Grade: G13/3 (net (basic) monthly salary* for this vacancy: EUR 12 435,12, which may be supplemented by various allowances depending on your personal circumstances) Duration of appointment: 5 years Career path: Managerial Location: Munich Application deadline: 17.11.2019 With almost 7 000 employees, the European Patent Office (EPO) is the second-largest public service institution in Europe. It supports innovation, competitiveness and economic growth across Europe through a commitment to high-quality and efficient services delivered under the European Patent Convention, its founding treaty. It has a yearly budget of EUR 2.3 billion, entirely financed by the fees paid by its users. As set out in its Strategic Plan 2023, the EPO is proud to deliver high-quality patents and efficient services that foster innovation, competitiveness and economic growth.
The US office responsible for patents and trademarks is trying to figure out how AI might call for changes to copyright law, and it's asking the public for opinions on the topic. The United States Patent and Trademark Office (USPTO) published a notice in the Federal Register last month saying it's seeking comments, as spotted by TorrentFreak. The office is gathering information about the impact of artificial intelligence on copyright, trademark, and other intellectual property rights. It outlines thirteen specific questions, ranging from what happens if an AI creates a copyright-infringing work to if it's legal to feed an AI copyrighted material. It starts off by asking if output made by AI without any creative involvement from a human should qualify as a work of authorship that's protectable by US copyright law.
While Intellectual Property (IP) law is already quite complicated, especially when international boundaries are concerned, with the advent of Artificial Intelligence (AI), IP law promises to become even more complex. For example, when AI is involved in an inventive or creative process, who holds the IP rights to that work? Can AI hold a copyright (AI is already creating art, writing books, and taking photographs)? Can AI hold a patent? Recently, two UK academics attempted to file patents on behalf of an AI system known as DABUS, which invented a robot-friendly system of interlocking food containers without human involvement.
Inphi Corp., is buying most of eSilicon; while Synopsys will acquire the fabless vendor's embedded memory and interface intellectual property (IP) business. Inphi is to pay $216 million for eSilicon in both cash and assumption of debt, while the price that Synopsys paid for the memory assets was not disclosed. Targeting high-bandwidth networking, high-performance computing, artificial intelligence (AI) and 5G infrastructure markets, its IP includes configurable 7nm 56G/112G SerDes plus networking-optimized 16/14/7nm FinFET IP platforms featuring HBM2 PHY, ternary content-addressable memory (TCAM), specialized memory compilers and I/O libraries. Its neuASIC platform provides AI-specific IP and a modular design methodology to create ASICs. Speaking of the acquisitions, Jack Harding, president and CEO of eSilicon, said, "Our engineering talent, IP and customer relationships in networking, data-center and cloud, telecom 5G infrastructure and AI will help enhance their respective offerings."
Filing a patent is the clerical equivalent of pulling teeth -- at least in the U.S. It first requires inventors to determine the type of intellectual property (IP) protection they require (i.e., utility, design, or plant). Then they're on the hook to conduct a United States Patent and Trademark Office (USPTO) database search for similar inventions. If and only if the novelty of their idea passes muster are they allowed to proceed to the next step, which is preparing an application and fees. The system has motivated people like former aerospace engineer Dr. Stephen Thaler to turn to AI in pursuit of a better way. He, along with a team of legal experts and engineers, developed DABUS, a "creativity machine" that's able to generate ideas without human intervention.
We are in the midst of an AI boom, with investment and merger and acquisition activity in the sector increasing exponentially. This new frontier raises various challenges for IP law, where numerous questions exist about whether the existing legal framework is fit for purpose in the age of the intelligent machine. "Artificial intelligence" is generally used to refer to technology that carries out tasks that normally need human intelligence. Here, we focus on machine learning, a subset of AI that enables computers to learn from data without being explicitly programmed. A machine learning system typically comprises a computational model based on an algorithm (or algorithm stack) with a dataset to train it.
Our partner Elisabetta Papa is to speak about "Patent protection tools in the field of Artificial Intelligence and IoT – Trends in Europe and open criticalities" during the seminar "Intellectual Property in Europe and Russia – Global markets, intangibles and technology" to be held at the Milan office of law firm De Berti Jacchia Franchini Forlani on 5 November 2019 from 3.30 pm.
"The time is ripe," said Andrei Iancu, the agency's director. "Our need is high and technology has advanced, so this is a good time to take advantage of these new tools to help our examiners," Mr. Iancu said. The agency's AI expert will advise the CIO on state-of-the-art implementations of smart tools in its internal business units, while creating a road map for using AI, including machine learning, to drive efficiencies in both the patent and trademark examination process, Mr. Iancu said. The goal is to speed up the overall process, he said, in part by automating aspects of the research performed by staff examiners and supervisors, reducing mundane administrative tasks and cutting costs by eking out efficiencies. The agency received about 643,000 patent applications last year, inching down from 2017, but up from about 619,000 in 2014, according to the agency.
We are making such material available non-commercially in an effort to educate and advance research in machine learning, generative music, music information retrieval, computational creativity, etc. We believe this constitutes a'fair use' of any such copyrighted material as provided for in section 107 of the US Copyright Law.