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The Patent Landscape for AI Technology

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AI has become a ubiquitous term today world, both inside and outside the tech landscape. It is not only a functional term that points to the power of technology but is also emotive. The ethos behind AI can be summed up in one word: potential. AI points to the future of what is possible.

Since its conception in 1956, innovators and researchers have published over 1.6 million AI-related scientific publications and filed nearly 340,000 AI-related patent applications. Machine Learning (ML) technology is included in 40% of these patent application claims. The functional applications underlying the majority of these patent applications are natural language processing, speech processing, and image recognition.

What is a patent?

A patent is a federal grant of exclusive right given to an inventor who receives an issued patent claim. It can last up to twenty years.

With a patent grant, United States Patent and Trademark Office (USPTO) confers patent owners with the “right to exclude others from making, using, offering for sale, or selling” the invention in the United States or importing the invention into the US.”

A valid patent bars protection for any subsequent independent invention by another inventor, deeming the later inventor the infringer. It is a powerful form of Intellectual Property (IP) protection that protects either the functionality or the aesthetic properties of an invention.

Is AI patent-eligible?

Any new and useful process, machine, article of manufacture or composition of matter may fall under the scope of subject-matter that qualifies for a utility patent. Since AI software is inherently a process, it can be patent eligible, as long as it meets the USPTO’s five rules for patent eligibility.

The rules are as follows: (1) The invention must be a process, machine, or object; (2) the invention must have utility; (3) the invention must be novel or new; (4) the invention must be non-obvious; and (5) the invention must not have been disclosed to the public before the patent application.

To qualify under ‘process, machine, or object’, says JD Houvener, USPTO-licensed attorney with Bold Patents, the subject-matter of the proposed AI patent application claim must cover a unique software invention that is either tied to a machine or that offers an identifiable improvement to society that humans can’t do alone. Where AI requires a computer, processor, or software to analyze or receive data, it is inherently a method with a practical application.

AI represents the ability of a computer to conduct, improve, or manage activities that humans can’t do alone. The sheer weight of that realization is incredible and points back to the concept of the vast potential of this emerging technology.

Most AI technology that is connected to a computer will be patent-eligible. If an invention qualifies, patent protection is an absolute must for inventors because it is such an evolving technological sector and the pace of change is fast. As such, the last thing an inventor wants is to miss out on ownership or exclusivity over what he or she developed.

AI Patent Landscape

International Data Corporation forecasted in 2017 that the AI industry will generate more than $57 billion in 2021. Efforts to patent AI inventions have exponentially increased, seen in how over 9,000 USPTO patent applications in AI-related areas were published in the last four years. There have been over 154,000 global AI patent applications filed since 2010, the majority of which are in the fields of health and digital security.

Microsoft and IBM are at the top of the pack in the AI patent landscape. Tech giant IBM leads with nearly 9,000 AI-related patent applications, followed by Microsoft with close to 6,000.

Effects of AI Patents

If the USPTO system does its job correctly, AI-related issued and pending patents will have a positive impact on the market. As new discoveries are made and new patents are issued, there will be more momentum for innovation which will better society in the long term.

In the short term, however, the USPTO system may reward the larger companies such as IBM and Microsoft rather than scrappy startups. This is because patents are expensive, time-consuming, and require resources that most new companies often don’t have the ability to use on IP protection.

However, more innovation by larger companies may reward the smaller and more agile companies in the long term. This would depend on whether smaller companies are reading and learning from issued patents, so the responsibility is upon them to watch for trends and use the dynamic force of AI in their research.

This article is a contribution of Carly Klein

About the author

Carly Klein is a first-year student at Loyola Law School. A Los Angeles native and a graduate from Boston University with a B.A. in Political Science & Philosophy, she seeks to pursue a career in civil litigation.

 

 

Artificial Intelligence

Siri Co-Founder Tom Gruber Joins Sherpa.ai as Strategic Advisor

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Sherpa.ai, one of the leading companies in predictive Digital Assistants and Artificial Intelligence, has announced today that Tom Gruber, co-founder and CTO of Siri, is joining the company as Strategic Advisor. Gruber will work with the Sherpa.ai team as they develop new AI-based features. As part of the agreement, Sherpa.ai is the only Digital Assistant company that he is advising.

Gruber’s incorporation implies a significant milestone for the Basque company, as he is considered to be one of the top experts in Artificial Intelligence and digital assistants, worldwide.

“The arrival of Tom Gruber to our company makes it clear that we are at the global forefront, in terms of Artificial Intelligence and digital assistants,” said Xabi Uribe-Etxebarria, founder and CEO of Sherpa.ai. “Sherpa’s mission is to augment and accelerate human potential through the application of personal AI and Tom’s experience and outlook are perfectly aligned with that mission.”

“I visited the company headquarters in Bilbao and I was impressed with their Artificial Intelligence technology. Among the Digital Assistant companies that I have seen, I am most excited by the Sherpa.ai product and team, that’s why I decided to join them,” added Tom Gruber.

Tom Gruber is a researcher, designer, and entrepreneur, with a focus on technology to augment human intelligence and well being. He was the co-founder and CTO of the team that created Siri, which was acquired by Apple in 2010. At Apple for over 8 years, Tom led the Advanced Development Group that designed and prototyped new capabilities for Siri and related products that bring intelligence to the interface.

Throughout his career, Gruber has applied Artificial Intelligence technology to support individual and collective human knowledge. He founded companies to support human collaboration and knowledge sharing, and his research at Stanford University laid the groundwork for the exchange of semantic information sharing and the Semantic Web.

Gruber will advise Sherpa.ai in the development the next of generation of digital assistant features, such as predictive and proactive personalization.

Sherpa.ai offers a white-label digital assistant, in relationships with major automobile manufacturers and telcos. It recently closed a $15 million round of financing to accelerate its growth.

Recently, Sherpa.ai launched important new products, like the Sherpa.ai Conversational OS platform, which allows the digital assistant technology to be integrated into any device, and the Sherpa.ai Predictive and Recommending Engine,through which companies can equip any product with predictive technology.

Additionally, in April, the company presented Sherpa News, a free news application based on Artificial Intelligence, available for Android and iOS, which completes the catalog of mobile applications, alongside Sherpa Assistant, the digital assistant that has been downloaded millions of times since its launch.

 

SOURCE Sherpa.ai

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Artificial Intelligence

Xpeng G3 achieves highest score among EVs in China’s latest C-NCAP safety test

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The Xpeng G3 2019 version obtained the highest total score of 92.2% among electric vehicles in the latest China New Car Assessment Program (C-NCAP) safety test, according to official results announced on 13 July.

The G3 smart EV SUV achieved a 5-star standard safety rating, and was among the first batch of new energy vehicles received 5-star rating by C-NCAP after it released new rules in line with international standards. C-NCAP released the new version of its regulations in 2018, adding safety evaluation standards for pure electric vehicles, and performance evaluations for active safety functions.

According to the official C-NCAP results, the G3 received 96.50% in passenger safety and 94.09% in active safety, both the highest rankings among electric vehicles in this latest safety evaluation by the Chinese authority.

In C-NCAP’s most stringent 64-kilometer offset collision, the G3 received the highest score of 19.758 among all types of vehicles. In addition, the G3’s active safety system has gone through over 3,000 hours of data acquisition. The road test for its automatic emergency braking function recorded zero malfunctions in every 150,000 km.

“The C-NCAP results are a strong endorsement of Xpeng’s in-house R&D, safety design and quality control capability,” said Xpeng Motors Chairman & CEO He Xiaopeng. “The new C-NCAP regulations are the most stringent yet for EVs, but the G3 has matched or exceeded these standards, rating it the safest electric vehicle in the China market.”

The G3’s comprehensive active and passive safety features are supported by its strong body architecture, with 70% of the vehicle body made of high-strength steel (including 6.7% ultra-high strength steel and 1500MPa 7.5% thermoformed steel), creating a rigid safety cage to withstand collisions from different directions. This architecture can quickly disperse collision forces through various nodes, effectively reducing locally concentrated force to help prevent the vehicle body crumpling in a collision.

During the R&D phase, Xpeng conducted five rounds of safety tests on the G3, including 63 vehicle collisions and 40 sliding tests to cover a full range of collision scenarios. The G3 also went through more than 1,000 structural optimization simulations in the R&D phase, taking more than 30,000 hours. Additionally, the G3 has the following active safety systems:

  • Forward collision warning (FCW)
  • Automatic emergency brake (AEB) with pedestrian protection
  • Lane departure warning (LDW)
  • Intelligent speed limit assist (SLA)
  • Blind spot detection (BSD)
  • Lane change alert (LCA)
  • Rear cross traffic alert (RCTA)
  • MSB electric seatbelt (with collision warning)

 

SOURCE XPENG Motors

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Artificial Intelligence

TVS Motor Singapore to Invest US$7 Million in Scienaptic Systems, an AI Powered Decision Platform

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TVS Motor (Singapore) Pte. Limited, a wholly-owned subsidiary of TVS Motor Company Limited, India, has signed definitive agreements to invest US$7 million in Scienaptic Systems Inc., a Delaware corporation, headquartered in New York City. TVS Motor (Singapore) Pte. Limited led this Series A funding in Scienaptic. The closing of the investment is subject to obtaining appropriate regulatory approvals.

Scienaptic has combined latest big data technologies and proprietary machine learning and artificial intelligence algorithms on its decision platform, “Ether.” Solutions built on Ether enable enterprises to improve risk and credit assessment, monitor evolving fraud patterns, and improve customer journeys and experience. Scienaptic counts several marquee Fortune 100 enterprises as its clients.

Rajesh Narasimhan, Board Member of TVS Motor Company and CEO of TVS Motor (Singapore), stated that, “We evaluated many companies providing big data analytics and risk management solutions and found Scienaptic’s product offerings and solutions with their ability to help organizations leverage actionable insights through the power of a strong analytics platform to be a clear differentiator and a unique proposition. Scienaptic’s end-to-end data analytics solution, with applicability to customers in various industries, has the potential to generate a new profit stream for our group. We are happy to invest in, and strategically partner with, Scienaptic as they continue to pursue bottom-line impact for Fortune 100 companies, and to leverage Scienaptic for our businesses. Our current investment in Scienaptic is part of the initial set of investments being made in strategically relevant digital startups.”

Pankaj Kulshreshtha, Founder & CEO of Scienaptic added, “We are witnessing the adoption of our AI platform at Fortune 100 companies. With the cutting edge instruments on our platform, companies are able to drive adoption of AI in their processes. The investment by TVS enables us to accelerate our sales and product development. We found a significant match in value systems between the two organizations and believe that our collective strengths will enable Scienaptic to grow exponentially and become a global leader in AI-powered decisioning space.”

 

SOURCE TVS Motor

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