In a previous post, we compared the inventor i-index scores for the famous inventors – Edison and Tesla. In this article, we show how one can explore the key inventors in specific technology areas or companies, based on their i-indices. We do this for a couple of technologies – Neural Networks and Speech Recognition, and companies – with Stryker and Tesla as examples.
Cars that are self-driven and robots that can feel and predict the world around them are no more a subject matter of science fiction. These and other such advancements are taking shape with Artificial Intelligence techniques such as Neural Computing.
Neural Computing uses Artificial Neural Networks (ANN) – that simulate the human learning processes – to solve complex problems and create self-learning systems. Most of the recent advances in AI technologies rely on neural computing as ANNs do not require task-specific programming and improve over time by learning from data and using corrective feedback loops.
In 2017, Google launched an initiative to use its new technology, AutoML, to develop artificial intelligence. Google claims this new technology can build more powerful and efficient networks.
AI is also disrupting speech and voice recognition technologies. AI-powered speech recognition is now being used across industry sectors and applications such as communications, healthcare, automated vehicles and entertainment. Recently, Amazon’s Alexa Speech group scientists have reduced the errors in speech recognition using AI technologies.
We take a look at 15 of the key inventors in these technology areas – Neural Networks and Speech Recognition – and compare their Inventor Index scores.
Our Inventor Index gave the following results (Table 1). James H. Brauker, a biomedical scientist tops the list with an i-index of 133.99. In the list, at number 11, is Dharmendra S. Modha, who is an IBM Fellow and IBM Chief Scientist for Brain-inspired Computing. Dr. Modha has authored over 60 papers and has more than 100 patent disclosures to his credit.
Table 2 lists the inventors in Speech recognition technologies with some of the highest i-index scores. Wei-Ge Chen at the second position possesses an i-index of 42.38. He is a software architect in the Advanced Development Team at Microsoft Research and holds over 40 issued and 50 pending patents, and has published around 20 articles.
We also look at two companies known for their innovation in different technology sectors – Stryker and Tesla – and the key inventors in those companies with the highest i-indices.
Stryker, one of the world’s leading medical technology companies, has been on the Fortune’s World’s Most Admired Companies list for over fifteen years in a row. The company owns a product portfolio of close to 60,000 products and a patent portfolio of over 8,000 patents. Table 3 lists the key inventors in the company based on their inventor index.
After making its patents public, Elon Musk now announces that Tesla plans to launch a robo-taxi network in 2020. Musk observed that he envisions a future where the robotaxis would drop people off, return home on their own, park themselves and automatically recharge the battery. Tracking Tesla is a worldwide pastime and the company never fails to surprise the industry-watchers. Table 4 lists the key inventors in the company with the highest i-index scores. The i-index aims to provide inventors with a means to obtain an objective measure of the impact of their patents and showcase this to the world. The calculation of the i-index incorporates both the number of new ideas the inventor has generated as well as how far-reaching they are.In the present digital world, patents become an effective tool to create an impact. You can use i-index as a tool to effectively build your brand by including it in your profile, social media platforms or your website. The i-index is emblematic of the inventor’s innovation footprint and companies can judiciously employ it, along with other criteria, to search for talent as they look to build their R&D teams to deliver new technologies and products and power their growth.
Relecura’s forte is its flexibility and adaptability to address specific problems and close-fitting solutions. The basic problem is that innovators are often not able to identify the industrial and commercial significance of their innovation as due diligence takes long days of analyses necessitating a deviation from their regular and familiar activities. And it is a tedious iteration process. The latest custom AI capabilities help you assess the commercial value of innovation and technical due diligence can be automated to yield meaningful and immediate results. The repetitive tasks could be automated, and your time and energy could be devoted to strategic missions.
Management of large Innovation data is costly and labor intensive. Relecura offers AI Powered classification tools for categorizing and organizing data automatically and instantly. Automated Categorization against suitably chosen training documents keeps your innovation portfolio updated and lucidly classified, amenable to instant analyses.
Relecura offers fully automated custom AI solutions to track and explore developments in different technology areas. You can stay updated on the latest developments in different companies and technologies of your interest, which facilitates intelligent decision-making.
Competitive intelligence is a prerequisite for strategic decision making. Relecura provides tools to track the innovation and publication dynamics of your competitors, based on which you can prioritize your innovation initiatives and thus hone up your competitive edge.
Relecura uses white space analysis within its product platform known as the TechTracker, an AI powered tool that provides insights on various technological trends and offers a peep into your competitor’s patent arsenal. Additionally, it helps you keep track of emerging organizations and technologies to help you manage your budgets and investments, optimally.
Make faster, better technology decisions with Relecura
Our professional services offer training and support to minimise time-to-value on the Relecura platform and make more timely, confident IP decisions