epp
AI rules: what the European Parliament wants
Parliament is working on the Commission proposal, presented on 21 April 2021, for turning Europe into the global hub for trustworthy AI. Ahead of the Commission's proposal on AI, the Parliament set up a special committee to analyse the impact of artificial intelligence on the EU economy. "Europe needs to develop AI that is trustworthy, eliminates biases and discrimination, and serves the common good, while ensuring business and industry thrive and generate economic prosperity," said the new committee chair Dragoș Tudorache. On 20 October 2020, Parliament adopted three reports outlining how the EU can best regulate AI while boosting innovation, ethical standards and trust in technology. One of the reports focuses on how to ensure safety, transparency and accountability, prevent bias and discrimination, foster social and environmental responsibility, and ensure respect for fundamental rights.
Top Endpoint Protection Platforms (EPP) 2021
To improve their cybersecurity, many organizations are turning to endpoint services like endpoint protection platforms (EPP) to keep their networks safe. As employees continue to work remotely, a company's number of endpoints grows and they become more vulnerable. Hackers can use smartphones, laptops, and even printers to access company data. To help you protect your network, we've provided a list of the top endpoint protection platforms for 2021. McAfee Endpoint Security prevents malware and breaches with antivirus protection, behavioral analysis, and robust firewalls.
Extended Property Paths: Writing More SPARQL Queries in a Succinct Way
Fionda, Valeria (University of Calabria) | Pirrò, Giuseppe (University of Koblenz-Landau) | Consens, Mariano P. (University of Torornto)
We introduce Extended Property Paths (EPPs), a significant enhancement of SPARQL property paths. EPPs allow to capture in a succinct way a larger class of navigational queries than property paths. We present the syntax and formal semantics of EPPs and introduce two different evaluation strategies. The first is based on an algorithm implemented in a custom query processor. The second strategy leverages a translation algorithm of EPPs into SPARQL queries that can be executed on existing SPARQL processors. We compare the two evaluation strategies on real data to highlight their pros and cons.