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Joe Biden’s record on science and tech: Investments and regulation for vaccines, broadband, microchips and AI

The Biden administration’s focus on science and technology has led to substantial investments in semiconductor manufacturing and clean energy, aiming to enhance U.S. competitiveness and innovation while addressing public health challenges.

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Last Updated on January 18, 2025 by Daily News Staff

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Massive support for U.S. computer chip manufacturing will be part of Joe Biden’s tech legacy. AP Photo/Jacquelyn Martin

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.

Seated and masked Biden gets a shot in his arm from a masked medical worker
Biden set an example by getting his own COVID-19 vaccinations. Joshua Roberts via Getty Images

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.

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.

installer on a residential roof carrying a solar panel
Clean energy technologies, including solar panels, got a boost from the Inflation Reduction Act. David Becker/The Washington Post via Getty Images

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.

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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 talks into mic in a factory with big American flag in background
Biden encouraged companies to manufacture new inventions in the United States. AP Photo/Susan Walsh

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.

Biden stands at table that holds examples of technology, flanked by two other men
Biden tours a semiconductor manufacturer in North Carolina in 2023. AP Photo/Carolyn Kaster

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.

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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.

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.


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When ‘Head in the Clouds’ Means Staying Ahead

Head in the Clouds: Cloud is no longer just storage—it’s the intelligent core of modern business. Explore how “cognitive cloud” blends AI and cloud infrastructure to enable real-time, self-optimizing operations, improve customer experiences, and accelerate enterprise modernization.

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Last Updated on February 7, 2026 by Daily News Staff

Head in the Clouds: Cloud is no longer just storage—it’s the intelligent core of modern business. Explore how “cognitive cloud” blends AI and cloud infrastructure to enable real-time, self-optimizing operations, improve customer experiences, and accelerate enterprise modernization.

When ‘Head in the Clouds’ Means Staying Ahead

(Family Features) You approve a mortgage in minutes, your medical claim is processed without a phone call and an order that left the warehouse this morning lands at your door by dinner. These moments define the rhythm of an economy powered by intelligent cloud infrastructure. Once seen as remote storage, the cloud has become the operational core where data, AI models and autonomous systems converge to make business faster, safer and more human. In this new reality, the smartest companies aren’t looking up to the cloud; they’re operating within it. Public cloud spending is projected to reach $723 billion in 2025, according to Gartner research,  reflecting a 21% increase year over year. At the same time, 90% of organizations are expected to adopt hybrid cloud by 2027. As cloud becomes the universal infrastructure for enterprise operations, the systems being built today aren’t just hosted in the cloud, they’re learning from it and adapting to it. Any cloud strategy that doesn’t account for AI workloads as native risks falling behind, holding the business back from delivering the experiences consumers rely on every day. After more than a decade of experimentation, most enterprises are still only partway up the curve. Based on Cognizant’s experience, roughly 1 in 5 enterprise workloads has moved to the cloud, while many of the most critical, including core banking, health care claims and enterprise resource planning, remain tied to legacy systems. These older environments were never designed for the scale or intelligence the modern economy demands. The next wave of progress – AI-driven products, predictive operations and autonomous decision-making – depends on cloud architectures designed to support intelligence natively. This means cloud and AI will advance together or not at all.

The Cognitive Cloud: Cloud and AI as One System

For years, many organizations treated migration as a finish line. Applications were lifted and shifted into the cloud with little redesign, trading one set of constraints for another. The result, in many cases, has been higher costs, fragmented data and limited room for innovation. “Cognitive cloud” represents a new phase of evolution. Imagine every process, from customer service to supply-chain management, powered by AI models that learn, reason and act within secure cloud environments. These systems store and interpret data, detect patterns, anticipate demand and automate decisions at a scale humans simply cannot match. In this architecture, AI and cloud operate in concert. The cloud provides computing power, scale and governance while AI adds autonomy, context and insight. Together, they form an integrated platform where cloud foundations and AI intelligence combine to enable collaboration between people and systems. This marks the rise of the responsive enterprise; one that senses change, adjusts instantly and builds trust through reliability. Cognitive cloud platforms combine data fabric, observability, FinOps and SecOps into an intelligent core that regulates itself in real time. The result is invisible to consumers but felt in every interaction: fewer errors, faster responses and consistent experiences.

Consumer Impact is Growing

The impact of cognitive cloud is already visible. In health care, 65% of U.S. insurance claims run through modernized, cloud-enabled platforms designed to reduce errors and speed up reimbursement. In the life sciences industry, a pharmaceuticals and diagnostics firm used cloud-native automation to increase clinical trial investigations by 20%, helping get treatments to patients sooner. In food service, intelligent cloud systems have reduced peak staffing needs by 35%, in part through real-time demand forecasting and automated kitchen operation. In insurance, modernization has produced multi-million-dollar savings and faster policy issuance, improving both customer experience and financial performance. Beneath these outcomes is the same principle: architecture that learns and responds in real time. AI-driven cloud systems process vast volumes of data, identify patterns as they emerge and automate routines so people can focus on innovation, care and service. For businesses, this means fewer bottlenecks and more predictive operations. For consumers, it means smarter, faster, more reliable services, quietly shaping everyday life. While cloud engineering and AI disciplines remain distinct, their outcomes are increasingly intertwined. The most advanced architectures now treat intelligence and infrastructure as complementary forces, each amplifying the other.

Looking Ahead

This transformation is already underway. Self-correcting systems predict disruptions before they happen, AI models adapt to market shifts in real time and operations learn from every transaction. The organizations mastering this convergence are quietly redefining themselves and the competitive landscape. Cloud and AI have become interdependent priorities within a shared ecosystem that moves data, decisions and experiences at the speed customers expect. Companies that modernize around this reality and treat intelligence as infrastructure will likely be empowered to reinvent continuously. Those that don’t may spend more time maintaining the systems of yesterday than building the businesses of tomorrow. Learn more at cognizant.com.   Photo courtesy of Shutterstock collect?v=1&tid=UA 482330 7&cid=1955551e 1975 5e52 0cdb 8516071094cd&sc=start&t=pageview&dl=http%3A%2F%2Ftrack.familyfeatures SOURCE: Cognizant
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Beneath the Waves: The Global Push to Build Undersea Railways

Undersea railways are transforming transportation, turning oceans from barriers into gateways. Proven by tunnels like the Channel and Seikan, these innovations offer cleaner, reliable connections for passengers and freight. Ongoing projects in China and Europe, alongside future proposals, signal a new era of global mobility beneath the waves.

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Train traveling through underwater tunnel
Trains beneath the ocean are no longer science fiction—they’re already in operation.

For most of modern history, oceans have acted as natural barriers—dividing nations, slowing trade, and shaping how cities grow. But beneath the waves, a quiet transportation revolution is underway. Infrastructure once limited by geography is now being reimagined through undersea railways.

Undersea rail tunnels—like the Channel Tunnel and Japan’s Seikan Tunnel—proved decades ago that trains could reliably travel beneath the ocean floor. Today, new projects are expanding that vision even further.

Around the world, engineers and governments are investing in undersea railways—tunnels that allow high-speed trains to travel beneath oceans and seas. Once considered science fiction, these projects are now operational, under construction, or actively being planned.

image 3

Undersea Rail Is Already a Reality

Japan’s Seikan Tunnel and the Channel Tunnel between the United Kingdom and France proved decades ago that undersea railways are not only possible, but reliable. These tunnels carry passengers and freight beneath the sea every day, reshaping regional connectivity.

Undersea railways are cleaner than short-haul flights, more resilient than bridges, and capable of lasting more than a century. As climate pressures and congestion increase, rail beneath the sea is emerging as a practical solution for future mobility.

What’s Being Built Right Now

China is currently constructing the Jintang Undersea Railway Tunnel as part of the Ningbo–Zhoushan high-speed rail line, while Europe’s Fehmarnbelt Fixed Link will soon connect Denmark and Germany beneath the Baltic Sea. These projects highlight how transportation and technology are converging to solve modern mobility challenges.

The Mega-Projects Still on the Drawing Board

Looking ahead, proposals such as the Helsinki–Tallinn Tunnel and the long-studied Strait of Gibraltar rail tunnel could reshape global affairs by linking regions—and even continents—once separated by water.

Why Undersea Rail Matters

The future of transportation may not rise above the ocean—but run quietly beneath it.

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CES 2026

Inside the Computing Power Behind Spatial Filmmaking: Hugh Hou Goes Hands-On at GIGABYTE Suite During CES 2026

Inside the Computing Power Behind Spatial Filmmaking: Hugh Hou Goes Hands-On at GIGABYTE Suite During CES 2026

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Spatial filmmaking is having a moment—but at CES 2026, the more interesting story wasn’t a glossy trailer or a perfectly controlled demo. It was the workflow.

According to a recent GIGABYTE press release, VR filmmaker and educator Hugh Hou ran a live spatial computing demonstration inside the GIGABYTE suite, walking attendees through how immersive video is actually produced in real-world conditions—capture to post to playback—without leaning on pre-rendered “best case scenario” content. In other words: not theory, not a lab. A production pipeline, running live, on a show floor.

Inside the Computing Power Behind Spatial Filmmaking: Hugh Hou Goes Hands-On at GIGABYTE Suite During CES 2026
Inside the Computing Power Behind Spatial Filmmaking: Hugh Hou Goes Hands-On at GIGABYTE Suite During CES 2026

A full spatial pipeline—executed live

The demo gave attendees a front-row view of a complete spatial filmmaking pipeline:

  • Capture
  • Post-production
  • Final playback across multiple devices

And the key detail here is that the workflow was executed live at CES—mirroring the same processes used in commercial XR projects. That matters because spatial video isn’t forgiving. Once you’re working in 360-degree environments (and pushing into 8K), you’re no longer just chasing “fast.” You’re chasing:

  • System stability
  • Performance consistency
  • Thermal reliability

Those are the unsexy requirements that make or break actual production days.

Playback across Meta Quest, Apple Vision Pro, and Galaxy XR

The session culminated with attendees watching a two-minute spatial film trailer across:

  • Meta Quest
  • Apple Vision Pro
  • Newly launched Galaxy XR headsets
  • Plus a 3D tablet display offering an additional 180-degree viewing option

That multi-device playback is a quiet flex. Spatial content doesn’t live in one ecosystem anymore—creators are being pulled toward cross-platform deliverables, which adds even more pressure on the pipeline to stay clean and consistent.

Where AI fits (when it’s not the headline)

One of the better notes in the release: AI wasn’t positioned as a shiny feature. It was framed as what it’s becoming for a lot of editors—an embedded toolset that speeds up the grind without hijacking the creative process.

In the demo, AI-assisted processes supported tasks like:

  • Enhancement
  • Tracking
  • Preview workflows

The footage moved through industry-standard software—Adobe Premiere Pro and DaVinci Resolve—with AI-based:

  • Upscaling
  • Noise reduction
  • Detail refinement

And in immersive VR, those steps aren’t optional polish. Any artifact, softness, or weird noise pattern becomes painfully obvious when the viewer can look anywhere.

Why the hardware platform matters for spatial workloads

Underneath the demo was a custom-built GIGABYTE AI PC designed for sustained spatial video workloads. Per the release, the system included:

  • AMD Ryzen 7 9800X3D processor
  • Radeon AI PRO R9700 AI TOP GPU
  • X870E AORUS MASTER X3D ICE motherboard

The point GIGABYTE is making is less “look at these parts” and more: spatial computing workloads demand a platform that can run hard continuously—real-time 8K playback and rendering—without throttling, crashing, or drifting into inconsistent performance.

That’s the difference between “cool demo” and “reliable production machine.”

The bigger takeaway: spatial filmmaking is moving from experiment to repeatable process

By running a demanding spatial filmmaking workflow live—and repeatedly—at CES 2026, GIGABYTE is positioning spatial production as something creators can depend on, not just test-drive.

And that’s the shift worth watching in 2026: spatial filmmaking isn’t just about headsets getting better. It’s about the behind-the-scenes pipeline becoming stable enough that creators can treat immersive production like a real, repeatable craft—because the tools finally hold up under pressure.

Source:PRNewswire – GIGABYTE press release

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