Google asserts that the patent industry stands to benefit from AI and machine learning models like BERT, a natural language processing algorithm that attained state-of-the-art results when it was released in 2018. In a whitepaper published today, the tech giant outlines a methodology to train a BERT model on over 100 million patent publications from the U.S. and other countries using open-source tooling, which can then be used to determine the novelty of patents and generate classifications to assist with categorization. The global patent corpus is large, with millions of new patents issued every year. Patent applications average around 10,000 words and are meticulously wordsmithed by inventors, lawyers, and patent examiners. Patent filings are also written with language that can be unintelligible to lay readers and highly context-dependent; many terms are used to mean completely different things in different patents.
Artificial intelligence (AI) has become a digital frontier that will have a profound impact on the world. It will have immense technological, economic, and social consequences and will transform the way humans work, live, and produce and distribute goods and services. Although it is too early to say, it is clear that AI will affect traditional intellectual property (IP) concepts. Commercial AI-generated music and AI-created inventions are not so far, and it is expected that it will define the concepts of the'composer', 'author', and'inventor'. But how that will happen is not clear yet.
The patent claims this sort of system could find use in autonomous vehicles, although it doesn't say it couldn't work for regular vehicles. I find the idea of one vehicle helping another vehicle rather nice. At least, I'm assuming they would be friends. It reminds me of the forklift pit-stop character Guido, from the movie Cars. I think the whole interaction would have that vibe.
Artificial Intelligence (AI) has changed our lives. Improvements in data mining, personal and automotive navigation, cybersecurity, personal entertainment and healthcare are several examples of the impact of AI. Recognizing that technological process can be measured by a review of the patent literature, the USPTO recently examined the patent literature from 1976 through 2018 to gauge the potential impact of AI on technology and innovation. It found a significant increase in patents using or covering AI. Patents containing AI appeared in about 42% of all technology subclasses in 2018 as compared to only 9% in 1976. The study also reported that the percentage of inventor-patentees active in AI started at 1% in 1976 and increased to 25% by 2018. Similar growth was reported for organizations patenting in AI. Precision medicine recognizes that patient subpopulations can be identified who differ in their disease risk, prognosis and response to treatment due to differences in underlying biology and other characteristics.
New technologies have always thrown up new questions about Intellectual Property. Whether that's the printing press revolution, the invention of recorded music, or the advent of the internet. Artificial Intelligence is no different. Over the past ten years AI technologies have accelerated. I've seen for myself the incredible impact they're having across a huge range of sectors – from medicine to manufacturing.
A month ago we finished Why R? 2020 conference. We had an pleasure to host Roger Bivand, a professor at Norwegian School of Economics and Member of R Foundation. This post contains a biography of the speaker and an abstract of his talk: Applied Spatial Data Analysis with R – retrospect and prospect. When we began over 20 years ago, spatial data was usually found in proprietary software, usually geographical information systems, and most positional data was very hard to acquire. Statistics for spatial data existed, but largely without convenient access to positional data.
Technology keeps creating challenges for intellectual property law. The infamous case of the "monkey selfie" challenged the notion of not just who owns a piece of intellectual property, but what constitutes a "who" in the first place. Last decade's semi-sentient monkey is giving way to a new "who": artificial intelligence. The rapid rise of AI has forced the legal field to ask difficult questions about whether an AI can hold a patent at all, how existing IP and patent laws can address the unique challenges that AI presents, and what challenges remain. The answers to these questions are not trivial; stakeholders have poured billions upon billions of dollars into researching and developing AI technologies and AI-powered products and services across academia, government, and industry.
Industry leaders expand relationship providing access to Reveal's AI technology to Epiq clients globally Reveal, a groundbreaking eDiscovery technology company, and Epiq, a global leader in the legal services industry, today announced a global enterprise license agreement for the use of Reveal's artificial intelligence technology. The new enterprise license provides all Epiq clients with expanded access to Reveal's artificial intelligence platform with Reveal's recently announced acquisition of NexLP, a leader in the legal artificial intelligence space. Reveal's artificial intelligence platform turns disparate, unstructured data into meaningful insights that can be used to deliver operational efficiencies and strategic advantages for use with eDiscovery cases and Investigations. "Epiq is excited to partner with Reveal as it expands its analytics and artificial intelligence offering through the acquisition of NexLP, a long standing and highly strategic partner of Epiq," said Doug Mazlish, SVP, strategic alliances. "We are looking forward to continuing to provide our clients best in class legal technology solutions in partnership with Reveal. Reveal's investment in NexLP will further fuel their innovation in artificial intelligence in the legal industry and allow Epiq to continue to be an innovation leader in the market."
On October 22, the report released at the 2020 Pujiang Innovation Forum Results Conference showed that China published 28,700 AI scientific papers in 2019, an increase of 12.4 percent over the previous year, and its activity in top international conferences in the field of artificial intelligence And the influence continues to increase. During the same period, the number of AI patent applications in China exceeded 30,000, an increase of 52.4 percent over the previous year. From a national perspective, Beijing, Jiangsu, Guangdong and other places published the most research results in 2019. We know you don't want to miss any news or research breakthroughs. Subscribe to our popular newsletter Synced Global AI Weekly to get weekly AI updates.
The debut of the Always Home Cam proved that Amazon is still willing to fly in the face of convention as well as potential home intruders. However, as I noted when I wrote about the home security drone last month, Amazon's 2020 device launch provided a stark contrast to previous years' events when Alexa's steward pushed boundaries into novel products like clocks and eyeglasses. Indeed, Amazon recently began shipping Day 1 Editions of one of these products: The Echo Loop ring, a $130 black titanium chunk of an extremity accessory that connects to smartphones via Bluetooth. It allows users to issue Alexa commands by pressing a button prior to speaking closely into it as well as hear responses by holding its back up to one's ear. It can thus act as an impractical Bluetooth headset.