Lifeboat Foundation

China is trailblazing AI regulation, with the goal of being the AI leader by 2030. We look at its #AI ethics guidelines.

The best agile and lean development conferences of 2022.

The European Union had issued a preliminary draft of AI-related rules in April 2021, but we’ve seen nothing final. In the United States, the notion of ethical AI has gotten some traction, but there aren’t any overarching regulations or universally accepted best practices.

Scanning for Memories

At the time there was almost no evidence of this from neuron studies. But in 2006, Ma, Pouget and their colleagues at the University of Rochester presented strong evidence that populations of simulated neurons could perform optimal Bayesian inference calculations. Further work by Ma and other researchers over the past dozen years offered additional confirmations from electrophysiology and neuroimaging that the theory applies to vision by using machine learning programs called Bayesian decoders to analyze actual neural activity.

Neuroscientists have used decoders to predict what people are looking at from fMRI (functional magnetic resonance imaging) scans of their brains. The programs can be trained to find the links between a presented image and the pattern of blood flow and neural activity in the brain that results when people see it. Instead of making a single guess — that the subject is looking at an 85-degree angle, for instance — Bayesian decoders produce a probability distribution. The mean of the distribution represents the likeliest prediction of what the subject is looking at. The standard deviation, which describes the width of the distribution, is thought to reflect the subject’s uncertainty about the sight (is it 85 degrees or could it be 84 or 86?).

Could it really happen?Looks like Meta is swinging for the cheap seats.

Looks like Meta is swinging for the cheap seats.

The social media superpower Meta (formerly Facebook) has announced that it has built an “AI supercomputer” — an unconscionably fast computer designed to train and enhance machine-learning systems, according to a Monday post from Meta CEO Mark Zuckerberg.

Continue reading “Facebook’s Meta Says Its New AI Supercomputer Will Beat All Rivals by 2022’s End” »

It could hardly be more complicated: tiny particles whir around wildly with extremely high energy, countless interactions occur in the tangled mess of quantum particles, and this results in a state of matter known as “quark-gluon plasma”. Immediately after the Big Bang, the entire universe was in this state; today it is produced by high-energy atomic nucleus collisions, for example at CERN.

Such processes can only be studied using high-performance computers and highly complex computer simulations whose results are difficult to evaluate. Therefore, using artificial intelligence or machine learning for this purpose seems like an obvious idea. Ordinary machine-learning algorithms, however, are not suitable for this task. The mathematical properties of particle physics require a very special structure of neural networks. At TU Wien (Vienna), it has now been shown how neural networks can be successfully used for these challenging tasks in particle physics.

By using hypernetworks, researchers can now preemptively fine-tune artificial neural networks, saving some of the time and expense of training.

Aboard the International Space Station, NASA Expedition 66 Flight Engineers Mark Vande Hei and Kayla Barron of NASA answered pre-recorded questions about life and work as astronauts on the orbital laboratory during an in-flight event Jan. 24 with students attending the Center for Early Childhood Education in Hollywood, California. Vande Hei and Barron are in the midst of long duration missions living and working aboard the microgravity laboratory to advance scientific knowledge and demonstrate new technologies for future human and robotic exploration missions as part of NASA’s Moon and Mars exploration approach, including lunar missions through NASA’s Artemis program.

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A Facebook robot that wraps fiber-optic cable around existing power lines could help bridge the digital divide by bringing internet access to some of the billions of people who currently lack it.

Why it matters: The 60% of the world population with internet access has social, economic, financial, and educational advantages over the other 40%, most of whom live in developing nations or rural areas.

The cost of expanding internet networks is a major barrier to bringing internet access to those people — if the Facebook robot can cut that cost, it could help close this “digital divide” and make the world a more equitable place.

Researchers from Korea’s one of the best science and technology universities, KAIST’s Department of Bio and Brain Engineering, have developed a new artificial intelligence-powered light field camera that can read 3D facial expressions.

The highly capable camera uses a technique that uses infrared light to read facial expressions. Professors Ki-Hun Jeong and Doheon Lee led the research team which developed this artificial intelligence-enabled technology.

The newly developed light-field camera comes with micro-lens arrays in front of the image sensor, allowing it to capture the spatial and directional information of light in a single shot, making it tiny enough to fit into a smartphone.

Meta says it wants to build the most powerful artificial intelligence supercomputer in the world.

The Facebook owner has already designed and built what it calls the AI Research SuperCluster, or RSC, which it says is among the fastest AI supercomputers in the world.

It hopes to top that league by mid-2022, it said, in what would be a major step towards increasing its artificial intelligence capabilities.