power self-driving car development

High-quality data is the fuel that powers AI algorithms. Without a continual flow of labeled data, bottlenecks can occur and the algorithm will slowly get worse and add risk to the system.

It’s why labeled data is so critical for companies like Zoox, Cruise and Waymo, which use it to train machine learning models to develop and deploy autonomous vehicles. That need is what led to the creation of Scale AI, a startup that uses software and people to process and label image, lidar and map data for companies building machine learning algorithms. Companies working on autonomous vehicle technology make up a large swath of Scale’s customer base, although its platform is also used by Airbnb, Pinterest and OpenAI, among others.

The COVID-19 pandemic has slowed, or even halted, that flow of data as AV companies suspended testing on public roads — the means of collecting billions of images. Scale is hoping to turn the tap back on, and for free.

We’re fighting fake news AI bots

Any time you log on to Twitter and look at a popular post, you’re likely to find bot accounts liking or commenting on it. Clicking through and you can see they’ve tweeted many times, often in a short time span. Sometimes their posts are selling junk or spreading digital viruses. Other accounts, especially the bots that post garbled vitriol in response to particular news articles or official statements, are entirely political.

It’s easy to assume this entire phenomenon is powered by advanced computer science. Indeed, I’ve talked to many people who think machine learning algorithms driven by machine learning or artificial intelligence are giving political bots the ability to learn from their surroundings and interact with people in a sophisticated way.

During events in which researchers now believe political bots and disinformation played a key role—the Brexit referendum, the Trump-Clinton contest in 2016, the Crimea crisis—there is a widespread belief that smart AI tools allowed computers to pose as humans and help manipulate the public conversation.

A New Bionic Eye Could Give Robots and the Blind 20/20 Vision

Good news.


In a paper published last week in Nature, though, researchers from Hong Kong University of Science and Technology devised a way to build photosensors directly into a hemispherical artificial retina. This enabled them to create a device that can mimic the wide field of view, responsiveness, and resolution of the human eye.

“The structural mimicry of Gu and colleagues’ artificial eye is certainly impressive, but what makes it truly stand out from previously reported devices is that many of its sensory capabilities compare favorably with those of its natural counterpart,” writes Hongrui Jiang, an engineer at the University of Wisconsin Madison, in a perspective in Nature.

Key to the breakthrough was an ingenious way of implanting photosensors into a dome-shaped artificial retina. The team created a hemisphere of aluminum oxide peppered with densely-packed nanoscale pores. They then used vapor deposition to grow nanowires inside these pores made from perovskite, a type of photosensitive compound used in solar cells.

‘I want to totally re-engineer my body’ — Natasha Vita-More interview

You might be interested in my latest interview with Natasha Vita-More, transhumanist writer and executive director of Humanity+, covering human augmentation, the world transhumanist movement and whole-body prosthetics.

Trying to grow my transhumanism related channel so super grateful for any subs: https://www.youtube.com/channel/UCnVLqMgLDwO-aSk5YcYo1dA


I interview Natasha Vita-More, a transhumanist thinker who wrote the ‘Transhumanist Statement’ and is the Executive Director of Humanity+, formerly the World Transhumanist Association.

We cover artificial intelligence, whole body prosthetics, radical life extension, upgrading the human body and the world transhumanist movement amongst other topics.

Biometric privacy lawsuit decisions: Clearview AI loses, Shutterfly and Southwest win, TikTok in trouble

A biometric data privacy suit against Clearview AI will move forward, and in the District Court for Northern Illinois, as requested by the plaintiff, after a pair of rulings by Judge Sharon Johnson Coleman reported by Law Street Media.

There are two separate BIPA cases currently ongoing against Clearview, known by their plaintiffs Hall and Mutnick. Mutnick filed a motion for a preliminary injunction several months into the case, and says in a clarified motion for reassignment that it is seeking to have Hall v. Clearview AI, Inc., et al. moved to Illinois, and that plaintiff Hall agrees with the motion.

Clearview had filed a motion to stay the proceedings pending decisions on its motion to dismiss based on personal jurisdiction, and to move the case to the Southern District of New York, where the company is based. In New York, Chief Justice Colleen McMahon said that because the suit applies an Illinois state law and includes class members based on their Illinois residence at the time of the alleged violation, it is not clear that the cases belong in New York district court.

5 of The Best Artificial Intelligence Books You Must Read

Artificial intelligence is everywhere, from the robots manufacturing cars in factories to the smartphone in your pocket, and understanding what AI actually is will give you a better understanding of the technology that surrounds us.

Professor Mark Lee is a computer scientist at Aberystwyth University. His new book, How to Grow a Robot, is all about how to design robots and artificial intelligence so that they are more social, more friendly, more playful – more human.

Whether you’re a beginner or deep into all things AI, as an expert in artificial intelligence, Mark’s pick of science books about machine learning and intelligent algorithms will have you thinking in ones and zeros in no time.

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