Much has been written about how artificial intelligence (AI) and machine learning (ML) are about to transform the global productivity, working patterns and lifestyles and create enormous wealth. Gartner projects that by 2021, AI augmentation will create $2.9 trillion of business value and $6.2 billion hours of worker productivity globally. McKinsey forecasts AI potentially could deliver additional economic output of around $13 trillion by 2030, boosting global GDP by about 1.2 percent a year. Companies around the globe are all racing to adopt and innovate AI and ML technologies. Indeed, by any account, much progress has been made and the adoption and innovation rates are quickening. But who is winning or leading in the race? A quick review of U.S. patent data may provide a glimpse into the state of the race.
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- International Approaches to Accelerating Innovation and Access in the Pandemic
- Defensive Publications: A Cost-Effective Tool to Supplement Your Patent Strategy
- A Stylized Word Mark in One Country May Be Too Simple and Common in Another
- Other Barks & Bites for Friday, May 22: Copyright Office Issues Section 512 Safe Harbor Report, CAFC Denies Review of PTAB Institution Decision and Director Iancu on Possible Filing Deadline Extension
- CAFC Finds Claim for Delivery Notification System Abstract as Directed to a Longstanding Commercial Practice