Machine Learning Engineer

SKC's subsidiary Absolics has decided to raise approximately 400 billion won through a rights issue to fund glass substrate commercialisation. This marks the first deployment of funds from SKC's 1.17 trillion won capital raise in May, of which 589.6 billion won was earmarked for Absolics. The funding will support customer evaluations, production process improvements, and equipment upgrades at the first-phase factory currently producing prototypes. SKC holds 70.05% of Absolics, with Applied Materials owning 29.95%. The final investment amount will be determined based on each shareholder's participation. Absolics is pursuing both embedding and non-embedding glass substrate products. Embedding samples from its Georgia facility have completed preliminary evaluations and entered reliability testing. Non-embedding products are being submitted for supplier selection processes in the second half of 2025.

AI disrupts Glass Fiber manufacturing: predictive maintenance, digital twins, and a $6 billion infrastructure deal signal a new industrial era. "Predictive maintenance, digital twins and AI-enabled process optimization are reshaping glass fiber manufacturing as major infrastructure investment expands." Boston, Aug. 21, 2026 (GLOBE NEWSWIRE) - Artificial intelligence is reshaping one of manufacturing's most energy-intensive and capital-demanding sectors. AI Impact on Glass Fiber Market - BCC Pulse Report, published by BCC Research, examines how AI-powered technologies are transforming glass fiber production across predictive maintenance, process optimization, quality control, and supply chain management - as landmark investment deals and strategic R&D partnerships signal accelerating industry-wide adoption. Key Findings - Investment momentum is building rapidly. In March 2026, Corning and Meta entered a multiyear agreement valued at up to $6 billion to accelerate U.S. AI data center infrastructure, supporting advanced glass solutions for high-speed connectivity - underscoring glass fiber's strategic role in the AI computing ecosystem. - North America and Asia-Pacific are leading AI adoption. North America has emerged as a frontrunner in deploying predictive, data-driven manufacturing systems across the glass fiber and insulation value chain. Asia-Pacific is experiencing the fastest growth in AI integration, driven by large-scale production capacity, rapid industrialization, and surging demand from construction, wind energy, and electronics sectors. - Predictive maintenance and reliability-as-a-service are redefining operational models. Owens Corning has transitioned toward a reliability-as-a-service framework powered by AI, achieving measurable improvements in equipment reliability and reductions in unplanned downtime - a critical advance in continuous production environments reliant on high-capital assets including furnaces, bushings, and fiberizing equipment. - Generative AI and digital twins are unlocking process-level optimization. Saint-Gobain has applied generative AI to optimize production parameters and advance sustainable manufacturing across glass fiber and insulation lines. Digital twin technology - replicating furnaces, fiberizing units, and curing systems using real-time data inputs - is enabling manufacturers to simulate, test, and refine production processes without disrupting live operations. - Emerging technologies are converging across the value chain. Advanced computer vision, IIoT-integrated sensor analytics, AI-enabled furnace condition monitoring, and AI-driven supply chain forecasting tools are being deployed in parallel, creating increasingly autonomous and adaptive manufacturing environments. - Key players driving transformation include Owens Corning, Saint-Gobain, Johns Manville, Knauf Insulation, China Jushi Co., Ltd., Taishan Fiberglass Inc., Nippon Electric Glass, Corning Incorporated, SABIC, Glass Futures, NVIDIA, Applied Materials, Rescale, Lumotive, Blaize, and Machina Labs. Strategic Implications The structural case for AI adoption in glass fiber manufacturing is compelling and multi-layered. Glass fiber production is inherently sensitive to variations in temperature, raw material composition, and equipment performance - conditions that make AI-driven process control not merely advantageous but operationally necessary. Energy consumption in furnace operations is both a cost imperative and a regulatory liability, with mounting carbon reduction commitments accelerating demand for AI-enabled fuel optimization. The convergence of Industry 4.0 infrastructure, government-backed smart manufacturing initiatives - particularly across Asia-Pacific - and growing end-market demand from wind energy, construction, transportation, and industrial composites is compressing the timeline for widespread AI integration. Recent funding activity reinforces this trajectory. Rescale secured $115 million from Applied Materials and NVIDIA to expand its AI-enabled engineering simulation platform. Lumotive closed a $45 million Series B to advance programmable optical semiconductors for AI data centers. Machina Labs raised $32 million to scale AI-driven manufacturing for advanced composite components. Nippon Electric Glass pursued strategic R&D in large glass substrates targeting AI chip applications - a signal that glass material innovation and semiconductor demand are increasingly intertwined. Investment Considerations For investors, the glass fiber sector's AI transformation presents exposure to a high-volume industrial market undergoing a structural productivity shift, with upside driven by cost reduction, yield improvement, and new product development aligned with AI infrastructure build-out. The Corning-Meta agreement alone illustrates how glass fiber suppliers are becoming embedded in AI supply chains well beyond traditional end markets. Near-term risks include uneven digital infrastructure across emerging regions - particularly South America, the Middle East, and Africa - as well as integration complexity and the challenge of extracting actionable insight from large-scale sensor data environments. Companies with established digital infrastructure, Industry 4.0 frameworks, and proven AI deployment - including Owens Corning, Saint-Gobain, and Corning Incorporated - appear best positioned to capture near-term operational advantages and long-term competitive differentiation. About the Report AI Impact on Glass Fiber Market - BCC Pulse Report (AIT200A) provides a qualitative analysis of AI adoption across the glass fiber manufacturing value chain, examining key investment activity, emerging technologies, strategic partnerships, leading market participants, and adoption trends by region and application segment. About BCC Research BCC Research provides objective, unbiased measurement and assessment of market opportunities with detailed market research reports. Its experienced industry analysts assess growth trends, identify and evaluate new and changing market opportunities, and provide critical information and innovative decision support tools to help inform the strategic decision-making process. For media inquiries, email [email protected] or visit its media page for access to its market research library. Any data and analysis extracted from this press release must be accompanied by a statement identifying BCC Research LLC as the source and publisher. BCC Research LLC 50 Milk St., Ste. 16, Boston, MA 02109 [email protected] | +1 781-489-7301 www.bccresearch.com Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. Military Industry Today do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. 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