issued
on 30 Jan 2024
Last Applicant/ Owned by
195 Page Mill Rd., Suite 113
Palo Alto
CA
94306
Serial Number
98103604 filed on 26th Jul 2023
Registration Number
N/A
Correspondent Address
CONNIE L. ELLERBACH, ESQ.
Filing Basis
1. intent to use
2. intent to use current
Disclaimer
"QC"
Providing online non-downloadable software using orthogonal and compound neural networks, quantum determinantal point processes, geometric deep learning, subspace learning, topological analysis, and manifold optimization machine learning methods for predictive analytics, image classification, medical diagnosis, clinical trial prediction, price analysis, fraud detection and risk assessment; providiRead More
Providing online non-downloadable software using orthogonal and compound neural networks, quantum determinantal point processes, geometric deep learning, subspace learning, topological analysis, and manifold optimization machine learning methods for predictive analytics, image classification, medical diagnosis, clinical trial prediction, price analysis, fraud detection and risk assessment; providing online non-downloadable software for the analysis, prediction, modeling, simulation, identification, development and discovery of chemicals, catalysts, materials, molecules, molecular structures, pesticides, polymers, light-emitting diodes, photoactive materials, battery materials, petroleum products, drugs, medicines, and pharmaceuticals in fields of molecular biology, chemistry, medicine, pharmacology, physics, quantum mechanics, biotechnology, biochemistry, electrochemistry, chemical engineering, bioengineering, materials engineering, genetic engineering, catalysis, and materials science; software as a service (SaaS) services featuring software used for machine learning; software as a services (SaaS) services featuring software using orthogonal and compound neural networks, quantum determinantal point processes, geometric deep learning, subspace learning, topological analysis, and manifold optimization machine learning methods for predictive analytics, image classification, medical diagnosis, clinical trial prediction, price analysis, fraud detection and risk assessment; software as a service (SaaS) services featuring software used for the analysis, prediction, modeling, simulation, identification, development and discovery of chemicals, catalysts, materials, molecules, molecular structures, pesticides, polymers, light-emitting diodes, photoactive materials, battery materials, petroleum products, drugs, medicines, and pharmaceuticals in fields of molecular biology, chemistry, medicine, pharmacology, physics, quantum mechanics, biotechnology, biochemistry, electrochemistry, chemical engineering, bioengineering, materials engineering, genetic engineering, catalysis, and materials science; platform as a service (PaaS) featuring software platforms used for machine learning; platform as a service (PaaS) featuring software platforms using orthogonal and compound neural networks, quantum determinantal point processes, geometric deep learning, subspace learning, topological analysis, and manifold optimization machine learning methods for predictive analytics, image classification, medical diagnosis, clinical trial prediction, price analysis, fraud detection and risk assessment; platform as a service (PaaS) featuring software platforms used for the analysis, prediction, modeling, simulation, identification, development and discovery of chemicals, catalysts, materials, molecules, molecular structures, pesticides, polymers, light-emitting diodes, photoactive materials, battery materials, petroleum products, drugs, medicines, and pharmaceuticals in fields of molecular biology, chemistry, medicine, pharmacology, physics, quantum mechanics, biotechnology, biochemistry, electrochemistry, chemical engineering, bioengineering, materials engineering, genetic engineering, catalysis, and materials science; consulting services in the field of quantum computing, molecular biology, chemistry, medicinal research, pharmacology, physics, quantum mechanics, biotechnology, biochemistry, electrochemistry, chemical engineering, bioengineering, materials engineering, genetic engineering, catalysis, and materials science
Education services, namely, conducting conferences, classes, workshops, tutorials, and webinars, and providing a website featuring blogs, all the aforesaid in the fields of quantum computing, molecular biology, chemistry, medicine, pharmacology, physics, quantum mechanics, biotechnology, biochemistry, electrochemistry, chemical engineering, bioengineering, materials engineering, genetic engineering, catalysis, and materials science
Downloadable software used for machine learning; downloadable software using orthogonal and compound neural networks, quantum determinantal point processes, geometric deep learning, subspace learning, topological analysis, and manifold optimization machine learning methods for predictive analytics, image classification, medical diagnosis, clinical trial prediction, price analysis, fraud detection and risk assessment; downloadable software used for the analysis, prediction, modeling, simulation, identification, development and discovery of chemicals, catalysts, materials, molecules, molecular structures, pesticides, polymers, light-emitting diodes, photoactive materials, battery materials, petroleum products, drugs, medicines, and pharmaceuticals in fields of molecular biology, chemistry, medicine, pharmacology, physics, quantum mechanics, biotechnology, biochemistry, electrochemistry, chemical engineering, bioengineering, materials engineering, genetic engineering, catalysis, and materials science
No 98103604
No Service Mark
No 33660-00070
No
No
No
No
No
No
No
No
| Status Date | Action Taken |
|---|---|
| 30th Jan 2024 | NOA E-MAILED - SOU REQUIRED FROM APPLICANT |
| 05th Dec 2023 | PUBLISHED FOR OPPOSITION |
| 05th Dec 2023 | OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED |
| 15th Nov 2023 | NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED |
| 31st Oct 2023 | EXAMINERS AMENDMENT -WRITTEN |
| 31st Oct 2023 | EXAMINERS AMENDMENT E-MAILED |
| 31st Oct 2023 | NOTIFICATION OF EXAMINERS AMENDMENT E-MAILED |
| 31st Oct 2023 | EXAMINER'S AMENDMENT ENTERED |
| 31st Oct 2023 | APPROVED FOR PUB - PRINCIPAL REGISTER |
| 19th Oct 2023 | ASSIGNED TO EXAMINER |
