The travel and tourism sector has become a prime focus for cyberattacks in recent times, resulting in ransomware incidents arising from data breaches. Against this backdrop, cybersecurity concerns within the industry have escalated with a 4 pc year-on-year (YoY) rise in 2022, reflecting the prevailing sentiment, says GlobalData, a leading data and analytics company.
In its report, Company Filing Analytics Database, GlobalData says that sentiment for airlines, travel services, and lodging rose by 6 pc, 4 pc, and 1 pc, respectively, in 2022 over 2021.
“Companies are consistently working on information and network security projects to set up a reliable technical protection and security management mechanism to ensure customer security and prevent data leakage. A severe data security incident can lead to operational disturbances and cause significant financial damage to the business,” says Misa Singh, Business Fundamentals Analyst at GlobalData.
Malicious loader programs capable of trojanizing Android applications are being traded on the criminal underground for up to $20,000 as a way to evade Google Play Store defenses.
“The most popular application categories to hide malware and unwanted software include cryptocurrency trackers, financial apps, QR-code scanners, and even dating apps,” Kaspersky said in a new report based on messages posted on online forums between 2019 and 2023.
Dropper apps are the primary means for threat actors looking to sneak malware via the Google Play Store. Such apps often masquerade as seemingly innocuous apps, with malicious updates introduced upon clearing the review process and the applications have amassed a significant user base.
While much-debated AI tools will not automate or elevate every digital assault, phishing scheme or hunt for software exploits, NSA’s Rob Joyce said April 11, what it will do is “optimize” workflows and deception in an already fast-paced environment.
“Is it going to replace hackers and be this super-AI hacking? Certainly not in the near term,” Joyce said at an event hosted by the Center for Strategic and International Studies think tank. “But it will make the hackers that use AI much more effective, and they will operate better than those who don’t.”
U.S. officials consider mastery of AI critical to long-term international competitiveness — whether that’s in defense, finance or another sector. At least 685 AI projects, including several tied to major weapons systems, were underway at the Pentagon as of early 2021.
US banks are slamming the doors on innocent customers with zero notice, according to a new report.
Supposedly suspicious activity is triggering abrupt account closures, leading to customers to discover something is wrong then they try to spend their money, reports the New York Times.
One such member of Chase named Naafeh Dhillon tried to pay for dinner in December and had both his credit and debit cards declined.
CNBC’s Eunice Yoon reports on news that Alibaba is releasing a chatbot similar to ChatGPT. For access to live and exclusive video from CNBC subscribe to CNBC PRO: https://cnb.cx/2NGeIvi.
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Schmidt thinks that if the AI sector doesn’t create protections, politicians will have to step in.
Eric Schmidt, the former CEO of Google, has spoken out against the six-month ban on AI development that some tech celebrities and business executives demanded earlier.
“I’m not in favor of a six-month pause, because it will simply benefit China,” said Schmidt, Google’s first CEO.
Wikimedia Commons.
A halt supported by tech leaders like Elon Musk and Steve Wozniak, would “simply benefit China,” the former Google CEO told the Australian Financial Review on Thursday.
DISCLAIMER: This video is not medical, financial, or legal advice. This is just my personal story and research findings. Always consult a licensed professional.
Large Language Models have rapidly gained enormous popularity by their extraordinary capabilities in Natural Language Processing and Natural Language Understanding. The recent model which has been in the headlines is the well-known ChatGPT. Developed by OpenAI, this model is famous for imitating humans for having realistic conversations and does everything from question answering and content generation to code completion, machine translation, and text summarization.
ChatGPT comes with censorship compliance and certain safety rules that don’t let it generate any harmful or offensive content. A new language model called FreedomGPT has recently been introduced, which is quite similar to ChatGPT but doesn’t have any restrictions on the data it generates. Developed by the Age of AI, which is an Austin-based AI venture capital firm, FreedomGPT answers questions free from any censorship or safety filters.
FreedomGPT has been built on Alpaca, which is an open-source model fine-tuned from the LLaMA 7B model on 52K instruction-following demonstrations released by Stanford University researchers. FreedomGPT uses the distinguishable features of Alpaca as Alpaca is comparatively more accessible and customizable compared to other AI models. ChatGPT follows OpenAI’s usage policies which restrict categories like hate, self-harm, threats, violence, sexual content, etc. Unlike ChatGPT, FreedomGPT answers questions without bias or partiality and doesn’t hesitate to answer controversial or argumentative topics.
Data has emerged as one of the world’s greatest resources, underpinning everything from video-recommendation engines and digital banking, to the burgeoning AI revolution. But in a world where data has become increasingly distributed across locations, from databases to data warehouses to data lakes and beyond, combining it all into a compatible format for use in real-time scenarios can be a mammoth undertaking.
For context, applications that don’t require instant, real-time data access can simply combine and process data in batches at fixed intervals. This so-called “batch data processing” can be useful for things like processing monthly sales data. But often, a company will need real-time access to data as it’s created, and this might be pivotal for customer support software that relies on current information about each and every sale, for example.
Elsewhere, ride-hail apps also need to process all manner of data points in order to connect a rider with a driver — this isn’t something that can wait a few days. These kinds of scenarios require what is known as “stream data processing,” where data is collected and combined for real-time access, which is far more complex to configure.
