Company patents
ALIBABA DAMO (HANGZHOU) TECHNOLOGY CO., LTD.
ALIBABA DAMO (HANGZHOU) TECHNOLOGY CO., LTD. shows a surprising shift in its patent strategy, moving away from the rapid growth seen in Machine Learning & AI (which experienced a +266.7% YoY increase in 2024 but declined by -63.6% in 2025 and -75.0% so far in 2026) and Pictorial / Video Communications (which saw a -33.3% decline in 2025 and -100.0% so far in 2026), despite these categories still representing 32.8% and 17.2% of its total portfolio, respectively.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
58 US filings (since 2023) · 12 categories · 18 themes
Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.
Methods and apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.
Methods and systems for improving the quality of video streams, generating intermediate frames, or continuously locating and following objects within a sequence of images, even under occlusion.
Devices leveraging superconductivity or quantum phenomena for applications such as quantum computing, high-efficiency power transmission, or sensitive detection, including materials like graphene Josephson junctions and quantum bits.
Novel hardware designs and processing pipelines tailored for specific computational tasks, such as graphics rendering, neural network operations, or matrix transformations, often involving custom circuits, memory arrays, or data flow mechanisms.
Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.
Techniques for enhancing, encoding, decoding, or separating speech and audio signals, often involving multi-microphone arrays, acoustic echo cancellation, beamforming, or advanced audio compression for improved clarity and quality.
AI systems designed to engage in natural language dialogue, maintain conversation state, understand user intent, and generate relevant responses, often across multiple communication channels or modalities.
Methods and systems for identifying synthetic or manipulated speech (deepfake audio) using forensic analysis of audio features, such as breath patterns, vocoder signatures, or machine learning models to determine authenticity.
Systems that use user data, preferences, and machine learning to generate tailored advice, product recommendations, goal-setting plans, or contextual information for individuals across different domains.
Development of memory cells utilizing resistive switching or phase-change materials, including novel material compositions, multi-layered structures, and integration with selector devices like bipolar junction transistors, to achieve non-volatile storage.
Development of encoding and decoding algorithms and apparatuses for robust data transmission and storage, focusing on techniques like LDPC, polar codes, and iterative decoding methods to minimize bit errors and improve communication reliability.
Methods and systems for efficiently allocating computing resources, balancing workloads, and managing power states to improve performance, reduce energy consumption, or enhance reliability in computing platforms.
Automated methods and tools for generating, optimizing, and verifying the physical layout and interconnections of electronic components, including integrated circuits, printed circuit boards, and system-level interface protection.
Hardware and control techniques for optimizing memory access latency, ensuring data integrity, and managing storage resources efficiently. This includes error correction, read/write voltage control, and intelligent data placement or in-memory computation.
Methods for training machine learning models across multiple decentralized devices or servers while keeping data localized, often involving aggregation of model parameters and secure communication.
Systems that combine data from multiple camera sensors or capture multiple images from different perspectives or qualities, often involving image processing techniques like synthesis to create enhanced or comprehensive views.
Applications of speech processing and artificial intelligence for medical diagnosis, therapeutic interventions, or accessibility solutions, particularly for conditions affecting speech production or hearing.
Patents
Showing 1-10 of 58