Lifeboat Foundation

The U.S. will pay Pfizer and biotech firm BioNTech $1.95 billion to produce and deliver 100 million doses of their Covid-19 vaccine if it proves safe and effective, the companies announced Wednesday.

It was the largest such deal between the government and companies racing to develop a coronavirus vaccine.

Under the agreement, the U.S. can acquire 500 million additional doses, the Department of Health and Human Services said. Germany-based BioNTech and Pfizer are jointly developing four potential vaccines.

Warming temperatures mean that Australia will likely continue to suffer from massive bushfires. To reduce future damage, the government must act.

British Health Minister Matt Hancock said that the government would not recommend that office workers wear face masks while at work.

“We will not be recommending masks in the office,” Hancock told Sky News on Wednesday.

Nearly a dozen Indian states have imposed a partial lockdown in high-risk areas after spikes in coronavirus cases, with the country’s infections topping 900,000 just three days after crossing the 800,000 mark.

Scott Morrison will unveil $748m in new cyber security initiatives, with the planned reallocation of resources from within the defence portfolio rising to $1.35bn over a decade once the government unveils a new cyber security strategy in coming months.

Resources reallocated from defence portfolio are planned to rise to $1.35bn over a decade with 500 new jobs created.

Say something Eric Klien.

Given the increasing proliferation of AI, I recently carried out a systematic review of AI-driven regulatory gaps. My review sampled the academic literature on AI in the hard and social sciences and found fifty existing or future regulatory gaps caused by this technology’s applications and methods in the United States. Drawing on an adapted version of Lyria Bennett-Moses’s framework, I then characterized each regulatory gap according to one of four categories: novelty, obsolescence, targeting, and uncertainty.

Significantly, of the regulatory gaps identified, only 12 percent represent novel challenges that compel government action through the creation or adaptation of regulation. By contrast, another 20 percent of the gaps are cases in which AI has made or will make regulations obsolete. A quarter of the gaps are problems of targeting, in which regulations are either inappropriately applied to AI or miss cases in which they should be applied. The largest group of regulatory gaps are ones of uncertainty in which a new technology is difficult to classify, causing a lack of clarity about the application of existing regulations.

Continue reading “Can existing laws cope with the AI revolution?” »

China announced in 2017 its ambition to become the world leader in artificial intelligence (AI) by 2030. While the US still leads in absolute terms, China appears to be making more rapid progress than either the US or the EU, and central and local government spending on AI in China is estimated to be in the tens of billions of dollars.

The move has led — at least in the West — to warnings of a global AI arms race and concerns about the growing reach of China’s authoritarian surveillance state. But treating China as a “villain” in this way is both overly simplistic and potentially costly. While there are undoubtedly aspects of the Chinese government’s approach to AI that are highly concerning and rightly should be condemned, it’s important that this does not cloud all analysis of China’s AI innovation.

The world needs to engage seriously with China’s AI development and take a closer look at what’s really going on. The story is complex and it’s important to highlight where China is making promising advances in useful AI applications and to challenge common misconceptions, as well as to caution against problematic uses.

Gaithersburg, Md.-based Novavax said the funding will allow the company to participate in Operation Warp Speed, the government’s program that has a goal of supporting the development of hundreds of millions of vaccine doses by 2021. The funding granted to Novavax will support the late-stage clinical development of the vaccine candidate, including a pivotal Phase III study. Additionally, the funds will be used to establish large-scale manufacturing in order to deliver 100 million doses of NVX‑CoV2373 by the end of the year.

Stanley C. Erck, president and chief executive officer of Novavax, said the company was honored to partner with Operation Warp Speed, a program that is supporting multiple shots on goal against COVID-19 by backing multiple vaccine projects, including Moderna’s mRNA program and AstraZeneca’s vaccine candidate.

“The pandemic has caused an unprecedented public health crisis, making it more important than ever that industry, government and funding entities join forces to defeat the novel coronavirus together. We are grateful to the U.S. government for its confidence in our technology platform, and are working tirelessly to develop and produce a vaccine for this global health crisis,” Erck said in a statement.

(Reuters) — The U.S. government signed a $450 million contract with Regeneron Pharmaceuticals Inc (REGN.O) for its potential COVID-19 antibody cocktail, the drugmaker said on Tuesday.

The best way to prevent this is by focusing on the basics. America needs a major all-of-society push to increase the number of U.S. students being trained in both the fundamentals of math and in the more advanced, rigorous, and creative mathematics. Leadership in implementing this effort will have to come from the U.S. government and leading technology companies, and through the funding of ambitious programs. A few ideas come to mind: talent-spotting schemes, the establishment of math centers, and a modern successor to the post-Sputnik National Defense Education Act, which would provide math scholarships to promising students along with guaranteed employment in either public or private enterprises.

Forget about “AI” itself: it’s all about the math, and America is failing to train enough citizens in the right kinds of mathematics to remain dominant.

By Michael Auslin

Continue reading “Why China’s Race For AI Dominance Depends On Math” »