The rapid spread of misinformation, further amplified by recent advances in generative AI, poses significant threats to society, impacting public opinion, democratic stability, and national security. Understanding and proactively assessing these threats requires exploring methodologies that enable structured and scalable misinformation generation. In this paper, we propose a novel approach that leverages knowledge graphs (KGs) as structured semantic resources to systematically generate fake triplets. By analyzing the structural properties of KGs, such as the distance between entities and their predicates, we identify plausibly false relationships. These triplets are then used to guide large language models (LLMs) in generating misinformation statements with varying degrees of credibility. By utilizing structured semantic relationships, our deterministic approach produces misinformation inherently challenging for humans to detect, drawing exclusively upon publicly available KGs (e.g., WikiGraphs). Additionally, we investigate the effectiveness of LLMs in distinguishing between genuine and artificially generated misinformation. Our analysis highlights significant limitations in current LLM-based detection methods, underscoring the necessity for enhanced detection strategies and a deeper exploration of inherent biases in generative models.

Yet, difficulty successfully deploying generative AI continues to hamper progress. Companies know that generative AI could transform their businesses--and that failing to adopt will leave them behind--but they are faced with hurdles during implementation. This leaves two-thirds of business leaders dissatisfied with progress on their AI deployments. And while, in Q3 2023, 79% of companies said they planned to deploy generative AI projects in the next year, only 5% reported having use cases in production in May 2024. "We're just at the beginning of figuring out how to productize AI deployment and make it cost effective," says Rowan Trollope, CEO of Redis, a maker of real-time data platforms and AI accelerators.

Call center software provider Five9 Inc. has come up a winner yet again, comfortably beating Wall Street's targets with its third-quarter financial results and delivering strong guidance on top of that. The company reported a profit before certain costs such as stock compensation of 27 cents per share on revenue of $112 million, up 34% from a year ago. That was well ahead of Wall Street's forecast of 18 cents per share in earnings and $101 million in revenue. Five9 sells cloud-based contact center software and services for enterprises that enable them to keep track of and manage their interactions with customers. Its software covers traditional phone calls, as well as video calling services, emails and social media interactions.

Almost every organization is evaluating how technologies such as AI can improve their business. In many ways, the business goals for AI adoption haven't changed for decades. Companies want to improve their customer experience, make processes more efficient and deliver actionable insights to their employees. Fortunately, the computing landscape evolved in ways that allow companies to realize these goals. Cloud computing offers of scalable, low-cost computing that provides a foundation for storage, analytics and AI Cloud computing providers also added toolkits and pre-trained cloud-resident machine learning models.

VID Cisco will shortly give the world a voice assistant it believes has a shot at making life uncomfortable for Siri, Cortana and Alexa in the office. The company's effort won't be a general-purpose bot. Instead the company plans to make it a part of its Spark collaboration portfolio and have it do things like place calls, find documents and open meetings. The assistant was announced in November 2017, but The Reg today beheld a live demo of the tool at Cisco Live in Melbourne. Forgive us the shot-on-a-phone handheld footage, but here's what Cisco feels is fit for public consumption.

Saudi Gazette A world without smartphones, passwords, and flying cars might seem like a sci-fi movie but it's not very far off and might come into reality "in a blink", according to predictions made by leading networking company Cisco that considers itself shaping the Internet since the 1980's. One prediction is that by 2027, texting by thinking will be a form of communication. Dubai's plans to launch the first self-driving drone taxi in a couple of years from now aims to lead the way to flying automobiles. Complete simulations by the human brain will be possible before the 2030's where new jobs will be common such as avatar manager, body part maker, climate change reversal specialist and nano medic, to name a few. The 2040's will look dramatically different when the average home PC will have the computing power of one billion brains, virtual telepathy will dominate telecommunications and artificial intelligence could become smarter than humans.

What if your collaboration tools could actually understand the context of your words and deliver you what you really want, and not just web search results? What if it was like having another person in your office and not just a computer? Cisco Systems is aiming to answer that, in part through a $125 million acquisition of AI company MindMeld, which it announced last month. Cisco wants to incorporate MindMeld's AI platform into its collaboration products, because the tech allows users to build intelligent and human-like conversational interfaces for any application or device. AI-enhanced collaboration tools have the potential to increase efficiency, speed up the discovery of new ideas and lead to improved outcomes for teams that are working together in disparate locations.

Over 27,000 attendees gathered this week in Las Vegas at Cisco Live 2017 to hear the latest news, expert insights and learn about the company's future direction. Here are the top stories that came out of the event. During a Facebook Live Q&A session, Rowan Trollope, senior VP and general manager of Cisco IoT and Applications, was asked about the future of Spark and artificial intelligence. "We think every meeting should have an assistant taking notes, but we can't always have that [and that's where AI comes in]," Trollope replied. "We're moving down the path of having AI assistants show up in our meeting and Spark messaging. This will make it possible to have the bots taking notes and intelligently schedule things," He said.

The networking technology company said Thursday that it plans to buy MindMeld, a startup specializing in artificial intelligence, for $125 million. The deal is expected to close in early 2017. MindMeld, founded in 2011, builds software tools for coders to create chat bots that can recognize and respond to human voices. Music-streaming service Spotify, for example, has experimented with MindMeld's technology for people to search and play songs by talking to their smartphones. Considering MindMeld has roughly 20 employees based on the company's website, it's likely Cisco is buying the startup for its workers.

On Thursday, Facebook launched a new digital assistant named "M" that works within Messenger for users in the US. It includes artificial intelligence (AI) to make suggestions to users. M launched in 2015, and was tested on a small percentage of users, and it has now been expanded to all iOS and Android users in the US and will eventually roll out to other countries. There are 1 billion Facebook Messenger users monthly. There is already competition among AI-powered digital assistants, with Google's Allo messaging app, and the upcoming Galaxy S8 including a Samsung-developed digital assistant named Bixby.