June 2026– date –
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Lightmatter Unveils 114Tbps Passage M1000 3D Photonic Interposer and 50Tbps Optical I/O Laser at InterConnect 2026, Joins NVIDIA NVLink Fusion Ecosystem
Lightmatter USA Overview At its InterConnect 2026 keynote, Lightmatter revealed a new category of lasers capable of delivering 50 Tbps of optical I/O and the Passage M1000 3D Photonic Interposer, offering 114 Tbps I/O, to enable a photon... -
Pandaily: Co-Packaged Optics (CPO) as the “Ultimate Goal” for Next-Gen AI Data Centers, Predicting Explosive NPO Adoption in 2026-27
Pandaily China Overview Pandaily reports that Co-Packaged Optics (CPO) is the core solution for next-generation AI data centers, addressing GPU communication bottlenecks. The article outlines a three-stage roadmap for optoelectronic inte... -
Vitex LLC Releases Comprehensive Technical Guide on Co-Packaged Optics (CPO) in 2026, Detailing Functionality and AI Data Center Applications
Vitex LLC USA Overview This article is an overview of a market research report published by Vitex LLC. Vitex LLC has released a comprehensive technical guide on Co-Packaged Optics (CPO) in 2026. The guide outlines CPO's transition from r... -
Wiwynn and Partners to Demo CPO Interconnect for Hyperscale AI Data Centers at Computex 2026, Accelerating Optical Scaling
PR Newswire USA Overview Wiwynn, in collaboration with ecosystem partners including Ayar Labs and GUC, will showcase co-packaged optics (CPO) interconnect innovations at Computex 2026. This demonstration aims to accelerate optical scalin... -
Optica Online to Host Industry Meeting in June 2026: Advanced Photonic Packaging for AI, Datacom, and Quantum Technologies
Optica Online USA Overview Optica Online will convene an industry meeting in June 2026 focusing on advanced photonic packaging to accelerate the transition of photonic systems from prototype to high-volume manufacturing for AI infrastruc... -
bioRxiv: ORIGAMI, an Orientation-Aware GNN, Developed for Assessing Multimeric Interfaces of Protein Complex Structures
bioRxiv Unknown Overview A study published on bioRxiv introduces "ORIGAMI," an orientation-aware graph neural network (GNN) for evaluating multimeric interfaces of protein complex structures. ORIGAMI innovatively utilizes both scalar and... -
MDPI: ML-Based Structure-Property Relationship Modeling Boosts Polymer Property Prediction Accuracy
MDPI Switzerland Overview Research published in MDPI proposes a comprehensive machine learning (ML)-based framework for predicting polymer physical properties and identifying structure-property relationships (SPR), improving prediction a... -
arXiv: PolyGraphPy Unifies Atomistic Simulation and ML-Driven Polymer Design in a Python Framework
arXiv Unknown Overview A new paper on arXiv introduces "PolyGraphPy," a unified Python framework for atomistic simulation and machine learning (ML)-driven polymer design. This open-source framework seamlessly integrates atomistic simulat... -
Topsoe Declares AI the “Fifth Paradigm” in Materials Science, Poised to Revolutionize Catalysis, Electrolysis, and Battery Design
Topsoe デンマーク Overview Topsoe, a global leader in catalyst technology, has announced that AI is emerging as the "fifth paradigm" in materials science, fundamentally transforming material discovery and design. Their AI systems combine... -
AI Inverse-Designs “Super-Material” Stronger Than Steel and Lighter Than Foam
Medium - Dark Energy Articles USA Overview Artificial intelligence has reportedly developed a revolutionary carbon-based nanolattice "super-material" that is stronger than steel yet significantly lighter than foam. This achievement demon...
