HBR ACCELERATOR
LIVE

Serial Number

99757256

Owner

TetraMem Inc.

Attorney

Hang Gao

Filing Date

Apr 10, 2026

Add to watchlist:

No watchlists yet
View on USPTO

HBR ACCELERATOR Trademark

Serial Number: 99757256

HBR ACCELERATOR is a trademark filed by TetraMem Inc. on April 10, 2026. The trademark is classified under Class 9 (Computers & Electronics), Class 42 (Computer & Scientific). The application is currently pending registration.

Owner Contact Info

TetraMem Inc. (31 trademarks)

5369 Ashbourne Ct
Newark, CA 94560

Entity Type: 03

Trademark Details

Filing Date

April 10, 2026

Registration Date

Not Registered

Goods & Services

integrated circuits and integrated circuit components; computer chips; semiconductor chips; in-memory computing circuits and chips; circuits and chips for implementing neural networks; memory devices; resistive random-access memory; recorded and downloadable artificial intelligence software and computer software platforms for programming, training and inferencing on artificial neural networks to perform pattern discovery, recognition, classification, segmentation, regression, decision support and visualization; recorded and downloadable software for implementing in-memory computing architectures; recorded and downloadable software for use in designing, programming, compiling, deploying and running microprocessors, graphics processing units, machine learning processors, memristor-based circuits, artificial neural networks, and integrated circuits; recorded and downloadable computer software for post-training quantization, conversion, and optimization of machine learning model formats

Product design and development in the fields of artificial intelligence, in-memory computing, memristors, resistive random-access memory (RRAM), crossbar architectures, and analog and mixed-signal computing; research in artificial intelligence; computer software development; design and development of computer software and hardware for microprocessors, neural network processors, machine learning processors, memristor-based circuits, resistive random-access memory (RRAM), crossbar arrays, artificial neural networks, integrated circuits, system-on-chip integrated circuits, and application-specific integrated circuits; design and development of software, compilers, runtimes, and software development kits (SDKs) for deep learning, neural processing, machine learning, in-memory computing, and analog computing architectures; providing temporary use of non-downloadable computer software for use in programming, training and inferencing on artificial neural networks to perform pattern discovery, recognition, classification, segmentation, regression, decision support and visualization; platform as a service (PaaS) and software as a service (SaaS) featuring software for use in designing, programming, compiling, deploying and running microprocessors, graphics processing units (GPUs), machine learning processors, memristor-based circuits, edge devices, in-memory computing architectures, artificial neural networks and integrated circuits, including post-training quantization, optimization, and conversion of machine learning model formats; providing temporary use of non-downloadable software for use in designing, programming, deploying and running microprocessors, graphics processing units (GPUs), machine learning processors, memristor-based circuits, edge devices, in-memory computing architectures, artificial neural networks and integrated circuits, including post-training quantization, optimization, and conversion of machine learning model formats

Filing History

APPLICATION FILING RECEIPT MAILED
Apr 10, 2026 MAFR
NEW APPLICATION ENTERED
Apr 10, 2026 NWAP