The technology industry continues to be a hotbed of innovation. Activity is driven by the increasing demand for artificial intelligence (AI) applications in various industries, the availability of vast amounts of data, and the need for scalable and cost-effective computing resources, as well as growing importance of technologies such as distributed computing, parallel processing, and specialised hardware accelerators like graphics processing units (GPUs) and tensor processing units (TPUs). In the last three years alone, there have been over 3.6 million patents filed and granted in the technology industry, according to GlobalData’s report on Innovation in Cloud: Neural net architecture. Buy the report here.
According to GlobalData’s Technology Foresights, which uses over 2.5 million patents to analyse innovation intensity for the technology industry, there are 300+ innovation areas that will shape the future of the industry.
Neural net architecture is a key innovation area in cloud
Neural network architecture encompasses a collection of algorithms and methodologies employed in the creation of artificial neural networks. These networks consist of interconnected nodes, referred to as neurons, organised into layers. Each neuron is connected to multiple other neurons and employs mathematical functions to transform inputs into outputs. The output of one neuron serves as input for subsequent neurons in the following layer, allowing for further data processing. This iterative process persists until the desired outcome is attained.
GlobalData’s analysis also uncovers the companies at the forefront of each innovation area and assesses the potential reach and impact of their patenting activity across different applications and geographies. According to GlobalData, there are 40+ companies, spanning technology vendors, established technology companies, and up-and-coming start-ups engaged in the development and application of neural net architecture.
Key players in neural net architecture – a disruptive innovation in the technology industry
‘Application diversity’ measures the number of different applications identified for each relevant patent. It broadly splits companies into either ‘niche’ or ‘diversified’ innovators.
‘Geographic reach’ refers to the number of different countries each relevant patent is registered in. It reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’.
Patent volumes related to neural net architecture
Source: GlobalData Patent Analytics
Samsung is a leading patent filer in neural net architecture. The company’s patents are aimed at invention describing a convolutional layer in a convolutional neural network that uses a predetermined horizontal input stride and a predetermined vertical input stride that are greater than 1 while the hardware forming the convolutional layer operates using an input stride of 1.
Each original weight kernel of a plurality of sets of original weight kernels is subdivided based on the predetermined horizontal and vertical input strides to form a set of a plurality of sub-kernels for each set of original weight kernels.
Each of a plurality of input feature maps (IFMs) is subdivided based on the predetermined horizontal and vertical input strides to form a plurality of sub-maps. Each sub-map is convolved by the corresponding sub-kernel for a set of original weight kernels using an input stride of 1. A convolved result of each sub-map and the corresponding sub-kernel is summed to form an output feature map (OFM).
Other prominent patent filers in the space include Alphabet and Intel.
By geographic reach, Alphabet leads the pack, followed by Stradvision and Tokyo Artisan Intelligence. In terms of application diversity, Tempus Labs holds the top position, followed by Apple and NEC.
Neural network architecture has revolutionised the field of artificial intelligence. By harnessing the power of cloud computing, neural networks can be deployed and trained on massive amounts of data with unprecedented speed and efficiency. It enables scalable and cost-effective solutions, as it provides access to high-performance computing resources and allows for distributed training across multiple machines.
To further understand how cloud is disrupting the technology industry, access GlobalData’s latest thematic research report on Cloud Computing – Thematic Intelligence.
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