Tools & Platforms
Kennesaw State Researcher Pioneers New Frontiers for AI Beyond Cloud

Artificial Intelligence (AI) has become synonymous with complex systems, mega data centers, and sophisticated algorithms. However, a groundbreaking initiative led by Bobin Deng, an assistant professor at Kennesaw State University’s College of Computing and Software Engineering, aims to democratize access to AI. With recent support from the National Science Foundation (NSF), Deng is working on pushing the boundaries of AI applications beyond the confines of high-powered servers and into personal devices, where it can have a profound impact on everyday lives. This shift is not just about convenience; it is about fundamentally changing how AI interacts with individuals and small systems.
Integrating AI into personal devices is more than a mere upgrade; it represents a pivotal moment in technology. Current AI systems predominantly operate on robust, expensive servers, often requiring a stable internet connection, which limits their accessibility and usability. Deng proposes a revolutionary approach, allowing AI algorithms to function offline on devices such as smartphones, drones, and even industrial sensors. By doing so, he envisions a future where advanced technology is not just reserved for large corporations or research institutions but can be harnessed by anyone, anywhere.
The core concept of Deng’s research revolves around a technique known as activation sparsity. This ingenious method exploits the fact that in any given AI model, only a fraction of neurons are actively engaged during computation. Instead of overwhelming devices with demands for all data to be loaded simultaneously, this approach allows the system to anticipate which data points will likely be required and pre-load only those necessary components. This not only conserves memory resources but also accelerates processing speeds while significantly lowering energy consumption—an essential factor in prolonging the lifecycle of portable devices.
In essence, the current methodology employed to reduce the size and complexity of AI models typically involves either diminishing the precision of data or eliminating less significant parameters. However, the innovative activation sparsity technique proposed by Deng diverges from these traditional methods. By predicting which values will activate during the course of a model’s operation, he can combine this strategy with existing methods like pruning and quantization. This multi-faceted approach ultimately leads to an unprecedented level of efficiency in AI systems that could redefine how developers conceptualize and deploy their software solutions.
Deng’s research team is engaging in empirical studies to test tiny machine-learning models as predictive support for larger systems. This interplay between small-scale predictive models and more extensive systems may bridge gaps that previously existed between advanced AI applications and user-friendly technologies. The implications of this work stretch beyond the technical realm; they highlight a shift towards embedding AI capabilities into the very devices we use daily, thus streamlining processes and enhancing user experience.
A major aspect of Deng’s initiative includes the development of an open-source simulator, which is designed to allow students and fellow researchers to interact with and refine this pioneering technology. By fostering an environment of collaboration and shared learning, the simulator could accelerate innovation in the field of AI, providing a robust platform for testing and iteration that goes beyond the walls of Kennesaw State University.
The significance of this NSF-funded project cannot be overstated, as it is positioned to impact educational programs, particularly at Kennesaw State, which recently launched a Master of Science in Artificial Intelligence program. The potential applications of Deng’s research extend beyond academia into numerous industries, with prospects ranging from monitoring factory robotics to addressing predictive maintenance in various sectors. This fusion of academic inquiry and practical application stands to enhance the way industries operate, making smarter and more effective use of AI strategies.
Within the supportive ecosystem at Kennesaw State, Deng has noted the substantial assistance he has received, which has been conducive to his research and its administrative aspects. The university has provided him the necessary resources and a conducive environment to pursue such ambitious projects. This collaboration highlights the crucial role that educational institutions play in nurturing groundbreaking research and fostering innovation that advances technology.
As AI technology continues to evolve, forward-thinking researchers like Deng are crucial in steering its development towards responsible and beneficial uses. By focusing on accessibility and efficiency, his work promises to remove barriers to AI engagement and make advanced computational tools available to a broader audience. Institutions such as Kennesaw State are paving the way for a new generation of innovations that can bridge the gap between high-tech and everyday uses.
The overarching vision espoused by Deng and his team underscores a key aspect of future technological development: that the most powerful tools should not only be in the hands of the few but should empower individuals and small enterprises. This vision aligns with Kennesaw State’s mission to prepare students for an increasingly technology-driven future while simultaneously addressing real-world challenges in diverse domains.
As we stand on the brink of a new age of technology, where artificial intelligence becomes an integral part of our daily lives, the work being done by Kennesaw State University’s Bobin Deng exemplifies the innovative spirit and forward-thinking mindset that will drive this evolution. By making AI more accessible and efficient, we can anticipate a world where the possibilities of technology are continually expanded, fueling significant advancements across all sectors of society.
Through research initiatives like Deng’s, the landscape of artificial intelligence is not just being explored; it is being redefined. As these advancements unfold, they promise to enhance the global understanding of AI, fostering greater acceptance and use in a multitude of contexts, ultimately leading towards a more connected and intelligent world.
The convergence of advanced AI techniques with personal and industrial devices could soon mark a transformative chapter in technology, fostering a scenario where cutting-edge capabilities are available to everyone and facilitating a future filled with potential innovations and breakthroughs that benefit society at large. Such work underlines the importance of continuing investment in scientific research and education, essential components for nurturing the next generation of leaders in technology and engineering.
Subject of Research: Accessibility of Artificial Intelligence through Activation Sparsity.
Article Title: Revolutionizing AI: Making Artificial Intelligence Accessible Beyond the Cloud.
News Publication Date: October 2023.
Web References: Kennesaw State University, NSF.
References: National Science Foundation Grant Documents.
Image Credits: Darnell Wilburn / Kennesaw State University.
Keywords
Artificial Intelligence, Activation Sparsity, Kennesaw State University, National Science Foundation, Sustainable Smart Systems, Machine Learning.
Tags: activation sparsity techniqueAI accessibility in personal devicesAI applications beyond cloudBobin Deng AI initiativedemocratizing artificial intelligencefuture of decentralized AIKennesaw State University researchNational Science Foundation supportoffline AI algorithmspersonal device AI integrationsmall systems AI interactiontransforming everyday technology
Tools & Platforms
The Tech Elites Trying to “Build Canada” Can Only Muster AI-Written Prose

The technology executive suffers from a unique affliction. Call it disruptivitis: he (it’s almost always a he) will stumble upon a well-trod idea, give it a new name, and then claim credit for its discovery. Often, this idea will involve privatizing a previously public good, placing an app between a customer and an existing product or service, or solving an intractable social problem in such a way that happens to line said executive’s pockets.
Most importantly, this idea is always a priori innovative, by virtue of its origin in the mind of a self-declared innovator—think Athena springing fully formed from Zeus’s forehead. Fortunately for those afflicted, disruptivitis is also the world’s only malady that enriches its sufferers, and the boy-kings of Silicon Valley are its patient zeroes. Elon Musk was the first person to think of subways; the brain trust at Uber recently dreamed up the bus; meanwhile, Airbnb’s leaders decided to go ahead and start listing hotel rooms. Someday soon, a nineteen-year-old Stanford dropout will invent the wheel and become a billionaire.
This plague has now crossed the forty-ninth parallel via something called Build Canada. Its founders insist Build Canada isn’t a lobby group and doesn’t represent “special interest groups,” although it includes a former senior Liberal staffer as co-founder and CEO, several former or current executives and employees at Shopify (one of the country’s most valuable companies), and various other tech- and business-adjacent figures. (Apparently, corporate interests aren’t “special.”) They describe Build Canada as a project that will, it seems, close up shop whenever the government finally sees the light and implements their ideas, which are spelled out via a series of “memos.”
The project has attracted attention in political and tech circles; Liberal prime minister Mark Carney even established a Build Canada cabinet committee, despite the fact that, according to reporting by The Logic, a number of the project’s founders have turned hard right and backed the Conservatives in the last election.
But the memos have received less notice—and that’s a problem. They’re the core of the project, spelling out, in detail, the goals and world views of its backers; they’re also instructive as literary artifacts, with their own tics and tells. Perhaps it’s time we read these memos with the care upon which they so stridently insist.
As of this writing, there are thirty-six Build Canada memos. They’re policy proposals, basically, but they’re also intended to be works of political rhetoric, crafted (although, as we’ll see, “generated” might be the more apt verb) by people who believe that prose can move power. More than anything, though, the memos evoke the post-literate era’s most influential rhetorical form: the tech start-up pitch deck.
For one thing, the memos are utterly disinterested in language itself and seem to be pitched at someone with the attention span of a ketamine-addled venture capitalist. Many would require the translation services of a Y Combinator alumnus, with a lot of thoughts on “seconding employees” and “micromobility solutions,” as well as suggestions for “transition validated technologies” and a “follow-on non-dilutive capital program.” One representative passage: “Today in 2025, LCGE and CEI’s true combined cap is only $1.25M. And while QSBS shields 100% of gains up until the policy cap for individuals and corporations, Canada’s CEI would only shields [sic] 66.7% of gains for individuals.” Not exactly Two Treatises of Government or What Is to Be Done? A prior version of the Build Canada website said unnamed “experts” review each memo before publication, but expert editors don’t seem to be among them. Even government white papers have more flair.
This raises an important question, one crucial to any work of rhetoric: Who are these memos—with their gumbo of lofty self-regard, change-the-world ambition, and Instagram-reel reading level—actually for? If they’re intended for a general audience, aiming to inspire the Canadian public to rally around such stirring, big-tent goals as stablecoin adoption and capital gains reform, why do they dwell on “structured procurement pathway” and “major process driven services”? If, on the other hand, they’re intended as private lobbying tools, for a small audience of elected officials and aides, why make a whole-ass website?
The simplest explanation: the people behind Build Canada are too online. Its founders say they got together because “We got sick of sharing bold ideas on social media, in private chats and political events, and seeing nothing happen.” Now, most normal people, upon typing a sentence like that, would be self-aware enough to step away from the keyboard, take up an interesting hobby like cross stitching or Warhammer, and never speak of this brief lapse in judgment again. (Tellingly, that line has since been scrubbed from the Build Canada website.) But, remember, the technology executive is not like you or me. His ideas are always bold—which means their lack of implementation is not just a personal affront but open defiance of the natural order. It should be enough for him to tweet these ideas and leave the details to the peons.
Like so many terminally online posters before them, though, Build Canada’s founders have mistaken an audience of social media sycophants for a popular base of support. The great robber barons of old at least had the decency and good sense to stay behind the curtain. But, for today’s wealthy, influence isn’t enough. They want credit too. Musk posted a lot on Twitter; then he bought Twitter; then he bought a president. Build Canada founders appear to be on the same path—although, like proper Canadians, they’re still playing catch-up with the Americans.
If the memos are supposed to be works of persuasion, one has to ask: Why are they so poorly written? The obvious answer is that they’re produced with the help of generative artificial intelligence. Build Canada admits this. “It’s an experiment in how we could be doing things,” co-founder Daniel Debow has said, an excuse that red-handed undergraduates might want to keep on mental file. Indeed, the memos bear all of a chatbot’s hallmarks: bulleted lists, bolded headers, circular logic, business-school jargon, pleonasms, repetition. The generalizations are sweeping, the ideas visionary—albeit within a circumscribed vocabulary. Build Canada’s proposals are frequently “bold” (twenty-one uses, by my count). The country is in “crisis” (thirty-five), but it would be “world-class” (twenty) if not for all those “outdated” (eighteen) regulations and policies, although the most pressing issues at hand are “investment” (195), “innovation” (109), and “productivity” (forty-two), rather than, say, climate change (three) or poverty (three).
Build Canada’s reliance on AI isn’t surprising, since it seems to be the project’s glue, both the solution to government waste and a God-given right. (The irony of a large language model extolling its own virtues goes unremarked upon.) It’s also the future of art and entertainment, per one disquieting memo that advocates the redirection of cultural funding toward AI-related “content.” “Shift emphasis from rewarding sheer volume or traditional labour inputs towards incentivizing projects demonstrating innovative human-AI collaboration, development of Canadian AI creative tools, and global competitiveness,” the memo intones, in chillingly businesslike terms. “Redirect a portion of existing funds from less impactful programs towards these AI-readiness priorities.”
Build Canada’s founders point out, again and again, that they’re doing this on a volunteer basis, simply because they care about the country so much. If that’s true, why can’t they be bothered to write anything themselves, rather than turning to a chatbot? For all their complaints about “inertia” and “small thinking” holding the country back, it’s hard to imagine anything more inert or small minded than leaning on AI to churn out a couple of unremarkable paragraphs. Contempt for language is a form of contempt for the reader, and the overriding tone of the Build Canada memos is one of annoyance at having to spell out all these self-evident ideas for us little people.
If the style of the Build Canada memos leaves something to be desired, what about the substance—the policy ideas themselves? Some are good, or unobjectionable, or common sense. Canada should produce more food locally. Canadian telecoms have a monopolistic stranglehold on the market. Canadians should control their financial data. Canada needs high-speed rail and more housing. If you’re a normal person, you might believe that the reason these problems haven’t been fixed is that certain powerful players have certain economic incentives to oppose certain reforms—which results in those reforms being stymied. You might then draw the conclusion that the chief issue is greed and malice.
According to Build Canada, you’d be wrong. Who cares if, say, the housing crisis isn’t solely caused by a shortage of units but—to name a few other hypothetical culprits—the rise of corporate landlordism, a staggering drop in affordable and social housing stock, and an equally staggering decline in consumer purchasing power? Never mind. The only problem is all that pesky red tape. Might the Canadian consumer’s lack of financial data portability have something to do with the outsize political power of the country’s biggest banks? Let’s not get into that. In Build Canada’s world, there are almost no entrenched interests (except, that is, for public sector employees). The problem is always big government and low ambition.
If you lack the serene benevolence of the technology executive, some of Build Canada’s other proposals might give you pause. Again, though, that’s a you problem. Are you worried about the high rates of accidents from self-driving cars, or fires from e-bike battery meltdowns, or the accessibility hazards posed by electric scooters? You’re a NIMBY. Do you suspect that cryptocurrencies are really just unregulated financial securities? You’re living in the past. Are you weirded out by the idea of only funding artists who “celebrate Canadian achievement and ambition”? You’re short sighted. Are you troubled by the climate-change impact of fast-tracking every major fossil fuel project in the country? You’re unrealistic. Are you creeped out by a points-based rewards system for new immigrants? You’re soft. Do you have reservations about the wholesale embrace of generative artificial intelligence, given its long-term implications for employment, energy use, and the survival of the human spirit? You’re out of touch.
If, however, you have certain “outdated” ideas about any of the issues tackled by the Build Canada genius bar—if, for example, you believe that the clear-and-present climate catastrophe might require stopping new pipeline development rather than accelerating it, or that a technology like AI should be safely regulated rather than handed over for Pandora to crank open—you might be led to the conclusion that Build Canada has a very specific reason for blaming all the country’s ills on laziness and bureaucracy. In fact, you might begin to suspect that its founders are pointing the finger at everyone except themselves. You might notice that Build Canada has next to nothing to say about, for example, income inequality. You might wonder if—hypothetically—this has something to do with the class interests and net worth of its founders.
You might even allow your mind to wander down unexpected pathways—the sorts of meanderings and sense-memory flashbacks of which AI chatbots are, mercifully, not yet capable—until, for some reason, you realize that “Build Canada” has the same cadence as “Blame Canada,” the classic song from 1999’s South Park: Bigger, Longer & Uncut. And, in another surprising mental leap, you might then recall the song’s final line, which, for reasons you can’t quite put a finger on, sounds awfully apt right now: “We must blame them and cause a fuss / before somebody thinks of blaming us.”
Tools & Platforms
Could gen AI radically change the power of the SLA?

Clorox’s lawsuit cites transcripts of help desk calls as evidence of Cognizant’s negligence, but what if those calls been captured, transcribed, and analyzed to send real-time alerts to Clorox management? Could the problem behavior have been discovered early enough to thwart the breach?
Here, generative AI could have a significant impact, as it delivers the capability to capture information from a wide range of communication channels — potentially actions as well via video — and analyze for deviations from what a company has been contracted to deliver. This could deliver near-real-time alerts regarding problematic behavior in a way that could spur a rethinking of the SLA as it is currently practiced.
“This is flipping the whole idea of SLA,” said Kevin Hall, CIO for the Westconsin Credit Union, which has 129,000 members throughout Wisconsin and Minnesota. “You can now have quality of service rather than just performance metrics.”
Tools & Platforms
Box’s new AI features help unlock dormant data – Computerworld

AI provides a technique to extract value from this untapped resource, said Ben Kus, chief technology officer at Box. To use the widely scattered data properly requires preparation, organization, and interpretation to make sure it is applied accurately, Kus said.
Box Extract uses reasoning to dig deep and extract relevant information. The AI technology ingests the data, reasons and extracts context, matches patterns, reorganizes the information by placing it in fields, and then draws correlations from the new structure. In a way, it restructures unstructured data with smarter analysis by AI.
“Unstructured data is cool again. All of a sudden it’s not just about making it available in the cloud, securing it, or collaboration, but it’s about doing all that and AI,” Kus said.
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