Posted in America, Europe, Law, Patents at 12:34 am by Dr. Roy Schestowitz Summary: With buzzwords like "AI" and misleading terms like "IP" the litigation zealots are trying to convince themselves (and the public) that software is a physical thing and a "property" which needs "protecting" from "theft"; it doesn't seem to bother these people that copyright law already covers software HOW can a patent office seriously assert that it is serious about innovation when everyone who meets the officials comes from law firms and rarely has any scientific background? If this system's inception truly dates back to need to advance science, shouldn't these officials focus on actual scientists? This may sound like a shallow observation, but it perfectly describes the pattern we've been seeing at the European Patent Office (EPO) under António Campinos and his predecessor Battistelli (neither of whom has any background in the sciences). Seeing how the U.S. Patent and Trademark Office (USPTO) wants to work around 35 U.S.C. § 101, we're nowadays witnessing a similar trend in America too. A resurgence of software patents in Europe poses risk to US (case)law as well.
As it is across the world, the amount of investments made in artificial intelligence (AI) and the number of entrepreneurs using AI to develop new projects is also increasing in Turkey. AI facilitates business and production processes and supports automation. This shows that the number of AI start-ups will increase in the coming years. Therefore, Lale Deliveli Alp, one of the founders of Deliveli Alp Law & Consultancy, answered the following questions to make young entrepreneurs' work easier: By what legal means are AI software developed by technology companies protected? Is it possible to patent a developed AI? Alp answered the question about which many entrepreneurs wonder with the following response: "It is not possible to patent AI, which is software, in accordance with Article No. 82 in the Industrial Property Law. Computer programs are out of patentability. However, if the developed AI does not function separately from the hardware, it can be patented. For example, the AI of a developed robot can be patented since it cannot be used separately from the robot. It is always possible to protect AI software developed apart from this within the scope of copyright law as explained above."
Artificial Intelligence (AI) is here today; it's not just the future of technology. It is also not just found in toy robots or Hollywood sci-fi movies. It's embedded in the fabric of your everyday life. Despite AI's promise, certain thinkers are deeply concerned about a time when machines might become fully sentient, rational agents--beings with emotions, consciousness, and self-awareness. "The development of full artificial intelligence could spell the end of the human race," Stephen Hawking told the BBC in 2014.
Forget Killer Robots--Bias Is the Real Danger of artificial intelligence. Machine learning bias, also known as algorithm bias or AI bias, is a phenomenon that occurs when an algorithm produces results that are systematically prejudiced due to erroneous assumptions in the machine learning process. Oscar Wilde once argued that life imitates art more than art imitates life. Strangely, that's proving to be the case when it comes to AI development – but not in the way some had hoped. AI programs are made up of algorithms, or a set of rules that help them identify patterns so they can make decisions with little intervention from humans.
Did you know J.K. Rowling was accused of stealing the word'muggles', The Da Vinci Code's author, Dan Brown, was sued for non-literal copyright infringement and that it was speculated that the Hitler Diaries of 1983 was written by Adolf Hitler himself while evidences supported otherwise? Many such'literary' quandaries are inspected by expert linguists as analysing and categorising discourses is fairly complex, domain-specific and highly multi-dimensional. One of latest research areas in Natural Language Processing is Authorship Analysis which is trying to leverage the computational power of big-data and artificial intelligence combined with linguistics and cognitive psychology to encode automatic classification of texts, identification of author profiles and resolution of authorship conflicts. This article is an attempt to introduce the concept of authorship analysis, its application areas and the major sub-tasks associated with it. The art and science of discriminating between writing styles of authors by identifying the characteristics of the persona of the authors and examining articles authored by them is called Authorship Analysis.
There's been many popular posts on this subreddit regarding patents on well known ML techniques. Here is your chance to voice your concerns to the US patent office. The United States Patent and Trademark Office (USPTO) is interested in gathering information on patent-related issues regarding artificial intelligence inventions for purposes of evaluating whether further examination guidance is needed to promote the reliability and predictability of patenting artificial intelligence inventions. To assist in gathering this information, the USPTO is publishing questions on artificial intelligence inventions to obtain written comments from the public. The questions are designed to cover a variety of topics from patent examination policy to whether new forms of intellectual property protection are needed.
Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company"), a company specializing in the development of Internet of Things (IoT) and Artificial Intelligence (AI) enabled networking and tracking technologies, including its GopherInsight global mesh network technology platform for both mobile and fixed solutions, today announced that GBT Technologies, S.A., a Costa Rican company ("GBT CR"), has completed its written design of the deep nanometer range 3D microchip patent, clearing the way for GBT to file for international protection (PCT) for the patent. The application has been assigned serial number PCT/US19/50266 and the international filing date is September 10, 2019. This microchip is targeted for GBT's planned future chipset and derivative integrated circuits. The technology is based on a new concept for a microchip's die structure and orientation and is specifically designed for deep nanometer range. It is designed to work with Digital, Analog and Mixed technologies to achieve much higher performance and die yield.
Tempo Automation's Jeff McAlvay: His big idea was to make hardware development happen at the speed of software development. San Francisco isn't known as a manufacturing center. But in the heart of the city, not far from the highway, a venture-backed startup, Tempo Automation, is manufacturing electronics for big-name clients. Tempo, which has raised a total of $75 million from investors that include Point72 Ventures, Lockheed Martin and Lux Capital, isn't your typical, mass-production contract manufacturer. Instead, in its tucked-away basement factory, Tempo is helping companies like Lockheed Martin, General Electric, Hitachi and NASA produce small runs and prototypes of printed circuit boards quickly and accurately thanks to its proprietary software, machine learning and automation.
On August 22, 2019, the United States Patent and Trademark Office (USPTO) published a request for comments on patenting artificial intelligence inventions. Written comments must be received on or before October 11, 2019. The AI inventorship issue came to a head earlier this year when the inventor of an algorithm named DABUS (device for the autonomous bootstrapping of unified sentience) filed beverage container and flashing light patent applications in DABUS' name in the United Kingdom, Europe, and the United States. Additionally, many today see patent eligibility as a significant hurdle to obtaining patent protection in AI technologies. China and the United States lead in patent filings in all AI techniques and functional applications, as well as AI application fields.
The emergence of Artificial Intelligence (AI) is a topical subject and one which is now part of our everyday lives. The possibilities offered by AI technology are immeasurable, but with this also come challenges, in particular with Intellectual Property (IP) rights. In a new series entitled'Tech Trends', the World Intellectual Property Organisation (WIPO) have released a report which examines the trends of AI over the last number of years and how the intellectual property landscape can learn and adjust to the constant evolution of AI. You can find this report here if you would like to know more. In previous articles we have seen how AI is driving developments in both technology and business, its rapid growth has revolutionised many aspects of our lives from how we work, travel and communicate.