Categories
Health

With Mission to China, W.H.O. Tries to Rehabilitate Its Picture

A team of World Health Organization scientists said Tuesday in China that the coronavirus is likely to spread to humans first via an intermediate animal host and that the outcome of a laboratory accident is “extremely unlikely”.

The results, presented by the team in Wuhan, China, after 12 days of fieldwork, were the first step in a most likely painstaking process to trace the origins of the global pandemic. This question is crucial to prevent recurrence.

“All of the work that has been done on the virus trying to identify its origin continues to suggest a natural reservoir,” said Dr. Peter K. Ben Embarek, a food safety scientist at WHO who leads the team of experts, at a press conference in Wuhan, the city where the coronavirus was first discovered in late 2019.

Dr. Embarek rejected the idea that the virus could have originated in a laboratory in Wuhan, a theory that has gained traction among some officials and experts in the US and elsewhere. “It was very unlikely that anything could escape from such a place,” he said, citing security protocols.

The WHO experts largely focused their comments on the scientific aspects of their mission. However, the investigation has been overshadowed by politics in many ways.

The Chinese government has further warned that the virus may have come from overseas, an idea many scientists are rejecting. Chinese officials used Tuesday’s press conference to further advance this theory, arguing that the search for the virus’ origin should focus on locations outside of China.

The investigation will “not be limited to one location,” said Liang Wannian, who led the team of Chinese scientists who assisted the WHO mission.

The WHO experts at the three-hour press conference did not question the statements made by Chinese officials. They promised to look into reports of early cases of the virus outside of China. They also called for more research on the animals being sold in a sprawling market in Wuhan, where some of the first cases of the virus were discovered.

The visit was an opportunity for WHO to dispel criticism that it is too respectful of China.

For months, experts and politicians have condemned the WHO for allowing the Chinese government to control the investigation into the cause of the pandemic. Chinese officials, careful not to point out missteps during the outbreak, repeatedly delayed visits by WHO experts and tried to narrow the scope of their mission. The Chinese government gave in to mounting global pressure and finally let the 14-person team go to Wuhan last month.

Updated

Apr. 9, 2021, 9:36 p.m. ET

The WHO used the research to project an image of transparency and independence. During their stay in Wuhan, the team of scientists used social media to record their visits to laboratories, disease control centers and live animal markets. WHO officials have vowed to ask tough questions and press for access to data and research, but it remains unclear how soon the Chinese government will be.

“If the team can’t come up with a substance, there’s a risk that people will say this is all just a show,” said Daniel R. Lucey, an infectious disease specialist at Georgetown University.

The investigation takes place in a charged political environment. Chinese Ambassador to the United States, Cui Tiankai, recently suggested that the United States allow WHO to send investigators there as part of its investigation.

Officials in the United States and other Western countries have at times expressed doubts about the independence of the WHO investigation, fearing that China may try to influence the results.

Now it will be up to the team of scientists to conduct a difficult study that many say could take months or even years.

While China ultimately cooperated with the visit, the government still has a firm grip on research related to the virus in China and could try to prevent any embarrassing information from being published.

“One visit is not enough for a thorough investigation,” said Yanzhong Huang, senior fellow on global health with the Council on Foreign Relations. “They do all the work within the parameters set by the Chinese government.”

The WHO team commended the Chinese scientists involved in the mission and said the government had worked in good faith to provide access to key locations such as the Huanan Seafood Wholesale Market, where some of the earliest cases were discovered . Scientists were also allowed to visit the Wuhan Institute of Virology, which is home to a state-of-the-art laboratory that has been at the center of several unfounded theories about the virus.

Albee Zhang contributed to the research.

Categories
World News

Elon Musk-backed OpenAI reveals off Dall-E picture generator after GPT-3

SpaceX founder Elon Musk attends a post-launch press conference after the SpaceX Falcon 9 rocket launched from the Kennedy Space Center in Cape Canaveral, Florida on an unscrewed test flight to the International Space Station on the Crew Dragon spacecraft on March 2, 2019 .

Mike Blake | Reuters

Armchairs in the shape of avocados and baby daikon radishes with tutus are among the quirky images created with new software from OpenAI, an Elon Musk-supported artificial intelligence laboratory in San Francisco.

OpenAI trained the software known as Dall-E to generate images from short text captions. Specifically, it used a data set of 12 billion images and their captions found on the Internet.

The lab said Dall-E – a portmanteau by Spanish surrealist artist Salvador Dali and Wall-E, a small animated robot from the Pixar movie of the same name – learned to create images for a variety of concepts.

OpenAI showed some of the results in a blog post published on Tuesday. “We found that [Dall-E] has a number of capabilities, including creating anthropomorphized versions of animals and objects, plausibly combining unrelated concepts, rendering text, and applying transformations to existing images, “the company wrote.

Dall-E is based on a neural network, a computer system vaguely inspired by the human brain that can recognize patterns and identify relationships between huge amounts of data.

While neural networks have previously generated images and videos, Dall-E is unusual in that it relies on text input while the others don’t.

Synthetic videos and images have become more complex in recent years as it has become difficult for humans to distinguish between the real and the computer generated. For example, General Adversarial Networks (GANs), which use two neural networks, have been used to create fake videos of politicians.

OpenAI acknowledged that Dall-E has “the potential for significant broad societal impacts” and plans to analyze how models such as Dall-E “relate to societal issues such as economic impact on certain work processes and occupations, and the potential for bias the model results and the longer term ethical challenges this technology poses. “

GPT-3 successor

Dall-E comes just a few months after OpenAI announced that they have built a text generator called GPT-3 (Generative Pre-Training), which is also supported by a neural network.

The speech generation tool is able to produce human-like text if necessary. It became relatively famous for an AI program when people realized it could write its own poems, news articles, and short stories.

“Dall-E is a Text2Image system that is based on GPT-3, but is trained on text and images,” said Mark Riedl, associate professor at Georgia Tech School of Interactive Computing, told CNBC.

“Text2image isn’t new, but the Dall-E demo is remarkable for producing illustrations that are much more coherent than other Text2Image systems I’ve seen over the years.”

OpenAI has competed with companies like DeepMind and the Facebook AI Research Group to develop general-purpose algorithms that can perform a wide range of tasks at the human level and beyond.

Researchers have developed AIs that can play complex games like chess and the Chinese board game Go, translate one human language into another, and detect tumors on a mammogram. However, getting an AI system to show real “creativity” is a major challenge in the industry.

Riedl said the Dall-E results showed it had learned to mix concepts coherently, adding that “the ability to mix concepts coherently is seen as a key form of creativity in humans”.

“From a creativity standpoint, this is a big step forward,” added Riedl. “While there isn’t much agreement on what it means for an AI system to ‘understand’ something, the ability to use concepts in new ways is an important part of creativity and intelligence.”

Neil Lawrence, former director of machine learning at Amazon Cambridge, told CNBC that Dall-E looks “very impressive.”

Lawrence, who is now a professor of machine learning at Cambridge University, described it as “an inspiring demonstration of the ability of these models to store and generalize information about our world in ways that people find very natural”.

He said, “I assume there will be all kinds of uses of this type of technology that I can’t even imagine. But it’s also interesting to be another pretty mind-blowing technology that solves the problems that we have have not resolved. ” I even know that we actually had it. “

“Doesn’t improve the state of the AI”

Not everyone is that impressed with Dall-E, however.

Gary Marcus, an entrepreneur who sold a machine learning start-up to Uber for an undisclosed sum in 2016, told CNBC that it was interesting but “didn’t advance the state of AI.”

He also pointed out that it is not from open sources and the company has not yet published any paper on the research.

Marcus previously questioned whether some of the research published in recent years by the competitor’s DeepMind lab should be classified as “breakthroughs”.

OpenAI was founded as a nonprofit with a $ 1 billion commitment by a group of founders including Elon Musk, CEO of Tesla. In February 2018, Musk left the OpenAI board, but continues to donate and advise the organization.

OpenAI turned for-profit in 2019, raising an additional $ 1 billion from Microsoft to fund its research. GPT-3 will be OpenAI’s first commercial product and Reddit signed up as one of the first customers.