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ATGL Partners with HKUST to Launch AlphaMind Lab

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ATGL has partnered with Hong Kong University of Science and Technology (HKUST) to launch AlphaMind Lab, focusing on developing the Alpha Engine technology. The collaboration aims to revolutionize AI development by reducing the time required to develop dedicated AI models from 6-9 months to just 3 days or 3 hours.

The initiative addresses key challenges in AI development, particularly for SMEs, by utilizing a 'training AI with AI' autonomous learning architecture to minimize data collection and annotation costs. Since 2017, ATGL has specialized in customized large language model applications, serving government departments and enterprises.

The partnership combines HKUST's expertise in machine learning and algorithm optimization with ATGL's industrial experience. ATGL plans to establish a fund supporting AI research partnerships with local universities and colleges, including initiatives to enhance AI adoption in Hong Kong's education sector.

ATGL ha collaborato con l'Università di Scienza e Tecnologia di Hong Kong (HKUST) per lanciare l'AlphaMind Lab, focalizzandosi sullo sviluppo della tecnologia Alpha Engine. La collaborazione mira a rivoluzionare lo sviluppo dell'IA riducendo il tempo necessario per sviluppare modelli di IA dedicati da 6-9 mesi a soli 3 giorni o 3 ore.

L'iniziativa affronta le sfide chiave nello sviluppo dell'IA, in particolare per le PMI, utilizzando un'architettura di apprendimento autonomo 'allenare l'IA con l'IA' per minimizzare i costi di raccolta e annotazione dei dati. Dal 2017, ATGL si è specializzata in applicazioni personalizzate di modelli linguistici di grandi dimensioni, servendo dipartimenti governativi e imprese.

La partnership combina l'expertise di HKUST nell'apprendimento automatico e nell'ottimizzazione degli algoritmi con l'esperienza industriale di ATGL. ATGL prevede di istituire un fondo a sostegno delle collaborazioni di ricerca sull'IA con università e college locali, inclusi iniziative per migliorare l'adozione dell'IA nel settore educativo di Hong Kong.

ATGL se ha asociado con la Universidad de Ciencia y Tecnología de Hong Kong (HKUST) para lanzar el AlphaMind Lab, centrado en el desarrollo de la tecnología Alpha Engine. La colaboración tiene como objetivo revolucionar el desarrollo de IA al reducir el tiempo necesario para desarrollar modelos de IA dedicados de 6-9 meses a solo 3 días o 3 horas.

La iniciativa aborda desafíos clave en el desarrollo de IA, particularmente para las pymes, utilizando una arquitectura de aprendizaje autónomo 'entrenar IA con IA' para minimizar los costos de recolección y anotación de datos. Desde 2017, ATGL se ha especializado en aplicaciones personalizadas de modelos de lenguaje de gran tamaño, sirviendo a departamentos gubernamentales y empresas.

La asociación combina la experiencia de HKUST en aprendizaje automático y optimización de algoritmos con la experiencia industrial de ATGL. ATGL planea establecer un fondo que apoye asociaciones de investigación en IA con universidades y colegios locales, incluidas iniciativas para mejorar la adopción de IA en el sector educativo de Hong Kong.

ATGL은 홍콩 과기대학(HKUST)과 협력하여 AlphaMind Lab을 출범시키고 Alpha Engine 기술 개발에 집중하고 있습니다. 이번 협력은 AI 모델 개발에 필요한 시간을 6-9개월에서 단 3일 또는 3시간으로 줄여 AI 개발을 혁신하는 것을 목표로 하고 있습니다.

이 이니셔티브는 데이터 수집 및 주석 비용을 최소화하기 위해 'AI로 AI 훈련하기'라는 자율 학습 아키텍처를 활용하여 중소기업(SME)의 AI 개발의 주요 과제를 해결합니다. 2017년 이후로 ATGL은 맞춤형 대형 언어 모델 애플리케이션을 전문으로 하여 정부 부처와 기업에 서비스를 제공하고 있습니다.

이 파트너십은 HKUST의 기계 학습 및 알고리즘 최적화 전문 지식과 ATGL의 산업 경험을 결합합니다. ATGL은 홍콩의 교육 분야에서 AI 채택을 향상시키기 위한 이니셔티브를 포함하여 지역 대학 및 단과대학과의 AI 연구 파트너십을 지원하는 기금을 설립할 계획입니다.

ATGL s'est associé à l'Université des Sciences et Technologies de Hong Kong (HKUST) pour lancer l'AlphaMind Lab, axé sur le développement de la technologie Alpha Engine. Cette collaboration vise à révolutionner le développement de l'IA en réduisant le temps nécessaire pour développer des modèles d'IA dédiés de 6-9 mois à seulement 3 jours ou 3 heures.

L'initiative répond à des défis clés dans le développement de l'IA, en particulier pour les PME, en utilisant une architecture d'apprentissage autonome 'former l'IA avec l'IA' pour minimiser les coûts de collecte et d'annotation des données. Depuis 2017, ATGL s'est spécialisée dans les applications personnalisées de modèles de langage de grande taille, servant des départements gouvernementaux et des entreprises.

Le partenariat combine l'expertise de HKUST en apprentissage automatique et en optimisation d'algorithmes avec l'expérience industrielle d'ATGL. ATGL prévoit de créer un fonds pour soutenir des partenariats de recherche en IA avec des universités et des collèges locaux, y compris des initiatives pour améliorer l'adoption de l'IA dans le secteur éducatif de Hong Kong.

ATGL hat sich mit der Hong Kong University of Science and Technology (HKUST) zusammengetan, um das AlphaMind Lab zu gründen, das sich auf die Entwicklung der Alpha Engine Technologie konzentriert. Die Zusammenarbeit zielt darauf ab, die Entwicklung von KI zu revolutionieren, indem die Zeit für die Entwicklung spezialisierter KI-Modelle von 6-9 Monaten auf nur 3 Tage oder 3 Stunden verkürzt wird.

Die Initiative geht auf wichtige Herausforderungen in der KI-Entwicklung ein, insbesondere für KMUs, indem sie eine autonome Lernarchitektur 'KI mit KI trainieren' nutzt, um die Kosten für Datensammlung und -annotation zu minimieren. Seit 2017 hat sich ATGL auf maßgeschneiderte Anwendungen großer Sprachmodelle spezialisiert und bedient Regierungsbehörden und Unternehmen.

Die Partnerschaft kombiniert die Expertise von HKUST in maschinellem Lernen und Algorithmusoptimierung mit der industriellen Erfahrung von ATGL. ATGL plant die Einrichtung eines Fonds zur Unterstützung von KI-Forschungspartnerschaften mit lokalen Universitäten und Hochschulen, einschließlich Initiativen zur Verbesserung der KI-Nutzung im Bildungsbereich von Hongkong.

Positive
  • Development of innovative Alpha Engine technology could significantly reduce AI model development time and costs
  • Strong competitive position in government and enterprise contracts against international tech giants
  • Establishment of new fund for educational partnerships and AI research
  • Strategic partnership with prestigious HKUST combining academic expertise with industrial experience
Negative
  • Current inability to serve SME market due to existing technology limitations
  • Heavy dependence on successful development of Alpha Engine for future growth

Insights

ATGL's partnership with HKUST represents a strategic positioning in the competitive AI development landscape. The focus on creating an Alpha Engine that reduces AI model development from months to potentially hours addresses a critical bottleneck in the industry – the data and computing power threshold that prevents SMEs from adopting custom AI solutions.

The technology's core innovation lies in its "training AI with AI" autonomous learning architecture, which could fundamentally alter the economics of AI implementation. By potentially compressing development cycles by over 100 times, ATGL is targeting a significant untapped market of SMEs currently priced out of custom AI solutions.

What makes this partnership particularly valuable is the complementary expertise: HKUST brings theoretical research in enhanced and unsupervised learning while ATGL contributes industry data and engineering capabilities. This collaboration model has proven effective in accelerating commercialization timelines for complex technologies.

The company's ambition to become the "NVIDIA of AI applications" reveals their strategic intent to develop proprietary technology that could become an industry standard. However, investors should note that the announcement contains no timelines for commercial availability or expected revenue impact from this initiative.

This partnership signifies ATGL's commitment to developing intellectual property that could establish long-term competitive advantages in the AI implementation space. The company is smartly addressing a market gap between enterprise-scale AI deployments and the underserved SME segment where data limitations present significant barriers to entry.

The potential value creation from this initiative comes from three sources: expanded market reach into previously untapped SME segments, potential licensing opportunities if the Alpha Engine proves successful, and enhanced competitive positioning against larger technology providers. The announcement that ATGL has already outperformed international technology giants in certain bids suggests early validation of their technical approach.

From a financial perspective, the establishment of a dedicated fund for university partnerships signals ongoing R&D commitment, though no specific investment figures were disclosed. This indicates a multi-year technology development roadmap that could yield competitive advantages but requires patient capital.

The target of compressing AI development cycles from 6-9 months to just 3 days would represent a step-change in cost structure for AI implementation projects, potentially creating new business models built around faster deployment and iteration cycles. While the announcement lacks specific financial projections, the strategic direction aligns with high-growth areas in the AI implementation market.

HONG KONG, CHINA / ACCESS Newswire / March 27, 2025 / Signing Ceremony: Industry - university collaboration promotes AI underlying technology innovation

The signing ceremony was co-hosted by Professor Yang WANG, Vice-President for Institutional Advancement of HKUST, and Mr. Anthony TSANG, Executive Director and President of ATGL. The HKUST delegation included Associate Professor Can YANG from the Department of Mathematics, Assistant Professor Yangqiu SONG from the Department of Computer Science and Engineering, and Manager Jacqui SHI from the Development and Alumni Office. ATGL's senior management was represented by CEO Sean Leung, CFO Larry CHOI, CCO Jerry Tsang and Vice President Lucas TSANG.

In his speech, Professor Wang emphasized, "The technical concept of Alpha Engine directly addresses the pain points in AI development-data and computing power thresholds. HKUST's research expertise in machine learning and algorithm optimization will complement ATGL's industrial experience, accelerating the transition of technology from the lab to the market."

Alpha Engine: Empowering SMEs to Overcome Data Limitations

According to the institute, the primary goal of the Alpha Engine is to drastically reduce the time and cost associated with high-quality data collection and manual annotation by utilizing the "training AI with AI" autonomous learning architecture. This innovation aims to compress the time required to develop a dedicated AI model from the traditional 6-9monthsto just3daysoreven3hours.

Anthony pointed out, "The current AI ecosystem relies on three pillars-GPU computing power, high-quality data and models, and engines. Small and medium-sized enterprises struggle to compete with larger firms due to limited data resources. If Alpha Engine is successfully developed, it will redefine the landscape, making AI development in dependent of data scale."

Since2017,ATGLhasbeendedicatedtothecustomizedapplicationoflarge language models (LLM), serving various government departments and leading enterprises. Anthony highlighted that the company has outperformed international technology giants in bids due to its technical accuracy, early data accumulation, and cost advantages. However, the AI transformation needs of SMEs remain unmet.

The breakthrough of Alpha Engine aims to turn customized AI from a "luxury" in to a" necessity." The company is determined to become the "NVIDIA" of AI applications and bring transformative changes to the global AI ecosystem, aiming to empower all companies to utilize their own exclusive AI.

Reporter Q&A: Vision and Industry Impact

Anthony Tsang explained why his company chose to collaborate with HKUST. He replied, "HKUST's ground-breaking work in enhanced learning and unsupervised learning offers a robust theoretical basis for designing Alpha Engine's algorithms. ATGL's industry data and engineering expertise enable ustoconverttheseacademicadvancementsintopracticalapplications."In addition, Larry Choi, ATGL's CFO, remarked, "ATGL intends to create a fund to maintain our partnerships with local universities and colleges in AI research. This initiative will also support Hong Kong's primary and secondary school teachers by funding skill development in using AI for administrative and education Al purposes, thus hastening the growth of AI in Hong Kong's education sector."

Regarding the anticipated impact of the technology, Professor Can Yang added,"IfAlphaEnginemeetsitstargets,theefficiencyofAIdevelopment could increase by more than 100 times. Data-sensitive industries, such as health care and manufacturing, will be able to deploy models quickly while bypassing privacy barriers, enabling SMEs with limited resources to optimize operations through cost-effective customized AI."

SOURCE: Alpha Technology Group Ltd



View the original press release on ACCESS Newswire

FAQ

What is the main goal of ATGL's Alpha Engine technology?

Alpha Engine aims to reduce AI model development time from 6-9 months to 3 days or 3 hours by minimizing data collection and annotation costs through 'training AI with AI' architecture.

How will the ATGL-HKUST partnership benefit small and medium enterprises?

The partnership will make AI development independent of data scale, enabling SMEs with resources to deploy customized AI models cost-effectively.

What is ATGL's track record in AI technology implementation?

Since 2017, ATGL has specialized in customized LLM applications, successfully competing with international tech giants in serving government departments and leading enterprises.

What potential efficiency improvement does ATGL's Alpha Engine promise?

According to Professor Can Yang, Alpha Engine could increase AI development efficiency by more than 100 times, particularly benefiting data-sensitive industries like healthcare and manufacturing.

What educational initiatives is ATGL planning in Hong Kong?

ATGL plans to create a fund supporting AI research partnerships with local universities and funding skill development for primary and secondary school teachers in AI-based administration and education.
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