(TensorFlow OR PyTorch OR cuda OR opencv) AND ("machine learning" OR "AI")
Keywords
10-Q
2020 Q2
NVDA Nvidia Corp
15 Aug 19
Quarterly report
NVIDIA, the NVIDIA logo, CUDA, CUDA-X AI, GeForce, GeForce GTX, GeForce RTX, GeForce RTX SUPER, NVIDIA DGX, NVIDIA DGX SuperPOD, NVIDIA DRIVE, NVIDIA DRIVE … In our Data Center platform, we introduced the NVIDIA CUDA-X AI platform for accelerating data science; announced availability of NVIDIA T4 Tensor Core … We have extended our focus in recent years to the revolutionary field of AI. … energy-efficient, AI-enabled exascale supercomputers.
10-Q
2019 Q2
INOD Innodata, Inc.
8 Aug 19
Quarterly report
Our Technology and Infrastructure Our deep learning technologies are built on frameworks such as TensorFlow and Torch that layer algorithms to create … These tools use both machine learning-based visual data abstraction combined with traditional programmatic approaches. … We can deploy on-premises, as well, and our machine learning microservices can be consumed via API.
10-Q
2019 Q2
CRAY Cray, Inc.
2 Aug 19
Quarterly report
source libraries like Keras to enable the quick development of neural networks and commercial application; and Python and R, distributed Dask, BigDL, TensorFlow … , machine learning, and deep learning algorithms that utilize HPC technologies for performance and scale; technology innovations in memory and storage … In analytics and AI, we are developing and delivering high performance data discovery, advanced analytics, machine learning and deep learning solutions
424B4
MDLA Medallia, Inc.
19 Jul 19
Prospectus supplement with pricing info
Medallia Athena has four key elements: rapid development, deployment and continuous learning infrastructure, based on Docker, Kubernetes, Spark and TensorFlow … and machine learning to detect patterns, predict behavior, prescribe actions and identify risks and opportunities to optimize experiences; and by driving … We are also investing to enhance machine learning and other forms of artificial intelligence, as well as additional predictive analytics and optimization
F-1
CloudMinds Inc.
12 Jul 19
Registration statement (foreign)
For example, we incorporate applications such as Google Tensorflow for deep learning and automated speech recognition into our AI capabilities. … learning. … For example, in addition to the application of AI, our cloud keeps human supervision in the loop to augment training efficiency, and the machine learning
S-1/A
MDLA Medallia, Inc.
8 Jul 19
IPO registration (amended)
Medallia Athena has four key elements: rapid development, deployment and continuous learning infrastructure, based on Docker, Kubernetes, Spark and TensorFlow … and machine learning to detect patterns, predict behavior, prescribe actions and identify risks and opportunities to optimize experiences; and by driving … We are also investing to enhance machine learning and other forms of artificial intelligence, as well as additional predictive analytics and optimization
S-1/A
MDLA Medallia, Inc.
28 Jun 19
IPO registration (amended)
Medallia Athena has four key elements: rapid development, deployment and continuous learning infrastructure, based on Docker, Kubernetes, Spark and TensorFlow … and machine learning to detect patterns, predict behavior, prescribe actions and identify risks and opportunities to optimize experiences; and by driving … We are also investing to enhance machine learning and other forms of artificial intelligence, as well as additional predictive analytics and optimization
S-1
MDLA Medallia, Inc.
21 Jun 19
IPO registration
Medallia Athena has four key elements: rapid development, deployment and continuous learning infrastructure, based on Docker, Kubernetes, Spark and TensorFlow … and machine learning to detect patterns, predict behavior, prescribe actions and identify risks and opportunities to optimize experiences; and by driving … We are also investing to enhance machine learning and other forms of artificial intelligence, as well as additional predictive analytics and optimization
425
ESTC Elastic NV
7 Jun 19
Business combination disclosure
machine learning maybe as a company, we’re building the foundation to integrate with any type of machine learning implementation or product out there, from TensorFlow … A great example of that is our machine learning features and the ability to make even better decisions. … Our focus in machine learning then extends to trying to bring machine learning capabilities to the -- what I would say, the common people, and I definitely
DRS/A
MDLA Medallia, Inc.
7 Jun 19
Draft registration statement (amended)
Medallia Athena has four key elements: rapid development, deployment and continuous learning infrastructure, based on Docker, Kubernetes, Spark and TensorFlow … and machine learning to detect patterns, predict behavior, prescribe actions and identify risks and opportunities to optimize experiences; and by driving … We are also investing to enhance machine learning and other forms of artificial intelligence, as well as additional predictive analytics and optimization
10-Q
2020 Q1
NVDA Nvidia Corp
16 May 19
Quarterly report
NVIDIA, the NVIDIA logo, CUDA, CUDA-X AI, GeForce, GeForce GTX, NVIDIA DGX, NVIDIA DRIVE, NVIDIA DRIVE Constellation, NVIDIA GRID, NVIDIA Omniverse, NVIDIA … For our data center platform, we introduced the NVIDIA CUDA-X AI platform for accelerating data science; announced availability of NVIDIA T4 Tensor Core … We have extended our focus in recent years to the revolutionary field of AI. … Automotive revenue of $166 million was up 14% from a year earlier and up 2% sequentially, primarily reflecting growth in AI cockpit modules.
8-K
EX-99.1
NVDA Nvidia Corp
16 May 19
NVIDIA Announces Financial Results for First Quarter Fiscal 2020
Since the end of the fourth quarter of fiscal 2019, NVIDIA has achieved progress in these areas: Data Center Introduced the NVIDIA® CUDA-X AI™ platform … Partnered with top global system builders to create powerful data-science workstations integrating NVIDIA Quadro RTX™ GPUs and NVIDIA CUDA-X AI. … AI adoption is accelerating in the world’s largest industries, moving beyond the cloud to the edge where AI processing has to be instantaneous. … Teamed up with the American College of Radiology to use the NVIDIA Clara™ AI toolkit to enable its members across the U.S. to create and use AI for diagnostic
DRS/A
MDLA Medallia, Inc.
16 May 19
Draft registration statement (amended)
Medallia Athena has four key elements: rapid development, deployment and continuous learning infrastructure, based on Docker, Kubernetes, Spark and TensorFlow … and machine learning to detect patterns, predict behavior, prescribe actions and identify risks and opportunities to optimize experiences; and by driving … We are also investing to enhance machine learning and other forms of artificial intelligence, as well as additional predictive analytics and optimization
10-Q
2019 Q1
INOD Innodata, Inc.
10 May 19
Quarterly report
Our Technology and Infrastructure Our deep learning technologies are built on frameworks such as TensorFlow and Torch that layer algorithms to create … These tools use both machine learning-based visual data abstraction combined with traditional programmatic approaches. … We can deploy on-premises, as well, and our machine learning microservices can be consumed via API.
10-Q
2019 Q1
CRAY Cray, Inc.
7 May 19
Quarterly report
source libraries like Keras to enable the quick development of neural networks and commercial application; and Python and R, distributed Dask, BigDL, TensorFlow … , machine learning, and deep learning algorithms that utilize HPC technologies for performance and scale; technology innovations in memory and storage … In analytics and AI, we are developing and delivering high performance data discovery, advanced analytics, machine learning and deep learning solutions
DRS
MDLA Medallia, Inc.
5 Apr 19
Draft registration statement
Medallia Athena has four key elements: rapid development, deployment and continuous learning infrastructure, based on Docker, Kubernetes, Spark and TensorFlow … and machine learning to detect patterns, predict behavior, prescribe actions and identify risks and opportunities to optimize experiences; and by driving … We are also investing to enhance machine learning and other forms of artificial intelligence, as well as additional predictive analytics and optimization
10-K
2019 FY
AMBA Ambarella, Inc.
29 Mar 19
Annual report
We provide tools to map algorithms from commonly used computer vision frameworks such as Caffe or Tensorflow into our proprietary CVflow architecture. … product development in emerging applications, such as ADAS, advanced blind spot detection, object detection, people recognition, retail analytics, and machine learning, and gain customer acceptance of our technology platform and solutions, will be critical to our future success.
10-K
2018 FY
INOD Innodata, Inc.
26 Mar 19
Annual report
Our Technology and Infrastructure Our deep learning technologies are built on frameworks such as TensorFlow and Torch that layer algorithms to create … We can deploy on-premises, as well, and our machine learning microservices can be consumed via API. … Our focus on applied machine learning and emerging artificial intelligence (AI).
8-K
EX-99.3
NVDA Nvidia Corp
11 Mar 19
NVIDIA to Acquire Mellanox for $6.9 Billion
The datacenter market today consists of high-performance computing or supercomputing which is the initial target of our company's CUDA architecture. … And I'm wondering does the Mellanox acquisition necessarily mean that you're not going to be extending what you've done with CUDA on GPU, so a higher level … We call it artificial intelligence and machine learning and data analytics. This type of workload is just simply too big to fit on any one computer. … They are in every one of the DGX servers, the AI supercomputers that we make. So in our own products, they're in every single one.
10-K
2018 FY
ALTR Altair Engineering Inc
1 Mar 19
Annual report
FluiDyna: In May 2018, we acquired Germany-based FluiDyna GmbH, a renowned developer of NVIDIA CUDA and GPU-based Computational Fluid Dynamics, or CFD, … FluiDyna developed NVIDIA CUDA and GPU-based Computational Fluid Dynamics (“CFD”) and numerical simulation technologies. … These tools are all driven by simulation and machine learning algorithms. … The convergence of simulation and machine learning is essential to creating better products, marketing them efficiently, and optimizing their in-service