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WiMi Studies Quantum Encoding Circuit Adaptation Optimization Architecture Based on Reinforcement Learning

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BEIJING, Sept. 17, 2026 /PRNewswire/ — WiMi Hologram Cloud Inc. (NASDAQ: WiMi) (“WiMi” or the “Company”), a leading global Hologram Augmented Reality (“AR”) Technology provider, leverages the interdisciplinary technology of quantum computing and machine learning to propose a specific problem encoding circuit generation scheme based on reinforcement learning technology, breaking the limitations of traditional heuristic design and providing an innovative technical path for improving the performance of QML models. This scheme takes task adaptability optimization as its core objective and utilizes the intelligent search capability of reinforcement learning algorithms to achieve automated and customized generation of encoding circuit architectures, which will solve the core problems of traditional design methods, such as poor adaptability, low search efficiency, and insufficient consideration of multiple objectives.

WiMi’s proposed technical solution has its core innovations concentrated on the deep integration of model-based reinforcement learning algorithms and hierarchical circuit structures, constructing a sample-efficient encoding circuit search framework. Unlike traditional reinforcement learning algorithms, this solution adopts a model-based reinforcement learning strategy. By constructing an environment model to predict the performance of encoding circuits, it eliminates the need to perform actual quantum hardware evaluations for every candidate circuit architecture, significantly reducing the number of necessary circuit evaluations during the search process, effectively lowering quantum resource consumption, and markedly improving search efficiency. This sample-efficient characteristic enables it to rapidly explore the optimal encoding circuit architecture adapted to specific tasks under limited quantum computing resource constraints.

The introduction of the hierarchical circuit structure further breaks through the performance bottlenecks of traditional search algorithms. It abandons the traditional algorithm’s blind search mode for complete circuit architectures by decomposing the encoding circuit into multiple levels of basic modules. Through hierarchical exploration and combinatorial optimization of each level of modules by the reinforcement learning agent, a complete encoding circuit adapted to specific tasks is gradually constructed. This hierarchical design approach effectively decomposes the originally huge circuit search space, substantially reducing the search dimensions, avoiding efficiency losses caused by redundant searches, and ensuring through module-level optimization that the final generated encoding circuit possesses better structural rationality and performance stability. Compared with traditional search algorithms, this hierarchical strategy achieves dual improvements in search efficiency and architecture optimization effectiveness, providing efficient and feasible technical support for the customized generation of encoding circuits.

WiMi’s researched technical solution possesses strong multi-objective optimization capabilities, enabling it to fully meet the diversified needs of different application scenarios and precisely match the core requirements of tasks. During the encoding circuit generation process, it can simultaneously consider multiple core objectives such as model performance, quantum resource consumption, and noise robustness. Through the design of a multi-objective reward function, the reinforcement learning agent achieves synergistic optimization of various objectives during the search process, avoiding performance imbalance issues caused by single-objective optimization. In the future, WiMi will continue to deeply explore the interdisciplinary field of quantum computing and machine learning technology. Relying on its own technological accumulation and innovation capabilities, it will continuously optimize the encoding circuit generation solution, lead the sustained development of QML technology, and contribute to the progress of the global quantum computing industry.

About WiMi Hologram Cloud

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) focuses on holographic cloud services, primarily concentrating on professional fields such as in-vehicle AR holographic HUD, 3D holographic pulse LiDAR, head-mounted light field holographic devices, holographic semiconductors, holographic cloud software, holographic car navigation, metaverse holographic AR/VR devices, and metaverse holographic cloud software. It covers multiple aspects of holographic AR technologies, including in-vehicle holographic AR technology, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR virtual advertising technology, holographic AR virtual entertainment technology, holographic ARSDK payment, interactive holographic virtual communication, metaverse holographic AR technology, and metaverse virtual cloud services. WiMi is a comprehensive holographic cloud technology solution provider. For more information, please visit http://ir.wimiar.com.

Translation Disclaimer

The original version of this announcement is the officially authorized and only legally binding version. If there are any inconsistencies or differences in meaning between the Chinese translation and the original version, the original version shall prevail. WiMi Hologram Cloud Inc. and related institutions and individuals make no guarantees regarding the translated version and assume no responsibility for any direct or indirect losses caused by translation inaccuracies.

 

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SOURCE WiMi Hologram Cloud Inc.

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H.I.G. Capital Signs Definitive Agreement to Sell General Datatech

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September 17, 2026

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SAN FRANCISCO, Sept. 17, 2026 /PRNewswire/ — H.I.G. Capital (“H.I.G.”), a leading global alternative investment firm with $75 billion of capital under management, is pleased to announce that one of its affiliates has signed a definitive agreement to sell its portfolio company, General Datatech (“GDT” or the “Company”), a leading global provider of IT solutions and services, to an affiliate of Softcat plc (LSE: SCT) (“Softcat”) for an enterprise value of $1.05 billion. The transaction is subject to customary closing conditions and is expected to close by the end of the first quarter of 2027.

Headquartered in Dallas, Texas, GDT is a leading global IT solutions provider delivering secure, enterprise-grade, AI-ready infrastructure and services to customers across a wide range of end markets. Founded in 1996, the Company takes a services and architecture led approach to delivering comprehensive solutions across its networking, hybrid cloud and data center, cybersecurity, and collaboration practices.

Since H.I.G.’s investment in GDT in 2021, the Company has undergone a significant transformation, strengthening its leadership team, refining its services and solutions capabilities, and establishing a global delivery platform by launching its Bangalore center of excellence. The Company also invested significantly in AI and cybersecurity capabilities, further positioning GDT as a differentiated technology partner to large and complex enterprise customers. During H.I.G.’s ownership, the Company has doubled EBITDA while expanding in high-growth sectors and increasing its mix of recurring gross profit.

Shawn O’Grady, Chair and Chief Executive Officer of GDT, commented, “H.I.G. has been an outstanding partner to GDT and has supported our team as we invested in our people, practices, and client and partner relationships. Together, we have diversified the business, brought tremendous value to our customers, and positioned GDT to capitalize on the significant opportunities created by continued enterprise IT modernization. We are proud of what we have accomplished and excited to begin our next chapter with Softcat.”

Aaron Tolson and Kevin Van Culin, Managing Directors at H.I.G., commented, “Shawn and the GDT management team have done a phenomenal job transforming the Company into a leading IT solutions provider. The strategic investments during our ownership into high-growth areas such as hybrid cloud, AI, and cybersecurity have driven exceptional growth. We look forward to following the team’s continued success.”

Guggenheim Securities, LLC and Moelis & Company LLC served as financial advisors, and Kirkland & Ellis LLP served as legal counsel to H.I.G. and GDT in connection with the transaction.

About General Datatech

GDT is a global IT solutions provider that delivers secure, enterprise-grade, AI-ready infrastructure and services to customers across a wide range of end markets. With a 30-year heritage and a people-first approach, GDT helps organizations modernize and scale their IT environments to support innovation, resilience, and growth. The Company provides services-led solutions across its networking, hybrid cloud and data center, cybersecurity, and collaboration practices. For more information, visit gdt.com.

About H.I.G. Capital

H.I.G. is a leading global alternative investment firm with $75 billion of capital under management.* Based in Miami, and with offices in Atlanta, Boston, Chicago, Los Angeles, New York, San Francisco, and Stamford in the United States, as well as international affiliate offices in Hamburg, London, Luxembourg, Madrid, Milan, Paris, Bogotá, Rio de Janeiro, Dubai, and Hong Kong, H.I.G. specializes in providing both debt and equity capital to middle market companies, utilizing a flexible and operationally focused/value-added approach:

H.I.G.’s equity funds invest in management buyouts, recapitalizations, and corporate carve-outs of both profitable as well as underperforming manufacturing and service businesses.H.I.G.’s debt funds invest in senior, unitranche, and junior debt financing to companies across the size spectrum, both on a primary (direct origination) basis, as well as in the secondary markets.H.I.G.’s real estate funds invest in value-added properties, which can benefit from improved asset management practices.H.I.G. Infrastructure focuses on making value-add and core plus investments in the infrastructure sector.

Since its founding in 1993, H.I.G. has invested in and managed more than 400 companies worldwide. The Firm’s current portfolio includes more than 100 companies with combined sales in excess of $53 billion. For more information, please refer to the H.I.G. website at hig.com.

*Based on total capital raised by H.I.G. Capital and its affiliates.

Contact:
Aaron Tolson
Managing Director
atolson@hig.com

Kevin Van Culin
Managing Director
kvanculin@hig.com

H.I.G. Capital
One Sansome Street
37th Floor
San Francisco, CA 94104
P: 415.439.5500
hig.com

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SOURCE H.I.G. Capital

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Accely Appoints Murali Kurra as Chief Revenue Officer for the Middle East

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September 17, 2026

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DUBAI, UAE, Sept. 17, 2026 /PRNewswire/ — Accely, a global SAP Gold Partner and enterprise transformation company, has appointed Murali Kurra as Chief Revenue Officer for the Middle East. He will lead sales across the region and own Accely’s revenue strategy, covering existing account growth, renewals and new market entry.

Murali has spent more than twenty years in enterprise applications and the SAP ecosystem, in senior sales and leadership roles at IBM, DXC Technology, Fujitsu, Bristlecone, Zensar Technologies and Edraky. He has led large, complex pursuits and built long-running customer relationships in life sciences, manufacturing, retail and distribution, construction and real estate, and public sector.

His appointment comes as organisations across the Gulf modernizing through AI-led digital transformation against fixed timelines set by national transformation agendas and regulatory mandates. Those programmes leave little room for partners who disappear after signature.

“Murali has sat across the table from enterprise buyers for two decades, and he knows what separates the deals that deliver from the ones that stall,” said Nilesh Shah, CEO, Accely Group. “The Middle East is a priority growth region for us and it needs that judgement in the sales leadership seat.”

“Customers in this region are not short of technology options. What they want is a partner who stays through the hard part of a programme, not just the sale,” said Murali Kurra, Chief Revenue Officer, Middle East, Accely. “Accely has the delivery depth to make that a credible promise. That is what I intend to build the regional business on.”

That depth includes Eerly, Accely’s own AI-driven product suite, and its Eerly Studio platform across Consultant, Insights, and Engagement.

Murali will work with Accely’s global leadership and regional delivery teams across SAP S/4HANA, SAP Business Technology Platform, SAP SuccessFactors, SAP Customer Experience, analytics, artificial intelligence, automation and SAP application services. The Middle East remains one of Accely’s core markets, served by regional teams with local delivery capability.

About Accely

Accely is a global SAP Gold Partner and CMMI Level 5 firm delivering autonomous enterprise transformation services. With 26+ years of expertise across 20+ offices in 17 countries, Accely delivers tailored SAP solutions spanning ERP, CRM, HXM, Analytics, BTP and AI. Named an ‘SAP Game Changer’, Accely supports sustainable growth through innovation and operational excellence.

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BAE Systems OneArc integrates commercial embedded training on Army combat vehicles during Force Development Innovation & Assessment (FDIA)

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September 17, 2026

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Embedded system allows soldiers to train on the same system they operate, at the point of need

ORLANDO, Fla., Sept. 17, 2026 /PRNewswire/ — BAE Systems (LON: BA) OneArc (OneArc™) has been awarded an Other Transaction Agreement contract by the U.S. Army to integrate its Embedded Collective Training (ECT) solution on a platoon of combat vehicles at Fort Hood, Texas, as part of the Army’s Force Development Innovation & Assessment (FDIA). The integration marks the first commercially available embedded trainer installed in a U.S. Army combat vehicle.

“Crews need the ability to train wherever the mission requires, without being tied to fixed simulator facilities,” said Sergeant First Class Patrick Muir, 1st Cavalry Division Standardization Master Gunner. “The ECT supports Army FDIA by providing a single, adaptable system that enables precision and collective training across geographically dispersed locations using organic platform controls and procedures. This gives commanders greater flexibility to build and sustain readiness while reducing the costs and infrastructure requirements traditionally associated with dedicated facilities.”

Throughout the FDIA event, U.S. Army crews will train on the full range of precision gunnery progression tasks in support of platform qualification. The initiative covers weapon systems, crew-level qualification and validation of embedded training on a fielded combat platform.

The deployment comes as the Army works to close a persistent gap between the introduction of new capability and combat readiness. Historically, embedded training has arrived years after a platform enters service, if delivered at all, forcing units to rely on live-fire ranges or standalone simulators that are costly, difficult to schedule and disconnected from the vehicle crew stations.

“By integrating a commercial embedded trainer directly on a combat platform already in the fight, the Army gains a repeatable model for pairing new equipment with training capability from day one, rather than treating training as a follow-on program years down the road,” said Rahul Thakkar, President, BAE Systems OneArc. “For a force under pressure to modernize on compressed timelines, the shift, from training as only a pre-deployment activity to training as a built-in capability, is central to what FDIA is designed to prove out.”

The ECT kits are designed to scale beyond individual crew training, supporting platoon-level collective training and distributed tactical maneuver in later phases. The approach also extends to other ground platforms, both crewed and uncrewed, giving the Army a common path to embedded training across the OneArc ecosystem of capabilities and partners.

The solution was designed to support the Army’s commercial-first approach to training capability, reducing the development phase that often slows deployment of new technologies and compressing the timeline from acquisition to training into months, not years.

For more information, please contact:

Amy Nwamkpa, BAE Systems
Mobile: 703-268-9621
amy.nwamkpa@baesystems.us 

www.baesystems.com/US
@BAESystemsInc

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SOURCE BAE Systems, Inc.

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