OpenAI’s text generator, machine learning-powered—so powerful that it was thought too dangerous to release to the public, has, guess what, been released.
OpenAI published a blog post announcing its decision to release the algorithm in full as it has “seen no strong evidence of misuse so far.”
Well, that was a turnaround.
There’s something unsettling about a private firm making powerful autonomous machines – but what’s scarier is who’s building them, and why.
The philosophy that we should merge with machines to expand our intelligence and extend life is gaining traction. Design, scientific and technological frontiers are being pushed to redefine nature through AI, AR, biotech, genetics, and VR.
Each one weighs about 20 pounds (or nine kilograms), is powered by 12 electrical motors, and can reach speeds of around six miles per hour (or 2.5 meters per second). As you can see in the video, they’re all being steered manually using what look like RC controllers.
Speaking to IEEE Spectrum earlier this year, Sangbae Kim, director of MIT’s biomimetics lab, said the bots are being used to research various problems that require a bit of ruggedness and flexibility. Their modular design lets scientists swap in new parts if they break, and their tough build can survive crashes and bangs.
ROCHESTER, Minn. — A Mayo Clinic study finds that applying artificial intelligence (AI) to a widely available, inexpensive test – the electrocardiogram (EKG) – results in a simple, affordable early indicator of asymptomatic left ventricular dysfunction, which is a precursor to heart failure. The research team found that the AI/EKG test accuracy compares favorably with other common screening tests, such as mammography for breast cancer. The findings were published in Nature Medicine.
Asymptomatic left ventricular dysfunction is characterized by the presence of a weak heart pump with a risk of overt heart failure. It affects 7 million Americans, and is associated with reduced quality of life and longevity. But asymptomatic left ventricular dysfunction is treatable when identified.
A company claims to make the world’s first humanoid android and offers ‘digital immortality.
Ironically #AI has been proven to develop racial and gender bias. Gee, I wonder why?
For the second year in a row, more than a dozen AI researchers from African countries have been denied visas to a major AI conference in Canada.
Canada’s decision to refuse visas to African AI researchers seems ham-fisted, given that the country’s tech industry has been the beneficiary, in recent years, of America’s move toward isolationism. In 2017, Trudeau launched a visa program designed to attract high-tech workers—including those who found themselves unable to get into the US—by streamlining Canada’s visa-approval process. The recent decision to block access to NeurIPS for a diverse pool of talent appears to be a step in the opposite direction.
Continue reading “African AI Experts Get Excluded From a Conference—Again” »
If Goldman Sachs’ new tool launches through Marcus, a human-digital hybrid approach would be a wise choice.
Goldman Sachs created a market-ready robo advisor and is mulling how to launch it, Financial Planning reports. The automated platform will represent Goldman’s digital entry into the smaller investor market, per Rachel Schnoll — who recently became the head of Goldman’s FinLife CX RIA platform — as cited by Financial Planning. The new robo advisor may be built in part on algorithms that Goldman acquired from financial life management firm United Capital, when it acquired the company for $750 million in May.
The new robo advisor could be introduced to the market via Goldman’s Marcus segment — here’s why it would be a good match. Goldman could extend a portion of the personal touch it brings to its Private Wealth Management clients to Marcus clients by offering them financial advice via the new robo advisor.
Continue reading “Goldman Sachs has created a market-ready robo advisor” »
A UCLA research team has devised a technique that extends the capabilities of fluorescence microscopy, which allows scientists to precisely label parts of living cells and tissue with dyes that glow under special lighting. The researchers use artificial intelligence to turn two-dimensional images into stacks of virtual three-dimensional slices showing activity inside organisms.
In a study published in Nature Methods, the scientists also reported that their framework, called “Deep-Z,” was able to fix errors or aberrations in images, such as when a sample is tilted or curved. Further, they demonstrated that the system could take 2-D images from one type of microscope and virtually create 3D images of the sample as if they were obtained by another, more advanced microscope.
Continue reading “Researchers convert 2-D images into 3D using deep learning” »
