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NASA’s GOLD mission finds surprising C, X shapes in atmosphere

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NASA’s GOLD mission finds surprising C, X shapes in atmosphere


Alphabet soup: NASA's GOLD finds surprising C, X shapes in atmosphere
Images from NASA’s GOLD mission show C-shaped and reverse-C-shaped plasma bubbles appearing close together in the ionosphere on Oct. 12, 2020, and Dec. 26, 2021. Credit: D. Karan et al.

Who knew Earth’s upper atmosphere was like alphabet soup? NASA’s Global-scale Observations of the Limb and Disk (GOLD) mission has revealed unexpected C- and X-shaped formations in an electrified layer of gas high above our heads called the ionosphere.

While these alphabetical shapes have been observed before, GOLD sees them more clearly than other instruments have and is now finding them where and when scientists didn’t expect. Their surprise appearances prove that we have more to learn about the ionosphere and its effects on communication and navigation signals that pass through it.

Earth’s dynamic interface to space

Extending some 50 to 400 miles overhead, the ionosphere becomes electrically charged during the daytime when sunlight strikes our planet and its energy knocks electrons off atoms and molecules. This creates a soup of charged particles, known as plasma, that allows radio signals to travel over long distances.

Near Earth’s magnetic equator, charged particles are funneled upward and outward along magnetic field lines, creating two dense bands of particles north and south of the equator that scientists call crests. As night falls and the sun’s energy fades, low-density pockets in the plasma, called bubbles, can form in the ionosphere. Because of their varying density, the crests and bubbles can interfere with radio and GPS signals.

While previous observations provided brief glimpses of crests and bubbles in the ionosphere, GOLD monitors these features over extended periods of time. That’s thanks to its geostationary orbit, which circles our planet at the same rate as Earth rotates, allowing GOLD to hover over the Western Hemisphere.







This visualization shows C-shaped and reverse-C-shaped plasma bubbles appearing close together in the ionosphere on Oct. 12, 2020, and Dec. 26, 2021, as observed by NASA’s GOLD mission. The bubbles appear as dark blue vertical features extending between two bright (dense) crests. See more visualizations from NASA’s Scientific Visualization Studio. Credit: NASA’s Scientific Visualization Studio

Unexpected X-shaped crests from quiet conditions

The ionosphere is sensitive to disturbances from both space and terrestrial weather. GOLD has previously revealed that after a solar storm or huge volcanic eruption, the crests in the ionosphere can merge to form an X shape. But now, GOLD has seen an X shape form on multiple occasions when there were no such disturbances—what scientists refer to as “quiet time.”

“Earlier reports of merging were only during geomagnetically disturbed conditions—it is an unexpected feature during geomagnetic quiet conditions,” said Fazlul Laskar, of the University of Colorado’s Laboratory for Atmospheric and Space Physics (LASP), who is the lead author of a paper about this discovery published in the Journal of Geophysical Research: Space Physics.

These unexpected appearances tell scientists that something else must be involved in forming these X shapes. Computer models suggest that the X could develop when changes in the lower atmosphere pull plasma downward.

“The X is odd because it implies that there are far more localized driving factors,” said Jeffrey Klenzing, a scientist at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, who studies the ionosphere. “This is expected during the extreme events, but seeing it during ‘quiet time’ suggests that the lower atmosphere activity is significantly driving the ionospheric structure.”







This visualization shows a bright, horizontal X-shaped feature appearing in the ionosphere on Oct. 7, 2019, as observed by NASA’s GOLD mission. Each of GOLD’s observations cover about 45 degrees in longitude and proceed from east to west, alternating between the Northern and Southern hemispheres. Rayleigh is a unit for measuring the amount of light (in this case, ultraviolet light). See more visualizations from NASA’s Scientific Visualization Studio. Credit: NASA’s Scientific Visualization Studio

C-shaped bubbles point to strong turbulence

GOLD has also found surprising C-shaped plasma bubbles that point to other puzzling dynamics influencing the ionosphere.

Most plasma bubbles appear long and straight, forming along magnetic field lines. But some bubbles are curved into C shapes and reverse-C shapes, which scientists think are shaped by terrestrial winds. Computer models suggest a C-shape forms if winds increase with altitude at the magnetic equator and a reverse-C forms if the winds decrease with altitude.

“It’s a little like a tree growing in a windy area,” explains Klenzing. “If the winds are typically to the east, the tree starts to tilt and grow in that direction.”

Alphabet soup: NASA's GOLD finds surprising C, X shapes in atmosphere
Observations from NASA’s GOLD mission shows charged particles in the ionosphere forming an X shape on Oct. 7, 2019. (The colors indicate the intensity of the ultraviolet light emitted, with yellow and white indicating the strongest emission, or highest ionospheric density.). Credit: F. Laskar et al.

In a paper published in November 2023 in the Journal of Geophysical Research: Space Physics, LASP scientist Deepak Karan and colleagues report that GOLD has observed C-shaped and reverse-C-shaped plasma bubbles appearing surprisingly close together—as close as about 400 miles apart (roughly the distance between Baltimore and Boston).

“Within that close proximity, these two opposite-shaped plasma bubbles had never been thought of, never been imaged,” said Karan. To have wind patterns change course in such a small area, Karan thinks some sort of strong turbulence—like a vortex, wind shear, or tornado-like activity—is likely at play in the atmosphere.

“The fact that we have very different shapes of bubbles this close together tells us that the dynamics of the atmosphere is more complex than we expected,” Klenzing said.

These close pairings appear to be rare, with only two instances recorded by GOLD so far. Yet because these features can disrupt critical communication and navigation technology, “It’s really important to find out why this is happening,” Karan said. “If a vortex or a very strong shear in the plasma has happened, this will completely distort the plasma over that region. Signals will be lost completely with a strong disturbance like this.”

Scientists hope GOLD’s continued observations, combined with those from other heliophysics missions, can help unlock these mysteries of the ionosphere and their effects on our lives.

More information:
F. I. Laskar et al, The X‐Pattern Merging of the Equatorial Ionization Anomaly Crests During Geomagnetic Quiet Time, Journal of Geophysical Research: Space Physics (2024). DOI: 10.1029/2023JA032224

Citation:
Alphabet soup: NASA’s GOLD mission finds surprising C, X shapes in atmosphere (2024, June 27)
retrieved 27 June 2024
from https://phys.org/news/2024-06-alphabet-soup-nasa-gold-mission.html

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AI reality lags the hype in Swiss tech industries

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AI reality lags the hype in Swiss tech industries


AI reality lags the hype in Swiss tech industries
Adaption of AI in Manufacturing. Credit: ETH Zurich

Artificial Intelligence (AI) has found its way into everyday operations in various industries. The pharmaceutical industry uses AI to discover new drugs, the consumer goods industry uses it for quality control, and in the office sector generative AI co-pilots are redefining many work processes. But how widely do Swiss tech companies use AI and in which areas is it being deployed?

AI is important, but so far adoption has been slow

“Overall, the adoption of AI in the Swiss tech industries is not advanced,” says Torbjørn Netland, Professor of Production and Operations Management at ETH Zurich. Netland draws this conclusion from a survey conducted by his Chair in collaboration with Swissmem and Next Industries, in which more than 200 Swiss tech companies took part. The survey sends a mixed message: AI is important, but so far its adoption has been slow, in fact hardly implemented beyond initial pilot tests.

In terms of manufacturing-related applications, half of the companies responded that they have not yet considered the use of AI, and a further fifth has considered the use of AI but found it not relevant enough to pursue it further. 10% are currently conducting pilot tests and another 12% are planning tests. Only few companies have indicated scaled use of AI in manufacturing.

Ambitious plans for the near future

“If you take a closer look at the responding companies, you realize that it is particularly the small and financially constrained companies that have not yet addressed the issue,” says Netland. This finding is underpinned by the responses to the question of how companies expect AI to be implemented in manufacturing in three years’ time. While many companies have ambitious plans overall—16% expect to implement AI at scale and another 22% to conduct pilot tests—the less profitable ones show less ambition.

The picture looks brighter in other areas of application. In R&D (research and development) the share of companies that are already in the phase of pilot testing is twice as large as for manufacturing, at 22%. About one-third of the companies plan to adopt AI applications at scale in R&D over the next three years. The figures for sales and marketing are similar, as are those for customer service and tech support.

“Reasons for the broader adoption in office functions may be more readily available data compared to manufacturing and the potential for utilizing generative AI like ChatGPT or Microsoft Copolit,” explains Netland.

Sobering results considering the AI hype

The results of the survey contrast other reports that suggest a much higher implementation of AI in the tech industry. “These reports are often written by organizations with vested interests in showing AI implementation, such as consulting companies, IT companies, or AI vendors,” says Netland.

He suggests many other studies have serious sample bias issues. For example, when consulting firms survey their clients or when AI conferences interview participants. He firmly believes that the ETH survey better reflects the actual situation: reality is lagging the hype.

Nevertheless, Netland believes the Swiss tech industry is keeping pace with international competitors. “If we repeated our survey with a representative European sample, the results would likely be aligned with ours, probably show even less experimentation and implementation,” Netland says.

The Swiss tech industry is known as a frontrunner in technology and manufacturing. It is also known for its innovation capabilities, excellent education system, and relatively good access to AI talent. Although, the lack of access to AI-related xcmpetences is currently seen as the most important barrier for advancing AI usage in Switzerland’s tech industry.

Two-thirds of the companies answer that they have either “not at all” or only “to a limited extent” access to in-house AI skills or AI talent at universities. “To deliver on this potential without falling behind other countries, the skill and training gap in Switzerland concerning AI needs to be closed,” says Netland.

At the same time, he is convinced that other nations are not ahead. Dr. Oliver von Dzengelevski, who coordinated the survey project, adds that if industry and academia manage to collaborate effectively in closing the skills gap, know-how in the use of AI in manufacturing could in the future turn from an obstacle into a locational advantage for Swiss manufacturers.

Efficiency improvement most important driver

There is another reason why the two believe that Swiss companies are on par internationally. Swiss manufacturers are pragmatic and smart; they don’t jump on the bandwagon just to be part of the hype.

In the survey only a fifth of companies indicated that their AI adoption is driven to a large or very large extent by current trends in the industry. Efficiency improvement emerged as the most important driver. Furthermore, his statement is backed by the fact that most of those who implement and use AI report to be satisfied with the results.

In his experience, he stresses the productivity improvement that AI can bring to organizations in Switzerland and abroad. “There is no doubt that it can be a game changer.” Yet, to this day, most companies are not yet AI-ready. For example, they lack the data governance or IT infrastructure needed to release the potential of AI.

“The good news for them is that their competitors aren’t ready either,” Netland says. “The question is, for how long?”

Recommendation: create a coherent AI strategy

What do the experts advise companies that want to implement AI to do? “In view of the low adoption rates, and the barriers to and challenges of AI adoption, managers should consider formulating a coherent AI strategy for their company—aligned with their goals for digital transformation,” the report outlines. This is significant in that only one in four companies stated in the survey that they had an AI strategy in place.

The experts also advise companies to invest in in-house AI talent. Furthermore, they suggest that companies keep a realistic view of AI adoption and what it can bring. “Start with asking the question, ‘what problem are we trying to solve?”,” advises Netland.

Finally, what pitfalls should companies avoid at all costs? “Overreliance and AI distrust,” Netland says. According to Netland, overreliance means implementing AI and letting it run the show. This would not only risk reducing workers’ knowledge, but also harbors the risk of succumbing to AI “hallucinations” and errors.

Distrust of AI, on the other hand, stifles attempts to explore AI and leaves its full potential on the tablel. “As for most things in life there is a golden middle way, and Swiss companies are often good at finding it,” says Netland.

More information:
The state of AI in the Swiss tech industry: Results from a survey by ETH Zurich in cooperation with Swissmem and Next Industries, ETH Zurich (2024). DOI: 10.3929/ethz-b-000678173

Citation:
AI reality lags the hype in Swiss tech industries (2024, June 27)
retrieved 27 June 2024
from https://techxplore.com/news/2024-06-ai-reality-lags-hype-swiss.html

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Researchers discover how nerve cells in bat brains respond to their environment and social interactions with other bats

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Researchers discover how nerve cells in bat brains respond to their environment and social interactions with other bats


Researchers discover how nerve cells in bat brains respond to their environment and social interactions with other bats
Wild Egyptian fruit bat in flight. Credit: Weizmann Institute of Science, Rehovot, Israel

Researchers have found that nerve cells in the hippocampus region of the brain encode complex information on numerous characteristics of other individuals in the same social group.

The work, which is being carried out in bats, is the first to show this in a large, mixed-sex group of wild, social animals, and is important because it sheds light on how the brain operates and generates thinking processes and behavior.

Professor Nachum Ulanovsky, Head of the Center for Learning, Memory and Cognition at the Weizmann Institute of Science, Rehovot, Israel, has published numerous studies on how the brain works in bats. In his presentation to the Federation of European Neuroscience Societies (FENS) Forum 2024, he described previous studies on how bats navigate, learn and remember details of the spaces they fly in, and how they interact socially.

In his new study, he digs deeper into how the nerve cells (neurons) in a specific region of the hippocampus, which is responsible for memory and spatial understanding, play a much more complex role. He believes that as the bat hippocampus is very similar to the human hippocampus, similar findings will be discovered in humans in the future.

“Our brain makes us who we are. Our behaviors, emotions, thoughts, memories, our successes and failures are all determined by our brains. It is therefore a fascinating question: How does the brain operate? How does the brain generate behavior and cognition? To address this in a detailed manner, we must record the activity of individual neurons—the basic operating units of the brain—while humans or animals perform various behaviors and cognitive tasks. This is technically easier to do in animals than in humans, which is why recording the activity of individual neurons in behaving animals is crucial for understanding the brain,” he said.

Researchers discover how nerve cells in bat brains respond to their environment and social interactions with other bats
Wild Egyptian fruit bat in flight. Credit: Weizmann Institute of Science, Rehovot, Israel

Prof. Ulanovsky and his colleagues created a “bat cave” in their laboratory for colonies of wild Egyptian fruit bats, which are highly social mammals. Each group had between five and ten bats with roughly equal proportions of males and females. The bat cave measured 2.7 x 2.3 x 2.6 meters, and it was equipped with large and small nets between which the bats could fly. The bats knew each other, lived together in the bat cave for several months and were free to fly and interact with each other.

The researchers attached tiny wireless-electrophysiology systems to each bat, which recorded the electrical activity of neurons in the bats’ brains during natural behaviors, such as flight, navigation and social interactions. The bats were also tagged and bar-coded, which enabled the researchers to track the locations and identities of the bats in 3D. The researchers used video cameras to record the bats’ head directions and social interactions when they were hanging in the nets.

Prof. Ulanovsky said, “We discovered a whole host of very strong social signals in the hippocampus. We found that neurons in the hippocampus represented the positions and identities of multiple other bats, creating a social-spatial representation—that is, the neurons encoded who was located where. Moreover, these neurons represented highly important social factors such as the sex of the other bat, its place in the dominance hierarchy (is it a dominant or a subordinate bat?), its social affiliation (is the other bat my friend or not?), and also represented specific forms of social interaction.

“This study suggests that beyond the classical roles of the hippocampus in representing memory and space, the hippocampus may have an additional role in social processing. In particular, it may link these three aspects—social, space and memory—into one unified representation of social-spatial memories.

“Brain research typically focuses on the behaviors of individual animals and humans, and when social behaviors are studied, they are usually investigated in pairs of animals that are socially interacting. But many of our social behaviors inherently involve multiple individuals: Think of your class, your family dinner, the last party you went to, or the latest ball game that you watched. These are all group social behaviors. Nevertheless, to date there have been very few studies of neuronal activity in the brains of animals that are socially interacting in a group. In particular, there have been very few such studies of this in the hippocampus.”

Researchers discover how nerve cells in bat brains respond to their environment and social interactions with other bats
Wild Egyptian fruit bats in flight. Credit: Weizmann Institute of Science, Rehovot, Israel

He believes it is important to study the brain in animals that are behaving naturally and in social groups, and not just during the controlled behaviors that are normally used in brain research, as the results can be different.

“I plan to continue studying the brain during ever more naturalistic behaviors, both social behaviors and navigation behaviors. The bat hippocampus and its connections are extremely similar to the human hippocampus in terms of their structure. Therefore, I expect that similar findings will be discovered in humans in the future,” he concluded.

Professor Richard Roche, Deputy Head of the Department of Psychology at Maynooth University, Maynooth, County Kildare, Ireland, is chair of the FENS communication committee and was not involved in the research. He said, “If we can understand the mechanisms that contribute to who we are, where we are, our characters, our motivations, our emotions, how we think and so much else, then we can begin to discover what is different when we have conditions such as depression, anxiety, autism or other conditions related to how our brains behave.

“This fascinating work by Professor Ulanovsky uncovers how individual neurons in the hippocampus are encoding important information about the environment that these bats are living in and about other bats in their social groups. This gives us indicators of what to look for and where to look when we investigate this in humans.”

More information:
“Hippocampal coding beyond the representation of self-location”, by Professor Nachum Ulanovsky, Session S34: The dynamism of the hippocampal neural code, 09.47-10.05, Friday 28 June, Hall B: fens2024.abstractserver.com/pr … ls/presentations/263

Provided by
Federation of European Neuroscience Societies

Citation:
Researchers discover how nerve cells in bat brains respond to their environment and social interactions with other bats (2024, June 27)
retrieved 27 June 2024
from https://phys.org/news/2024-06-nerve-cells-brains-environment-social.html

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Other countries have struggled to control how kids access the internet. What can Australia learn?

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Other countries have struggled to control how kids access the internet. What can Australia learn?


using cell phone
Credit: Unsplash/CC0 Public Domain

Debate continues to rage in Australia over whether children should (or can) be banned from social media. Following politicians’ recent promises to ban those under 16 from the platforms, eSafety Commissioner Julie Inman Grant has raised concerns that imposing age restrictions could push children to use social media in secret and limit their access to critical social supports.

A recent analysis in the United Kingdom found a social media ban “would solve nothing“, citing evidence from an 18-year study across 168 countries that showed “no causal relationship” between internet access and young people’s well-being.

The Australian federal government is committed to trial age assurance technology to restrict children‘s access. For now, it’s unclear what tech solutions currently exist that could effectively restrict access by age.

Other countries have tried, and mostly failed, to ban children from accessing online content for decades. Australia would be wise to heed the lessons learned from these experiences.

What has the United States tried?

The Children’s Online Privacy Protection Rule (COPPA) was introduced in the United States in 1998. It continues to influence how children—globally—access information online.

COPPA imposes several requirements on “operators of websites or online services” who gather personal information from children under 13. This includes the need to obtain parental consent.

To comply with this law, many companies (including social media platforms) imposed bans on children under 13 from accessing online services.

However, these bans have been heavily criticized for contributing to age fraud online. They also limit children’s rights to access information and rights to self-expression, as protected under the United Nations Convention on the Rights of the Child.

Another wide-reaching attempt to restrict children’s access to “obscene or harmful content over the internet” was introduced in the United States in 2000.

The Children’s Internet Protection Act (CIPA) required schools and libraries to control the content children could access online. This was typically achieved using internet filters which blocked searching for particular words.

However, these blunt instruments often blocked useful information. A blocked search for the word “breast” to limit access to pornographic content could also block information on breast cancer, for example.

Over many years, research has shown internet filtering is ineffective at shielding children from bad experiences online.

Unsuccessful age bans

Many other countries have imposed bans on children’s access to online content, with varying degrees of success.

South Korea imposed a “shutdown law” in 2011. It was designed to address online gaming addiction by limiting those under 16 from accessing gaming sites after midnight.

However, many children used accounts in their parents’ names to continue accessing gaming sites. The law also faced legal challenges, with parents concerned about restrictions on their rights to parent and educate their children. The law was abolished in 2021.

In 2015, the European Union introduced legislation that would ban children under 16 from accessing online services (including social media) without parental consent.

The proposed legislation was controversial. There was a significant outcry from technology companies and human rights organizations. They claimed the rules would violate children’s rights to expression and access to information.

The law was amended to allow individual countries to opt out of the new age ban, with the United Kingdom opting to keep limits only for those under age 13. This patchwork approach meant individual countries could set their own limits.

In 2023, for example, France enacted a law requiring social media platforms to restrict access for teens under 15 unless authorized by a parent or guardian.

Today, Europe leads the world in imposing significant online protections for children, with huge implications for tech companies.

In 2023 a new Digital Services Act was introduced, which forbids platforms like Instagram, Facebook, TikTok and Snapchat from targeting children with personalized advertisements.

Rather than banning children from online services, this legislation focuses on controlling how very large platforms engage with children. It’s meant to ensure protections are in place to manage harmful content and algorithmic influences on platform use.

What can Australia learn from these global attempts?

A critical message over the last two decades is that bans are not effective. While technological interventions (like filtering and age assurance technologies) continue to improve, there are many workarounds (such as using others’ accounts) that make it impossible to ban children outright.

One effective approach has focused on protecting children’s personal data. This has led to long-standing requirements for companies to comply with restrictions. India and Brazil have recently introduced similar data-focused protections for children.

However, for older children, significant restrictions can conflict with UN protections for children’s rights. Australia must carefully balance potential conflicts when attempting to limit or ban children’s online access.

Even if Australia did impose a ban for children under 16, it would be unlikely to reshape global approaches to such bans.

The US and EU are large markets, with significant influence on the actions of technology companies. As with COPPA’s influence on limiting social media access for children under 13 globally, it’s likely that American and European policy innovations will continue to play a primary role in shaping global approaches.

Australia should lead by aligning its approach to these international endeavors to bolster appropriate protections for young children. At the same time, we should help parents educate older children about appropriate social media use.

This strikes an appropriate balance between protecting children’s rights to access information and express themselves, while ensuring guardrails are in place to do so safely.

Provided by
The Conversation


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

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Other countries have struggled to control how kids access the internet. What can Australia learn? (2024, June 27)
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Google launches Gemini, upping the stakes in the global AI race

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Google launches Gemini, upping the stakes in the global AI race


Google launches Gemini, upping the stakes in the global AI race
Alphabet CEO Sundar Pichai speaks about Google DeepMind at a Google I/O event in Mountain View, Calif., May 10, 2023. Google took its next leap in artificial intelligence Wednesday with the launch of a project called Gemini that’s trained to think more like humans and behave in ways likely to intensify the debate about the technology’s potential promise and perils. Google DeepMind is the AI division behind Gemini. Credit: AP Photo/Jeff Chiu, File

Google took its next leap in artificial intelligence Wednesday with the launch of project Gemini, an AI model trained to behave in human-like ways that’s likely to intensify the debate about the technology’s potential promise and perils.

The rollout will unfold in phases, with less sophisticated versions of Gemini called “Nano” and “Pro” being immediately incorporated into Google’s AI-powered chatbot Bard and its Pixel 8 Pro smartphone.

With Gemini providing a helping hand, Google promises Bard will become more intuitive and better at tasks that involve planning. On the Pixel 8 Pro, Gemini will be able to quickly summarize recordings made on the device and provide automatic replies on messaging services, starting with WhatsApp, according to Google.

Gemini’s biggest advances won’t come until early next year when its Ultra model will be used to launch “Bard Advanced,” a juiced-up version of the chatbot that initially will only be offered to a test audience.

The AI, at first, will only work in English throughout the world, although Google executives assured reporters during a briefing that the technology will have no problem eventually diversifying into other languages.

Based on a demonstration of Gemini for a group of reporters, Google’s “Bard Advanced” might be capable of unprecedented AI multitasking by simultaneously recognizing and understanding presentations involving text, photos and video.

Gemini will also eventually be infused into Google’s dominant search engine, although the timing of that transition hasn’t been spelled out yet.

“This is a significant milestone in the development of AI, and the start of a new era for us at Google,” declared Demis Hassabis, CEO of Google DeepMind, the AI division behind Gemini. Google prevailed over other bidders, including Facebook parent Meta, to acquire London-based DeepMind nearly a decade ago, and since melded it with its “Brain” division to focus on Gemini’s development.

The technology’s problem-solving skills are being touted by Google as being especially adept in math and physics, fueling hopes among AI optimists that it may lead to scientific breakthroughs that improve life for humans.

But an opposing side of the AI debate worries about the technology eventually eclipsing human intelligence, resulting in the loss of millions of jobs and perhaps even more destructive behavior, such as amplifying misinformation or triggering the deployment of nuclear weapons.

“We’re approaching this work boldly and responsibly,” Google CEO Sundar Pichai wrote in a blog post. “That means being ambitious in our research and pursuing the capabilities that will bring enormous benefits to people and society, while building in safeguards and working collaboratively with governments and experts to address risks as AI becomes more capable.”

Gemini’s arrival is likely to up the ante in an AI competition that has been escalating for the past year, with San Francisco startup OpenAI and long-time industry rival Microsoft.

Backed by Microsoft’s financial muscle and computing power, OpenAI was already deep into developing its most advanced AI model, GPT-4, when it released the free ChatGPT tool late last year. That AI-fueled chatbot rocketed to global fame, bringing buzz to the commercial promise of generative AI and pressuring Google to push out Bard in response.

Just as Bard was arriving on the scene, OpenAI released GPT-4 in March and has since been building in new capabilities aimed at consumers and business customers, including a feature unveiled in November that enables the chatbot to analyze images. It’s been competing for business against other rival AI startups such as Anthropic and even its partner, Microsoft, which has exclusive rights to OpenAI’s technology in exchange for the billions of dollars that it has poured into the startup.

The alliance so far has been a boon for Microsoft, which has seen its market value climb by more than 50% so far this year, primarily because of investors’ belief that AI will turn into a gold mine for the tech industry. Google’s corporate parent, Alphabet, also has been riding the same wave with its market value rising more than $500 billion, or about 45%, so far this year. Despite the anticipation surrounding Gemini in recent months, Alphabet’s stock edged down slightly in trading Wednesday.

Microsoft’s deepening involvement in OpenAI during the past year, coupled with OpenAI’s more aggressive attempts to commercialize its products, has raised concerns that the non-profit has strayed from its original mission to protect humanity as the technology progresses.

Those worries were magnified last month when OpenAI’s board abruptly fired CEO Sam Altman in a dispute revolving around undisclosed issues of trust. After backlash that threatened to destroy the company and result in a mass exodus of AI engineering talent to Microsoft, OpenAI brought Altman back as CEO and reshuffled its board.

With Gemini coming out, OpenAI may find itself trying to prove its technology remains smarter than Google’s.

“I am in awe of what it’s capable of,” Google DeepMind vice president of product Eli Collins said of Gemini.

In a virtual press conference, Google declined to share Gemini’s parameter count—one but not the only measure of a model’s complexity. A white paper released Wednesday outlined the most capable version of Gemini outperforming GPT-4 on multiple-choice exams, grade-school math and other benchmarks, but acknowledged ongoing struggles in getting AI models to achieve higher-level reasoning skills.

Some computer scientists see limits in how much can be done with large language models, which work by repeatedly predicting the next word in a sentence and are prone to making up errors known as hallucinations.

“We made a ton of progress in what’s called factuality with Gemini. So Gemini is our best model in that regard. But it’s still, I would say, an unsolved research problem,” Collins said.

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Google launches Gemini, upping the stakes in the global AI race (2023, December 6)
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