Innovation ecosystems can be naturally described as a collection of networked entities, such as experts, institutions, projects, technologies and products. Representing in a machine-readable form these entities and their relations is not entirely attainable, due to the existence of abstract concepts such as knowledge and due to the confidential, non-public nature of this information, but even its partial depiction is of strong interest. The representation of innovation ecosystems incarnated as knowledge graphs would enable the generation of reports with new insights, the execution of advanced data analysis tasks. An ontology to capture the essential entities and relations is presented, as well as the description of data sources, which can be used to populate innovation knowledge graphs. Finally, the application case of the Universidad Politecnica de Madrid is presented, as well as an insight of future applications.

One of the most senior policing figures in Wales has warned that the use of facial recognition technology at the country's biggest football derby this weekend could create miscarriages of justice. Arfon Jones, a veteran Welsh police officer and the North Wales police and crime commissioner, has expressed grave concern about the deployment of the surveillance technology at Sunday's clash between Cardiff City and Swansea City. Civil liberties and fan groups have also criticised South Wales police's decision to train cameras on supporters and employ facial recognition on them at the Cardiff City stadium. Jones, who served as a police officer in North Wales for 30 years, described the plans as "disproportionate". He also accused the South Wales force of being engaged in a "fishing expedition where, once again, football fans are being unfairly targeted in a way that supporters of other sports are not".

THE INFORMATION, PRODUCTS, CONTENT AND DATA ON THE SITE ARE PROVIDED "AS IS" AND WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED. WE DO NOT WARRANT THAT THE FUNCTIONS CONTAINED IN INFORMATION, CONTENT AND DATA ON THE SITE (INCLUDING, WITHOUT LIMITATION, DERIVED CONTENT) WILL BE UNINTERRUPTED OR ERROR-FREE, THAT DEFECTS WILL BE CORRECTED, OR THAT THE SITE OR THE SERVERS THAT MAKE SUCH INFORMATION, CONTENT AND DATA AVAILABLE ARE FREE OF VIRUSES OR OTHER HARMFUL COMPONENTS. WE DO NOT WARRANT OR MAKE ANY REPRESENTATIONS REGARDING THE USE OR THE RESULTS OF THE USE OF ANY INFORMATION, CONTENT, DATA, PRODUCTS OR SERVICES CONTAINED ON OR OFFERED, MADE AVAILABLE THROUGH, OR OTHERWISE RELATED IN ANY WAY TO THE SITE, INCLUDING, WITHOUT LIMITATION, DERIVED CONTENT, OR ANY THIRD-PARTY SITES, PRODUCTS OR SERVICES LINKED TO FROM THE SITE IN TERMS OF THEIR CORRECTNESS, ACCURACY, COMPLETENESS, RELIABILITY, SAFETY OR OTHERWISE.

The Trump administration is proposing new federal rules for regulating the use of artificial intelligence (AI) in the private sector, but those regulations do not address concerns about a dearth of accountability as computers increasingly assume human responsibilities in high-risk settings. A White House document said agencies must weigh fairness, lack of bias, openness, transparency, safety, and security in deciding regulatory action. However, the rules will not apply to how federal agencies like law enforcement use AI. U.S. chief technology officer Michael Kratsios said he hopes these guidelines can be a model for other Western democratic institutions to protect shared values without excessive regulation.

The number of patents for inventions based on artificial intelligence, machine learning and deep learning continues to grow rapidly. Some of these inventions relate to AI technology per se, and some relate to the use of AI in specific applications, including many in healthcare, financial services and blockchain, among other industries. The USPTO has addressed various aspects of intellectual property issues with these technologies in various ways, including in an event it hosted entitled "Artificial Intelligence: Intellectual Property Policy Considerations (January 2019)." Due to some of the unique issues with these technologies, the USPTO is considering whether it should make any changes to how it handles examination of these applications. As part of this analysis, the USPTO issued a request for public comments on protection and examination of these inventions.

Federal agencies will soon have to demonstrate that any proposed regulations for artificial intelligence technologies in the private sector abide by a new, "first-of-its-kind" series of 10 principles set forth by the Trump administration this week. In a preview call with reporters Monday and subsequent op-ed in Bloomberg Tuesday morning, U.S. Chief Technology Officer Michael Kratsios and other senior administration officials from the White House Office of Science and Technology detailed the principles proposed to govern the future development and private sector use of AI technologies. The guidelines, published in a draft memorandum Tuesday afternoon, are "a first of their kind--from any government" insiders said, though they also emphasized that the U.S. government's own use of the budding technology is outside the purview of the document. "On its face, the guidance we describe provides agencies with a common sense, pro-innovation approach to deal with various AI regulatory issues," Kratsios said on the call. "As countries around the world grapple with similar questions around the appropriate regulation of AI, [the principles] demonstrate America is leading the way to shape the evolution of AI in a way that reflects our values of freedom, human rights and civil liberties."

The Trump administration is proposing new rules to guide future federal regulation of artificial intelligence used in medicine, transportation and other industries. But the vagueness of the principles announced by the White House is unlikely to satisfy AI watchdogs who have warned of a lack of accountability as computer systems are deployed to take on human roles in high-risk social settings, such as mortgage lending or job recruitment. A document from the White House said that in deciding regulatory action, U.S. agencies "must consider fairness, non-discrimination, openness, transparency, safety, and security." The rules won't affect how federal agencies such as law enforcement use AI; they are specifically limited to how federal agencies devise new AI regulations for the private sector. There's a month-long public comment period before the rules take effect.

Technology is creating ever-changing expectations for people, and Gartner's top predictions for 2020 reflect these new challenges. The predictions were revealed at the Gartner IT Symposium/Xpo 2019 in Orlando, which runs through October 24. More than 9,000 IT leaders and CIO's are in attendance at the conference. "Technology is changing the notion of what it means to be human," said Daryl Plummer, distinguished vice president and Gartner Fellow. "As workers and citizens see technology as an enhancement of their abilities, the human condition changes as well. CIOs in end-user organizations must understand the effects of the change and reset expectations for what technology means."

Paper is an essential commodity for office operations. Most conventional offices rely on paper for completing the simplest tasks. Even after digitization, the dream of a completely paperless office is far from reality. Humans are used to a standard form of note-taking and documentation. Here is how to achieve paperless operations and document automation with AI and ML.

However, she said the new rules won't include parody or satire, or clips edited just to change the order of words. The exceptions underscore the balancing act Facebook and other social media services face in their struggle to stop the spread of online misinformation and "fake news," while also respecting free speech and fending off allegations of censorship.