This review asks whether graphene-based nanosensors could enhance energy efficiency in AI by integrating memory and ...

Bioprocess developers have long known that the cell culture suite is where therapeutic proteins earn—or lose—their quality. Subtle shifts in raw materials, cell line genetics, or control ranges can ...

Abstract: The importance of Graph Neural Networks (GNNs) has increased over the years due to their ability to handle non-Euclidean data. Most of the existing research mainly focuses on spatial ...

SHENZHEN, China, Jan. 5, 2026 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology ...

We present the Symptom Cascade Analyzer (SCA), a natural language processing framework for culturally-adaptive medical diagnosis that integrates graph-theoretic symptom modeling, multilingual ...

VipIR, a 3-in-1 handheld analyzer from 908 Devices Inc., sets a new benchmark for quick and reliable field-based chemical identification of unknown bulk solids and liquids, including dangerous ...

We introduce MoltiTox, a novel multimodal fusion model for molecular toxicity prediction, designed to overcome the limitations of single-modality approaches in drug discovery. MoltiTox integrates four ...

A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover new metallic glasses (MG). By combining element embeddings learned from ...

Abstract: We present a multiscale spectral image segmentation algorithm. In contrast to most multiscale image processing, this algorithm works on multiple scales of the image in parallel, without ...

Google’s Gary Illyes answered questions during the recent Search Central Live Deep Dive in Asia about whether or not they use the new Multi‑Vector Retrieval via Fixed‑Dimensional Encodings (MUVERA) ...