Search results

Create the page "Computational Models" on this wiki! See also the search results found.

Page title matches

• 18341397. Adaptive Learning Rates for Training Adversarial Models with Improved Computational Efficiency simplified abstract (GOOGLE LLC)
  =Adaptive Learning Rates for Training Adversarial Models with Improved Computational Efficiency= ==Adaptive Learning Rates for Training Adversarial Models with Improved Computational Efficiency - A simplified explanation of the abstract==
  3 KB (468 words) - 17:46, 1 January 2024
• US Patent Application 18196598. AUTOMATED SYSTEMS FOR REDUCING COMPUTATIONAL LOADS IN THE MASS EXECUTION OF ANALYTICAL MODELS USING SCALE-OUT COMPUTING simplified abstract
  ...STEMS FOR REDUCING COMPUTATIONAL LOADS IN THE MASS EXECUTION OF ANALYTICAL MODELS USING SCALE-OUT COMPUTING= ...STEMS FOR REDUCING COMPUTATIONAL LOADS IN THE MASS EXECUTION OF ANALYTICAL MODELS USING SCALE-OUT COMPUTING - A simplified explanation of the abstract==
  2 KB (312 words) - 06:38, 10 November 2023
• 18367546. METHOD AND SYSTEM FOR EVALUATING CLINICAL EFFICACY OF MULTI-LABEL MULTI-CLASS COMPUTATIONAL DIAGNOSTIC MODELS simplified abstract (Tata Consultancy Services Limited)
  ...TING CLINICAL EFFICACY OF MULTI-LABEL MULTI-CLASS COMPUTATIONAL DIAGNOSTIC MODELS= ...TING CLINICAL EFFICACY OF MULTI-LABEL MULTI-CLASS COMPUTATIONAL DIAGNOSTIC MODELS - A simplified explanation of the abstract==
  5 KB (701 words) - 10:20, 25 March 2024

Page text matches

• 18152528. TECHNIQUES FOR BALANCING DYNAMIC INFERENCING BY MACHINE LEARNING MODELS simplified abstract (NVIDIA Corporation)
  =TECHNIQUES FOR BALANCING DYNAMIC INFERENCING BY MACHINE LEARNING MODELS= ==TECHNIQUES FOR BALANCING DYNAMIC INFERENCING BY MACHINE LEARNING MODELS - A simplified explanation of the abstract==
  3 KB (460 words) - 08:01, 12 July 2024
• US Patent Application 18196598. AUTOMATED SYSTEMS FOR REDUCING COMPUTATIONAL LOADS IN THE MASS EXECUTION OF ANALYTICAL MODELS USING SCALE-OUT COMPUTING simplified abstract
  ...STEMS FOR REDUCING COMPUTATIONAL LOADS IN THE MASS EXECUTION OF ANALYTICAL MODELS USING SCALE-OUT COMPUTING= ...STEMS FOR REDUCING COMPUTATIONAL LOADS IN THE MASS EXECUTION OF ANALYTICAL MODELS USING SCALE-OUT COMPUTING - A simplified explanation of the abstract==
  2 KB (312 words) - 06:38, 10 November 2023
• 17736312. ELECTRONIC DEVICE AND OPERATING METHOD WITH MODEL CO-LOCATION simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
  ...device and method for co-locating models on an accelerator based on their computational characteristics and affinity. ...tronic device has processors that analyze computational characteristics of models being located to an accelerator.
  3 KB (392 words) - 05:25, 2 January 2024
• Nvidia corporation (20240231928). TECHNIQUES FOR BALANCING DYNAMIC INFERENCING BY MACHINE LEARNING MODELS simplified abstract
  =TECHNIQUES FOR BALANCING DYNAMIC INFERENCING BY MACHINE LEARNING MODELS= ==TECHNIQUES FOR BALANCING DYNAMIC INFERENCING BY MACHINE LEARNING MODELS - A simplified explanation of the abstract==
  3 KB (454 words) - 04:30, 11 July 2024
• 17937242. DEFENSE AGAINST XAI ADVERSARIAL ATTACKS BY DETECTION OF COMPUTATIONAL RESOURCE FOOTPRINTS simplified abstract (Dell Products L.P.)
  =DEFENSE AGAINST XAI ADVERSARIAL ATTACKS BY DETECTION OF COMPUTATIONAL RESOURCE FOOTPRINTS= ==DEFENSE AGAINST XAI ADVERSARIAL ATTACKS BY DETECTION OF COMPUTATIONAL RESOURCE FOOTPRINTS - A simplified explanation of the abstract==
  3 KB (472 words) - 09:21, 12 April 2024
• 18220567. METHOD AND SYSTEM FOR PERSONALISING MACHINE LEARNING MODELS simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
  =METHOD AND SYSTEM FOR PERSONALISING MACHINE LEARNING MODELS= ==METHOD AND SYSTEM FOR PERSONALISING MACHINE LEARNING MODELS - A simplified explanation of the abstract==
  3 KB (390 words) - 06:15, 1 January 2024
• 18147769. SYSTEM AND METHOD FOR MANAGING AI MODELS USING ANOMALY DETECTION simplified abstract (Dell Products L.P.)
  =SYSTEM AND METHOD FOR MANAGING AI MODELS USING ANOMALY DETECTION= ==SYSTEM AND METHOD FOR MANAGING AI MODELS USING ANOMALY DETECTION - A simplified explanation of the abstract==
  4 KB (552 words) - 17:28, 7 July 2024
• Samsung electronics co., ltd. (20240112708). DEVICE AND METHOD WITH COMPUTATIONAL MEMORY simplified abstract
  =DEVICE AND METHOD WITH COMPUTATIONAL MEMORY= ==DEVICE AND METHOD WITH COMPUTATIONAL MEMORY - A simplified explanation of the abstract==
  4 KB (525 words) - 04:19, 11 April 2024
• Dell products l.p. (20240111902). DEFENSE AGAINST XAI ADVERSARIAL ATTACKS BY DETECTION OF COMPUTATIONAL RESOURCE FOOTPRINTS simplified abstract
  =DEFENSE AGAINST XAI ADVERSARIAL ATTACKS BY DETECTION OF COMPUTATIONAL RESOURCE FOOTPRINTS= ==DEFENSE AGAINST XAI ADVERSARIAL ATTACKS BY DETECTION OF COMPUTATIONAL RESOURCE FOOTPRINTS - A simplified explanation of the abstract==
  4 KB (495 words) - 08:37, 11 April 2024
• 18108737. DEVICE AND METHOD WITH COMPUTATIONAL MEMORY simplified abstract (Samsung Electronics Co., Ltd.)
  =DEVICE AND METHOD WITH COMPUTATIONAL MEMORY= ==DEVICE AND METHOD WITH COMPUTATIONAL MEMORY - A simplified explanation of the abstract==
  4 KB (529 words) - 07:45, 12 April 2024
• 18367546. METHOD AND SYSTEM FOR EVALUATING CLINICAL EFFICACY OF MULTI-LABEL MULTI-CLASS COMPUTATIONAL DIAGNOSTIC MODELS simplified abstract (Tata Consultancy Services Limited)
  ...TING CLINICAL EFFICACY OF MULTI-LABEL MULTI-CLASS COMPUTATIONAL DIAGNOSTIC MODELS= ...TING CLINICAL EFFICACY OF MULTI-LABEL MULTI-CLASS COMPUTATIONAL DIAGNOSTIC MODELS - A simplified explanation of the abstract==
  5 KB (701 words) - 10:20, 25 March 2024
• 18341397. Adaptive Learning Rates for Training Adversarial Models with Improved Computational Efficiency simplified abstract (GOOGLE LLC)
  =Adaptive Learning Rates for Training Adversarial Models with Improved Computational Efficiency= ==Adaptive Learning Rates for Training Adversarial Models with Improved Computational Efficiency - A simplified explanation of the abstract==
  3 KB (468 words) - 17:46, 1 January 2024
• 18147765. SYSTEM AND METHOD FOR MANAGING AI MODELS USING DIRECT MODIFICATION DETECTION simplified abstract (Dell Products L.P.)
  =SYSTEM AND METHOD FOR MANAGING AI MODELS USING DIRECT MODIFICATION DETECTION= ==SYSTEM AND METHOD FOR MANAGING AI MODELS USING DIRECT MODIFICATION DETECTION - A simplified explanation of the abstr
  3 KB (520 words) - 17:28, 7 July 2024
• Nvidia corporation (20240111894). GENERATIVE MACHINE LEARNING MODELS FOR PRIVACY PRESERVING SYNTHETIC DATA GENERATION USING DIFFUSION simplified abstract
  =GENERATIVE MACHINE LEARNING MODELS FOR PRIVACY PRESERVING SYNTHETIC DATA GENERATION USING DIFFUSION= ==GENERATIVE MACHINE LEARNING MODELS FOR PRIVACY PRESERVING SYNTHETIC DATA GENERATION USING DIFFUSION - A simpli
  4 KB (482 words) - 07:31, 10 April 2024
• Tata Consultancy Services Limited patent applications published on March 21st, 2024
  ...ting clinical efficacy of multi-label multi-class computational diagnostic models, hyperspectral artificial vision for machines, and vicarious calibration of ...sultancy Services Limited cover evaluating clinical efficacy of diagnostic models, hyperspectral artificial vision for machines, and vicarious calibration of
  3 KB (372 words) - 08:30, 27 March 2024
• US Patent Application 17718738. Parameter Efficient Prompt Tuning for Efficient Models at Scale simplified abstract
  =Parameter Efficient Prompt Tuning for Efficient Models at Scale= ==Parameter Efficient Prompt Tuning for Efficient Models at Scale - A simplified explanation of the abstract==
  2 KB (250 words) - 02:12, 19 October 2023
• US Patent Application 18355243. Systems and Methods for Machine-Learned Models Having Convolution and Attention simplified abstract
  =Systems and Methods for Machine-Learned Models Having Convolution and Attention= ==Systems and Methods for Machine-Learned Models Having Convolution and Attention - A simplified explanation of the abstract
  2 KB (309 words) - 06:29, 10 November 2023
• Dell products l.p. (20240095576). GAN-BASED DATA GENERATION FOR CONTINUOUS CENTRALIZED ML TRAINING simplified abstract
  ...hetic data contributed by nodes to a central machine learning service. The models are trained to generate synthetic data based on the distribution of each no * Data is used to train models that can generate synthetic data.
  3 KB (467 words) - 00:55, 22 March 2024
• 18368027. ESTIMATION DEVICE, ESTIMATION METHOD, AND PROGRAM simplified abstract (Honda Motor Co., Ltd.)
  The patent application describes an estimation device that uses trained models to predict distribution information on second parameters based on input of * Acquires prediction parameters by inputting actual parameters into trained models
  4 KB (481 words) - 04:00, 25 March 2024
• 18474934. Personalized Federated Learning Via Sharable Basis Models simplified abstract (GOOGLE LLC)
  =Personalized Federated Learning Via Sharable Basis Models= ==Personalized Federated Learning Via Sharable Basis Models - A simplified explanation of the abstract==
  4 KB (597 words) - 07:02, 13 April 2024

View (previous 20 | next 20) (20 | 50 | 100 | 250 | 500)