Mark Zachary Taylor, Georgia Institute of Technology

In evaluating the outgoing Biden administration, much news has focused on inflation, immigration or Hunter’s laptop. But as an expert on national competitiveness in science and technology, I have a somewhat different emphasis. My research shows that U.S. prosperity and security depend heavily on the country’s ability to produce cutting-edge science and tech.

So, how did the Biden administration perform along these lines?

Advancing pandemic science and tech

President Joe Biden’s immediate challenge after inauguration was to end the COVID-19 pandemic and then shift the economy back to normal operations.

First, he threw the weight of his administration behind vaccine production and distribution. Thanks to President Donald Trump’s Operation Warp Speed, inoculations had begun mid-December 2020. But there had been no national rollout, and no plans existed for one. When Biden took office, only about 5% of Americans had been vaccinated.

The Biden administration collaborated with private retail chains to build up cold storage and distribution capacity. To ensure adequate vaccine supply, Biden worked to support the major pharmaceutical manufacturers. And throughout, Biden conducted a public relations campaign to inform, educate and motivate Americans to get vaccinated.

Within the first 10 weeks of Biden’s presidency, one-third of the U.S. population had received at least one dose, half by the end of May, and over 70% by year’s end. And as Americans got vaccinated, travel bans were lifted, schools came back into session, and business gradually returned to normal.

A later study found that Biden’s vaccination program prevented more than 3.2 million American deaths and 18.5 million hospitalizations, and saved US$1.15 trillion in medical costs and lost economic output.

In the wake of the economic distress caused by the COVID-19 pandemic, Biden signed two bills with direct and widespread impacts on science and technology. Previous administrations had promised infrastructure investments, but Biden delivered. The Infrastructure Investment and Jobs Act, passed with bipartisan support during late 2021, provided $1.2 trillion for infrastructure of all types.

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Rather than just rebuilding, the act prioritized technological upgrades: clean water, clean energy, rural high-speed internet, modernization of public transit and airports, and electric grid reliability.

In August 2022, Biden signed the Inflation Reduction Act, totaling $739 billion in tax credits and direct expenditures. This was the largest climate change legislation in U.S. history. It implemented a vast panoply of subsidies and incentives to develop and distribute the science and tech necessary for clean and renewable energy, environmental conservation and to address climate change.

Science and tech marquees and sleepers

Some Biden administration science and technology achievements have been fairly obvious. For example, Biden successfully pushed for increased federal research and development funding. Federal R&D dollars jumped by 25% from 2021 to 2024. Recipients included the National Science Foundation, Department of Energy, NASA and the Department of Defense. In addition, Biden oversaw investment in emerging technologies, such as AI, and their responsible governance.

Biden also retained or raised Trump’s tariffs and continued his predecessor’s skepticism of new free-trade agreements, thereby cementing a protectionist turn in American trade policy. Biden’s addition was to add protectionist industrial policy – subsidies for domestic manufacturing and innovation, as well as “buy-American” mandates.

Other accomplishments have been more under the radar. For example, within the National Science Foundation, Biden created a Directorate for Technology, Innovation and Partnerships to improve U.S. economic competitiveness. Its tasks are to speed the development of breakthrough technologies, to accelerate their transition into the marketplace, and to reskill and upskill American workers into high-quality jobs with better wages.

Biden implemented policies aimed at strengthening and improving federal scientific integrity to help citizens feel they can trust federally funded science and its use. He also advanced new measures to improve research security, aimed at keeping federally funded research from being improperly obtained by foreign entities.

The CHIPS & Science Act

The jewel in the crown of Biden’s science and tech agenda was the bipartisan Creating Helpful Incentives to Produce Semiconductors (CHIPS) and Science Act, meant to strengthen U.S. manufacturing capabilities in advanced semiconductor chips. It has awarded about $40 billion to American chip producers, prompting an additional $450 billion in private investment in over 90 new manufacturing projects across 28 states.

Directed at everything from advanced packaging to memory chips, the CHIPS Act’s subsidies have reduced the private costs of domestic semiconductor production. CHIPS also pushes for these new manufacturing jobs to go to American workers at good pay. Whereas the U.S. manufactured few of the most advanced chips just two years ago, the industry expects the United States to possess 28% of global capacity by 2032.

Less well known are the “science” parts of the CHIPS Act. For example, it invested half a billion dollars in dozens of regional innovation and technology hubs across the country. These hubs focus on a broad range of strategic sectors, including critical materials, sustainable polymers, precision medicine and medical devices. Over 30 tech hubs have already been designated, such as the Elevate Quantum Tech Hub in Denver and the Wisconsin Biohealth Tech Hub.

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The CHIPS Act also aims to broaden participation in science. It does so by improving the tracking and funding of research and STEM education to hitherto underrepresented Americans – by district, occupation, ethnicity, gender, institution and socioeconomic background. It also attempts to extend the impact of federally funded research to tackle global challenges, such as supply chain disruptions, resource waste and energy security.

Missed opportunities and future possibilities

Despite these achievements, the Biden administration has faced criticism on the science and tech front. Some critics allege that U.S. research security is still not properly defending American science and technology against theft or counterfeit by rivals.

Others insist that federal R&D spending remains too low. In particular, they call for more investment in U.S. research infrastructure – such as up-to-date laboratories and data systems – and emerging technologies.

The administration’s government-centered approach to AI has also drawn criticism as stifling and wrong-headed.

Personally, I am agnostic on these issues, but they are legitimate concerns. In my opinion, science and technology investments take considerable time to pan out, so early judgments of Biden’s success or failure are probably premature.

Nevertheless, the next administration has its work cut out for it. International cooperation will likely be key. The most vexing global problems require science and technology advances that are beyond the ability of any single country. The challenge is for the United States to collaborate in ways that complement American competitiveness.

National priorities will likely include the development of productive and ethical AI that helps the U.S. to be more competitive, as well as a new quantum computing industry. Neuroscience and “healthspan” research also hold considerable promise for improving U.S. competitiveness while transforming Americans’ life satisfaction.

Keeping the whole American science and technology enterprise rigorous will require two elements from the federal government: more resources and a competitive environment. American greatness will depend on President-elect Trump’s ability to deliver them.

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Mark Zachary Taylor, Associate Professor of Public Policy, Georgia Institute of Technology

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Renee DiResta, Stanford University; Abhiram Reddy, Georgetown University, and Josh A. Goldstein, Georgetown University

Suppose you’ve spent time on Facebook over the past six months. In that case, you may have noticed photorealistic images that are too good to be true: children holding paintings that look like the work of professional artists, or majestic log cabin interiors that are the stuff of Airbnb dreams.

Others, such as renderings of Jesus made out of crustaceans, are just bizarre.

Like the AI image of the pope in a puffer jacket that went viral in May 2023, these AI-generated images are increasingly prevalent – and popular – on social media platforms. Even as many of them border on the surreal, they’re often used to bait engagement from ordinary users.

Our team of researchers from the Stanford Internet Observatory and Georgetown University’s Center for Security and Emerging Technology investigated over 100 Facebook pages that posted high volumes of AI-generated content. We published the results in March 2024 as a preprint paper, meaning the findings have not yet gone through peer review.

We explored patterns of images, unearthed evidence of coordination between some of the pages, and tried to discern the likely goals of the posters.

Page operators seemed to be posting pictures of AI-generated babies, kitchens or birthday cakes for a range of reasons.

There were content creators innocuously looking to grow their followings with synthetic content; scammers using pages stolen from small businesses to advertise products that don’t seem to exist; and spammers sharing AI-generated images of animals while referring users to websites filled with advertisements, which allow the owners to collect ad revenue without creating high-quality content.

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Our findings suggest that these AI-generated images draw in users – and Facebook’s recommendation algorithm may be organically promoting these posts.

Generative AI meets scams and spam

Internet spammers and scammers are nothing new.

For more than two decades, they’ve used unsolicited bulk email to promote pyramid schemes. They’ve targeted senior citizens while posing as Medicare representatives or computer technicians.

On social media, profiteers have used clickbait articles to drive users to ad-laden websites. Recall the 2016 U.S. presidential election, when Macedonian teenagers shared sensational political memes on Facebook and collected advertising revenue after users visited the URLs they posted. The teens didn’t care who won the election. They just wanted to make a buck.

In the early 2010s, spammers captured people’s attention with ads promising that anyone could lose belly fat or learn a new language with “one weird trick.”

AI-generated content has become another “weird trick.”

It’s visually appealing and cheap to produce, allowing scammers and spammers to generate high volumes of engaging posts. Some of the pages we observed uploaded dozens of unique images per day. In doing so, they followed Meta’s own advice for page creators. Frequent posting, the company suggests, helps creators get the kind of algorithmic pickup that leads their content to appear in the “Feed,” formerly known as the “News Feed.”

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Much of the content is still, in a sense, clickbait: Shrimp Jesus makes people pause to gawk and inspires shares purely because it is so bizarre.

Many users react by liking the post or leaving a comment. This signals to the algorithmic curators that perhaps the content should be pushed into the feeds of even more people.

Some of the more established spammers we observed, likely recognizing this, improved their engagement by pivoting from posting URLs to posting AI-generated images. They would then comment on the post of the AI-generated images with the URLs of the ad-laden content farms they wanted users to click.

But more ordinary creators capitalized on the engagement of AI-generated images, too, without obviously violating platform policies.

Rate ‘my’ work!

When we looked up the posts’ captions on CrowdTangle – a social media monitoring platform owned by Meta and set to sunset in August – we found that they were “copypasta” captions, which means that they were repeated across posts.

Some of the copypasta captions baited interaction by directly asking users to, for instance, rate a “painting” by a first-time artist – even when the image was generated by AI – or to wish an elderly person a happy birthday. Facebook users often replied to AI-generated images with comments of encouragement and congratulations

Algorithms push AI-generated content

Our investigation noticeably altered our own Facebook feeds: Within days of visiting the pages – and without commenting on, liking or following any of the material – Facebook’s algorithm recommended reams of other AI-generated content.

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Interestingly, the fact that we had viewed clusters of, for example, AI-generated miniature cow pages didn’t lead to a short-term increase in recommendations for pages focused on actual miniature cows, normal-sized cows or other farm animals. Rather, the algorithm recommended pages on a range of topics and themes, but with one thing in common: They contained AI-generated images.

In 2022, the technology website Verge detailed an internal Facebook memo about proposed changes to the company’s algorithm.

The algorithm, according to the memo, would become a “discovery-engine,” allowing users to come into contact with posts from individuals and pages they didn’t explicitly seek out, akin to TikTok’s “For You” page.

We analyzed Facebook’s own “Widely Viewed Content Reports,” which lists the most popular content, domains, links, pages and posts on the platform per quarter.

It showed that the proportion of content that users saw from pages and people they don’t follow steadily increased between 2021 and 2023. Changes to the algorithm have allowed more room for AI-generated content to be organically recommended without prior engagement – perhaps explaining our experiences and those of other users.

‘This post was brought to you by AI’

Since Meta currently does not flag AI-generated content by default, we sometimes observed users warning others about scams or spam AI content with infographics.

Meta, however, seems to be aware of potential issues if AI-generated content blends into the information environment without notice. The company has released several announcements about how it plans to deal with AI-generated content.

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In May 2024, Facebook will begin applying a “Made with AI” label to content it can reliably detect as synthetic.

But the devil is in the details. How accurate will the detection models be? What AI-generated content will slip through? What content will be inappropriately flagged? And what will the public make of such labels?

While our work focused on Facebook spam and scams, there are broader implications.

Reporters have written about AI-generated videos targeting kids on YouTube and influencers on TikTok who use generative AI to turn a profit.

Social media platforms will have to reckon with how to treat AI-generated content; it’s certainly possible that user engagement will wane if online worlds become filled with artificially generated posts, images and videos.

Shrimp Jesus may be an obvious fake. But the challenge of assessing what’s real is only heating up.

Renee DiResta, Research Manager of the Stanford Internet Observatory, Stanford University; Abhiram Reddy, Research Assistant at the Center for Security and Emerging Technology, Georgetown University, and Josh A. Goldstein, Research Fellow at the Center for Security and Emerging Technology, Georgetown University

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This article is republished from The Conversation under a Creative Commons license. Read the original article.

The science section of our news blog STM Daily News provides readers with captivating and up-to-date information on the latest scientific discoveries, breakthroughs, and innovations across various fields. We offer engaging and accessible content, ensuring that readers with different levels of scientific knowledge can stay informed. Whether it’s exploring advancements in medicine, astronomy, technology, or environmental sciences, our science section strives to shed light on the intriguing world of scientific exploration and its profound impact on our daily lives. From thought-provoking articles to informative interviews with experts in the field, STM Daily News Science offers a harmonious blend of factual reporting, analysis, and exploration, making it a go-to source for science enthusiasts and curious minds alike. https://stmdailynews.com/category/science/

Google Cloud AI to enhance Honeywell’s product offerings 
and help upskill the industrial workforce

New solutions will connect to enterprise-wide industrial data from Honeywell Forge, 
a leading IoT platform for industrials

CHARLOTTE, N.C. and SUNNYVALE, Calif. /PRNewswire/ — Honeywell (NASDAQ: HON) and Google Cloud announced a unique collaboration connecting artificial intelligence (AI) agents with assets, people and processes to accelerate safer, autonomous operations for the industrial sector.

This partnership will bring together the multimodality and natural language capabilities of Gemini on Vertex AI – Google Cloud’s AI platform – and the massive data set on Honeywell Forge, a leading Internet of Things (IoT) platform for industrials. This will unleash easy-to-understand, enterprise-wide insights across a multitude of use cases. Honeywell’s customers across the industrial sector will benefit from opportunities to reduce maintenance costs, increase operational productivity and upskill employees. The first solutions built with Google Cloud AI will be available to Honeywell’s customers in 2025.

“The path to autonomy requires assets working harder, people working smarter and processes working more efficiently,” said Vimal Kapur, Chairman and CEO of Honeywell. “By combining Google Cloud’s AI technology with our deep domain expertise–including valuable data on our Honeywell Forge platform–customers will receive unparalleled, actionable insights bridging the physical and digital worlds to accelerate autonomous operations, a key driver of Honeywell’s growth.”

“Our partnership with Honeywell represents a significant step forward in bringing the transformative power of AI to industrial operations,” said Thomas Kurian, CEO of Google Cloud. “With Gemini on Vertex AI, combined with Honeywell’s industrial data and expertise, we’re creating new opportunities to optimize processes, empower workforces and drive meaningful business outcomes for industrial organizations worldwide.”

With the mass retirement of workers from the baby boomer generation, the industrial sector faces both labor and skills shortages, and AI can be part of the solution – as a revenue generator, not job eliminator. More than two-thirds (82%) of Industrial AI leaders believe their companies are early adopters of AI, but only 17% have fully launched their initial AI plans, according to Honeywell’s 2024 Industrial AI Insights report. This partnership will provide AI agents that augment the existing operations and workforce to help drive AI adoption and enable companies across the sector to benefit from expanding automation.

Honeywell and Google Cloud will co-innovate solutions around:

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Purpose-Built, Industrial AI Agents 
Built on Google Cloud’s Vertex AI Search and tailored to engineers’ specific needs, a new AI-powered agent will help automate tasks and reduce project design cycles, enabling users to focus on driving innovation and delivering exceptional customer experiences.

Additional agents will utilize Google’s large language models (LLMs) to help technicians to more quickly resolve maintenance issues (e.g., “How did a unit perform last night?” “How do I replace the input/output module?” or “Why is my system making this sound?”). By leveraging Gemini’s multimodality capabilities, users will be able to process various data types such as images, videos, text and sensor readings, which will help its engineers get the answers they need quickly – going beyond simple chat and predictions.

Enhanced Cybersecurity
Google Threat Intelligence – featuring frontline insight from Mandiant – will be integrated into current Honeywell cybersecurity products, including Global Analysis, Research and Defense (GARD) Threat Intelligence and Secure Media Exchange (SMX), to help enhance threat detection and protect global infrastructure for industrial customers. 

On-the-Edge Device Advances 
Looking ahead, Honeywell will explore using Google’s Gemini Nano model to enhance Honeywell edge AI devices’ intelligence multiple use cases across verticals, ranging from scanning performance to voice-based guided workflow, maintenance, operational and alarm assist without the need to connect to the internet and cloud. This is the beginning of a new wave of more intelligent devices and solutions, which will be the subject of future Honeywell announcements.

By leveraging AI to enable growth and productivity, the integration of Google Cloud technology also further supports Honeywell’s alignment of its portfolio to three compelling megatrends, including automation.

About Honeywell

Honeywell is an integrated operating company serving a broad range of industries and geographies around the world. Our business is aligned with three powerful megatrends – automation, the future of aviation and energy transition – underpinned by our Honeywell Accelerator operating system and Honeywell Forge IoT platform. As a trusted partner, we help organizations solve the world’s toughest, most complex challenges, providing actionable solutions and innovations through our Aerospace Technologies, Industrial Automation, Building Automation and Energy and Sustainability Solutions business segments that help make the world smarter and safer as well as more secure and sustainable. For more news and information on Honeywell, please visit www.honeywell.com/newsroom.

About Google Cloud

Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated, and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models, and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner.

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SOURCE Honeywell

The science section of our news blog STM Daily News provides readers with captivating and up-to-date information on the latest scientific discoveries, breakthroughs, and innovations across various fields. We offer engaging and accessible content, ensuring that readers with different levels of scientific knowledge can stay informed. Whether it’s exploring advancements in medicine, astronomy, technology, or environmental sciences, our science section strives to shed light on the intriguing world of scientific exploration and its profound impact on our daily lives. From thought-provoking articles to informative interviews with experts in the field, STM Daily News Science offers a harmonious blend of factual reporting, analysis, and exploration, making it a go-to source for science enthusiasts and curious minds alike. https://stmdailynews.com/category/science/