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Unisys Innovation Program Announces the Winners of Its 17th Competition

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Unisys (NYSE: UIS) announced the winners of its 17th Unisys Innovation Program, a nationwide engineering competition in India focused on real-world tech solutions.

Over 27,000 students registered with 4,487 project submissions across six themes, highlighting advances in AI efficiency, medical diagnostics and enterprise AI security.

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AI-generated analysis. How Rhea-AI works. Not financial advice.

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News Market Reaction – UIS

+14.61%
36 alerts
+14.61% News Effect
+15.5% Peak in 23 hr 43 min
+$40M Valuation Impact
$314.95M Market Cap
1.2x Rel. Volume

On the day this news was published, UIS gained 14.61%, reflecting a significant positive market reaction. Argus tracked a peak move of +15.5% during that session. Our momentum scanner triggered 36 alerts that day, indicating elevated trading interest and price volatility. This price movement added approximately $40M to the company's valuation, bringing the market cap to $314.95M at that time.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The stock surged +14.6% in the session following this news. A sharp gain could highlight investor in...
Analysis

The stock surged +14.6% in the session following this news. A sharp gain could highlight investor interest in Unisys’s AI positioning, echoing the prior AI partnership reaction of 5.57% up. Historically positive brand- and AI-related news helped, though recent insider net selling could temper how durable enthusiasm proves.

Key Figures

Program iteration: 17th iteration Program start year: 2009 Registrants: more than 27,000 registrants +3 more
6 metrics
Program iteration 17th iteration Unisys Innovation Program competition
Program start year 2009 Year Unisys Innovation Program was established
Registrants more than 27,000 registrants 2026 UIP program participation
Project submissions 4,487 project submissions 2026 UIP competition entries
Program themes six themes Scope of 2026 UIP competition
Top teams top three teams Number of teams recognized in competition

Historical Context

5 past events · Latest: Jul 08 (Neutral)
5 events
Date Event Sentiment 24h Move Catalyst
Jul 08 Earnings call scheduling Neutral -2.2% Announced Q2 2026 results release date and related conference call details.
Jun 29 AI partnership Positive +5.6% Announced partnership with Antenna to add AI-powered development observability benchmarks.
Jun 23 Workplace recognition Positive +4.0% Named to 2026 Global Top 100 Most Loved Workplaces with improved ranking.
Jun 11 Partner award Positive +2.7% Received Dell Technologies 2026 Global Alliances Americas Data Center Partner of the Year.
Jun 01 Investor conferences Neutral +4.1% Outlined participation in June 2026 investor conferences with webcast access.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

spiking neural network, structured pruning, post-quantum cryptography, large language models
4 terms
spiking neural network technical
"combines spiking neural network dynamics with structured pruning techniques"
A spiking neural network is an artificial intelligence model that mimics how brain cells send brief electrical pulses, processing information as discrete spikes over time instead of continuous signals. Think of it like a messaging system where timing of short beeps carries meaning; this can make the systems much more efficient for tasks that need fast, low-power responses. It matters to investors because companies using or selling spiking-network software or specialized chips may target markets for energy-efficient AI, edge devices, and neuromorphic hardware, influencing product claims, research direction, and potential revenue streams.
structured pruning technical
"combines spiking neural network dynamics with structured pruning techniques"
Structured pruning is a technique for shrinking machine learning models by removing whole groups of parameters—such as neurons, channels, or layers—rather than individual connections. It matters to investors because it can reduce computing costs, speed deployment on real-world devices, and lower energy use, similar to trimming branches from a tree to keep its shape while making it easier to transport and maintain.
post-quantum cryptography technical
"uses AI and post-quantum cryptography to protect sensitive data"
Post-quantum cryptography is a set of new methods for scrambling data so it stays secure even if powerful quantum computers exist; think of replacing today’s locks with designs that a future high‑speed lockpicker cannot open. For investors, it matters because companies must upgrade systems, meet regulations, and protect customer and trade data—creating costs, competitive advantages, or legal and reputational risks depending on how quickly and effectively they adopt these new security standards.
large language models technical
"safer and more responsible enterprise use of large language models"
Large language models are advanced AI systems trained on vast amounts of text to understand and generate human-like writing, like a very fast reader and writer that learns patterns in words and sentences. They matter to investors because they can change how companies operate—automating customer service, speeding analysis, cutting costs, creating new products—and they introduce risks around accuracy, security and regulation that can affect a firm’s revenue and reputation.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Top three teams recognized for ideas to improve AI efficiency, expand access to medical diagnostics and strengthen enterprise AI security

BENGALURU, India and BLUE BELL, Pa., July 9, 2026 /PRNewswire/ -- Unisys (NYSE: UIS) is pleased to announce the winners of the 17th iteration of the Unisys Innovation Program (UIP), a competition for engineering students across India. Established in 2009, the program bridges the gap between academic learning and hands-on experience by bringing young engineers together with industry experts to develop creative technology-centric real-world solutions.

Unisys Logo

This year's UIP program attracted strong participation, with more than 27,000 registrants and 4,487 project submissions across six themes.

Winners of the 2026 UIP

First Place: RV College of Engineering won first place for their project, "Cross-Paradigm Compression for Efficient AI," which combines spiking neural network dynamics with structured pruning techniques to reduce compute requirements of deep learning models. The framework achieves this reduction while maintaining model accuracy, enabling more efficient and cost-effective deployment of AI across edge and enterprise environments.

Second Place: MS Ramaiah Institute of Technology won second place for their project, "ResoScan," which introduces a portable, radiation-free diagnostic system that analyzes tissue vibrations to detect changes in tissue characteristics, enabling more accessible and cost-effective diagnostics across multiple medical specialties.

Third Place: RV College of Engineering won third place for their project, "An Intelligent Risk-Adaptive Governance Framework and Security Gateway for Secure LLM Interactions," which introduces a multi-layered security gateway that uses AI and post-quantum cryptography to protect sensitive data, enabling safer and more responsible enterprise use of large language models.

"The pace of innovation today demands talent that can move from idea to impact quickly," said Chris Arrasmith, chief operating officer of Unisys. "Through UIP, students are not only experimenting with new technologies — they are also applying them in ways that reflect where business operations are headed and the skills the future workforce will require for success."

A panel of judges selected the winning teams based on feasibility, creativity, technical excellence, and potential impact. The final round of judging occurred at the program's closing ceremony, where the finalists presented their projects. In attendance at the event were influential voices from leading analyst firms, higher education institutions and the technology industry, providing students with valuable exposure to diverse perspectives and real-world expertise.

"UIP is not just a competition — it's about creating a platform where students can build confidence, collaborate and translate their ideas into solutions with real-world relevance," said Lalithanand Moses, vice president and managing director of Unisys in India. "Our mission is to foster an environment that encourages innovation and the sharpening of technical capabilities. Over the years, we've seen how this experience helps shape not only skilled technologists, but also problem-solvers who can take innovation beyond the classroom and deliver meaningful impact."

Learn more about the Unisys Innovation Program and this year's winners.

About the Unisys Innovation Program (UIP)

Established in 2009, the Unisys Innovation Program (UIP) enables engineering students to develop career-ready technical and soft skills by applying theoretical knowledge of the latest technologies to solve real-world problems through a month-long competition. The contest is open to all engineering students in computer science, information technology and other related streams in India. It brings together stakeholders from across the tech innovation fields to provide students with rich experiential learning.

About Unisys 

Unisys is a global technology solutions company that powers breakthroughs for the world's leading organizations. Our solutions – cloud, AI, digital workplace, applications and enterprise computing – help our clients challenge the status quo and unlock their full potential. To learn how we have been helping clients push what's possible for more than 150 years, visit unisys.com and follow us on LinkedIn.

RELEASE NO.: 0709/10059

Unisys and other Unisys products and services mentioned herein, as well as their respective logos, are trademarks or registered trademarks of Unisys Corporation. Any other brand or product referenced herein is acknowledged to be a trademark or registered trademark of its respective holder.

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SOURCE Unisys Corporation

FAQ

What is the Unisys Innovation Program (UIP) and who can participate?

The Unisys Innovation Program is a competition for engineering students in India focused on technology-centric real-world solutions. According to Unisys, it bridges academic learning and hands-on experience by connecting young engineers with industry experts across multiple innovation themes each year.

Who won the 2026 Unisys Innovation Program competition and what was their project?

The 2026 Unisys Innovation Program first place went to RV College of Engineering for “Cross-Paradigm Compression for Efficient AI.” According to Unisys, their framework combines spiking neural networks and structured pruning to reduce deep learning compute needs while maintaining model accuracy for edge and enterprise AI deployments.

What project won second place in the 2026 Unisys (NYSE: UIS) Innovation Program?

Second place in the 2026 UIP went to MS Ramaiah Institute of Technology for “ResoScan.” According to Unisys, ResoScan is a portable, radiation-free diagnostic system that analyzes tissue vibrations to detect changes in characteristics, aiming to make medical diagnostics more accessible and cost-effective across specialties.

How does the third-place project in the 2026 Unisys Innovation Program improve AI security?

The third-place project from RV College of Engineering created an intelligent risk-adaptive governance framework and security gateway. According to Unisys, it uses AI and post-quantum cryptography in a multi-layered gateway to protect sensitive data and support safer enterprise use of large language models.

How many students participated in the 2026 Unisys Innovation Program competition in India?

The 2026 Unisys Innovation Program attracted more than 27,000 registrants and 4,487 project submissions. According to Unisys, participants worked across six themes, showcasing student interest in areas like AI efficiency, medical diagnostics innovation and secure enterprise AI, while gaining exposure to industry experts and analysts.