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Other Pages (131)

  • Computer Networks | Copperpod IP

    Industry Focus: Computer Networks IT networking is the construction, design, and use of network equipment to allow groups of computing devices to exchange data over both wired and wireless networks. The market covers networking hardware, software, and services, including virtual networks, servers, network Two growing areas of IT networking are less bound by specific IT networking hardware, relying instead intellectual property (IP) into an increasingly critical position in global economics especially in the networking

  • Network & Data Security | Copperpod IP

    NETWORK AND DATA SECURITY In the digital age, cryptography has advanced to address the encryption and decryption of private communications through the internet and computer systems, a branch of cyber and network CLOUD COMPUTING COMPANIES PATENT MONETIZATION: NY LAW FIRM LICENSES ELECTRONICS OEM PATENTS TO TELECOM NETWORK

  • Multimedia Networks | Copperpod IP

    CLIENT SUCCESS PATENT PORTFOLIO ANALYSIS: COPPERPOD ASSISTS PATENT OWNER LICENSE MULTI-LANGUAGE PLAYBACK TECHNOLOGY TO MAJOR STREAMING SERVICES Challenge A New York-based entrepreneur was looking to execute portfolio analysis and patent monetization campaigns for the companies in the online streaming services domain. To acquire the best possible outcomes, the firm representing the inventor trusted Copperpod to do the technology-heavy lifting and identify the best technical evidence of infringement using the technology skills available at Copperpod. The patent under scrutiny relates to digital recording and signal processing of audio or video data. The technology comprises a processor and a buffer system to process the incoming audio and video signals and store in the buffer the contents specific to a language. KEY INSIGHT It is highly advisable to explore multiple theories of infringement, if possible, in the early stages of infringement - in order to cover multiple products and to preempt non-infringement arguments. Solution Copperpod experts reviewed the patent comprehensively to construe multiple theories and hence, widen the scope of infringement. This helped in carrying out a detailed and exhaustive market and product search. Copperpod identified the major players in the market that potentially infringe the claims of the patent. Based on the availability of evidence, our experts picked the streaming services with a strong infringement read. For each product, the key evidence was collected from the publicly available documents and product user guides. Success Using public evidence and product testing, Copperpod drafted 8 detailed infringement charts against the services. Wherever applicable, Copperpod also highlighted claim limitations that were expected to be implemented in the target’s software source code - wherein conclusive evidence would be available as part of the fact discovery process.

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Blog Posts (139)

  • Spiking Neural Networks: A Biologically Inspired Approach to Artificial Intelligence

    Spiking Neural Networks (SNNs) draw inspiration from the biological behavior of neurons in the human Spiking Neural Networks (SNNs) offer a biologically inspired approach that models neural communication How do Spiking Neural Networks relate to biology? and deploying spiking neural networks on mobile devices. neural network architecture called the Sparse Spiking Neural Network (SSN).

  • Deep Learning with Tensorflow.js

    It learns from data that is unstructured and uses complex algorithms to train a neural network. Primarily we use neural networks in deep learning, which is based on AI in which we train networks to of data as input to build the neural network. It includes programming support of deep neural networks and machine learning techniques. If the neural networks have the proper input data feed, neural networks are capable of understanding

  • How Generative AI is Revolutionizing Video Creation

    By utilizing deep learning models like Convolutional Neural Networks (CNNs), Recurrent Neural Networks Super-Resolution Convolutional Neural Networks (SRCNNs)  are applied to upscale videos, improving their Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks capture temporal relationships leveraging deep learning methods like Convolutional Neural Networks (CNNs). A Generative Adversarial Network (GAN) comprises two neural networks: a Generator and a Discriminator

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