The state of Federal Funding towards AI Research

Funding

AI research has also accelerated in the last 5 years with more research papers published in 2020… Funding of AI research has also accelerated with Congress approving AI related initiatives such as boosting funding in institutions of higher learning. The Biden administration² is currently working on an AI policy that will see the United States continue investing more in AI research, military applications and national security. The current AI funding¹ by the federal government is a good start but more needs to be done.

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U.S.-India Artificial Intelligence Cooperation

US India Summit

The Biden administration plans to prioritize federal funding for U.S. research and development on artificial intelligence (AI) and other advanced technologies. If products created from these technologies are to enter the global marketplace, administration officials will need to work with like-minded countries to create new AI standards and principles consistent with democratic values and fair markets. India is well-placed to be an essential part of these efforts…

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Researchers find systems to counter deepfakes can be deceived

Barak Obama

Researchers have found that systems designed to counter the increasing prevalence of deepfakes can be deceived. The researchers, from the University of California – San Diego, first presented their findings at the WACV 2021 conference. Shehzeen Hussain, a UC San Diego computer engineering PhD student and co-author on the paper, said: “Our work shows that…

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Microsoft details Speller100, an AI system that checks spelling in over 100 languages

Bing

In a post on its AI research blog, Microsoft today detailed a new language system, Speller100, that the company claims is one of the most comprehensive ever made in terms of language coverage and accuracy. Comprising a number of AI models that can understand speech in over 100 languages collectively, Speller100 now powers all spelling correction on Bing.

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The AI industry is built on geographic and social inequality, research shows

The arm of global inequality is long, rendering itself visible particularly in the development of AI and machine learning systems. In a recent paper, researchers at Cornell, the Universite de Montreal, the National Institute of Statistical Sciences (U.S.), and Princeton argue that this inequality in the AI industry involves a concentration of profits and raises the danger of ignoring the contexts to which AI is applied.

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AAAI 2021 best Papers announced

Best Papers

The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) kicked off today as a virtual conference. The organizing committee announced the Best Paper Awards and Runners Up during this morning’s opening ceremony. Three papers received Best Paper Awards and three were recognized as Runners Up. The total of 9,034 submissions to AAAI 2021 marked another record high, surpassing last year’s 8800. Submissions from China (3,319) almost doubled the number of papers from the United States (1,822). Out of 7,911 papers that went to review, a total of 1,692 papers made it. This year’s acceptance rate was 21 percent, slightly higher than last year’s 20.6 percent.

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Researchers create new model to evaluate AI-generated navigation instructions

A burgeoning subfield of AI focuses on leveraging models to improve the performance of robots that follow instructions given by people. These models generate directions (e.g., “Walk up the stairs and enter the first room on the left”) that ostensibly improve robots’ navigation performance in simulated and real-world environments. But a study coauthored by Google researchers finds that the models perform only slightly better than template-based techniques that don’t rely on AI.

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Microsoft researchers tap AI for anonymous data sharing for health care providers

The use of images to build diagnostic models of diseases has become an active research topic in the AI community. But capturing the patterns in a condition and an image requires exposing a model to a rich variety of medical cases. It’s well-known that images from a source can be biased by demographics, equipment, and means of acquisition, which means training a model on such images would cause it to perform poorly for other populations.

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New self-supervised AI models scan X-rays to predict prognosis of COVID-19 patients

x-ray image

Researchers from Facebook and NYU Langone Health have created AI models that scan X-rays to predict how a COVID-19 patient’s condition will develop. The team says that their system can forecast whether a patient may need more intensive care resources up to four days in advance. They believe hospitals could use it to anticipate demand for resources and avoid sending at-risk patients home too early.

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Top 10 Computer Vision papers 2020

Even with everything that happened in the world this year, we still had the chance to see a lot of amazing research come out. Especially in the field of artificial intelligence and more precisely computer vision. Artificial intelligence and our understanding of the human brain and its link to AI is constantly evolving, showing promising applications in the soon future, which I will definitely cover. Here are my top 10 of the most interesting research papers of the year in computer vision, in case you missed any of them.

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Uber researchers propose AI language model that emphasizes positive and polite responses

AI-powered assistants like Siri, Cortana, Alexa, and Google Assistant are pervasive. But for these assistants to engage users and help them to achieve their goals, they need to exhibit appropriate social behavior and provide informative replies. Studies show that users respond better to social language in the sense that they’re more responsive and likelier to complete tasks. Inspired by this, researchers…

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10 AI-powered art projects

AI has become increasingly capable of generating impressive artworks across a wide range of styles and forms, from abstract painting to prose writing, film scores, and even operas. Many researchers spent much of 2020 at home, where, apparently, many explored AI’s creative potential. As part of our year-end series, Synced highlights 10 AI-powered art projects that inspired and entertained us in 2020.

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Artificial Intelligence can allocate the Supernova explosion with prodigious accuracy!

Artificial intelligence is classifying real supernova explosions without the traditional use of spectra. By training a machine learning model to categorize supernovae based on visible characteristics, the astronomers are able to classify real data from the Pan-STARRS1 (Panoramic Survey Telescope and Rapid Response System) Medium Deep Survey for 2,315 supernovae with an accuracy rate of 82% without the use of spectra.

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Facebook’s news summarization tool reeks of bad intentions

This week, BuzzFeed News, citing sources familiar with the matter, wrote that Facebook is developing an AI tool that summarizes news articles so that users don’t have to read them. The tool — codenamed “TLDR” in reference to the acronym “too long, didn’t read” — reportedly reduces articles to bullet points and provides narration, as well as a virtual assistant to answer questions.

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