Patent Power Scorecards: Japan Ascendant

Japanese companies rise to the top of IEEE Spectrum's Patent Power rankings thanks to shrinking U.S. innovation pipelines

4 min read
Patent Power Scorecards: Japan Ascendant

patent scorecard 2010

The surprise story of this edition of the IEEE Spectrum Patent Power Scorecards is the reemergence of Japan as a global leader in innovation. Based on data from 2009, out of the 323 leading organizations in the scorecards, 65 (20 percent) are Japanese. This percentage is markedly higher than in the 2007 scorecards, in which 45 out of 319 companies (14 percent) were Japanese.

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Posits, a New Kind of Number, Improves the Math of AI

The first posit-based processor core gave a ten-thousandfold accuracy boost

4 min read
Squares with 0s and 1s form a colorful brain shape and blue background.
Hiroshi Watanabe/Getty Images

Training the large neural networks behind many modern AI tools requires real computational might: For example, OpenAI’s most advanced language model, GPT-3, required an astounding million billion billions of operations to train, and cost about US $5 million in compute time. Engineers think they have figured out a way to ease the burden by using a different way of representing numbers.

Back in 2017, John Gustafson, then jointly appointed at A*STAR Computational Resources Centre and the National University of Singapore, and Isaac Yonemoto, then at Interplanetary Robot and Electric Brain Co., developed a new way of representing numbers. These numbers, called posits, were proposed as an improvement over the standard floating-point arithmetic processors used today.

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AI Matches Doctors in Screening  for Tuberculosis

TB is the second-leading cause of death by an infectious disease, behind only COVID-19

4 min read
image of chest x-ray
Getty Images

A killer could be stopped cold—or at least be limited in its deadly toll—thanks to AI.

Apart from COVID-19, tuberculosis (TB) is the leading cause of death by an infectious disease worldwide, despite being largely preventable and treatable. While the World Health Organization (WHO) recommends using chest X-rays to help identify likely cases of TB, many health-care centers lack adequate radiologists to interpret these X-rays. In a study published on 6 September in the journal Radiology, researchers at Google along with colleagues from India, South Africa, and Zambia showed that their deep-learning algorithm could identify cases of TB from chest X-rays as well as radiologists could.

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Get the Coursera Campus Skills Report 2022

Download the report to learn which job skills students need to build high-growth careers

1 min read

Get comprehensive insights into higher education skill trends based on data from 3.8M registered learners on Coursera, and learn clear steps you can take to ensure your institution's engineering curriculum is aligned with the needs of the current and future job market. Download the report now!