Tim Keary is a freelance technology reporter at Techopedia. He specializes in covering AI and cybersecurity, exploring how technologies like AI are transforming the world, and has produced over 1,000 articles on these topics. Tim's work has been featured in notable publications including VentureBeat, Fortune, and Forbes.
Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston
Not enough data
Tim Keary's coverage mainly revolves around technology, with a significant emphasis on cybersecurity and artificial intelligence. His focus is notably on emerging trends, product comparisons, and the impact of technological advancements. Therefore, he would likely be interested in pitches that provide insightful analysis or data-driven perspectives on topics such as cutting-edge cybersecurity technologies, AI developments, or open-source software innovations.
Given his extensive use of press releases and citations of data in his articles, Tim may appreciate well-researched pitches supported by relevant statistics or studies to reinforce the credibility of the proposed insights.
While there isn't a specific geographic focus mentioned for Tim's coverage area, it seems that he takes a global view of the tech industry without being restricted to any particular region.
This information evolves through artificial intelligence and human feedback. Improve this profile .
By: Tim Keary
Few words are as controversial among Generation Z as AI. In May, former Google CEO Eric Schmidt was booed at the University of Arizona's graduation
More professionals are using AI, but there is also a growing backlash against formulaic AI content. AI humanizers are emerging as a popular tool, reworking text written by AI so it's more natural and readable. However, using AI humanizers still has significant challenges. Humanizers cannot overcome the fundamental limitation that large language models lack true comprehension. When you use AI, there's also always the possibility of potential inaccuracies and unnatural phrasing. While these tools might make AI content harder to spot, it doesn't offer the same authenticity as original writing. Ultimately, genuine human writing remains crucial for accuracy, authenticity and a truly human voice.
AI humanizers promise to make AI-generated text sound more natural. Learn how they work, why they're popular, and whether they can really evade detection.
A lower price and celebrity backing position Meta against rising competition in smart glasses.
From January to May 2026, more than 13,000 new FIFA World Cup 2026-themed domains were registered with 8.8% of them marked as malicious.
With Prometheus, Jeff Bezos is trying to move A.I. beyond chatbots and into the far messier world of engineering, manufacturing and physical-world data.
The SaaS industry is recovering from an initial "SaaSpocalypse" that erased $1 trillion, with software stocks rebounding 13% and experts citing AI as a significant tailwind. However, AI coding tools present a dual challenge: while they threaten narrow vendors, complex platforms like Salesforce are leveraging AI to enhance products and create "agentic experiences." The ease of "vibe coding" lowers software creation barriers, but established vendors maintain an advantage through robust ecosystems, data, and compliance. High SaaS sprawl is also driving market consolidation, forcing companies to prove tangible value beyond hype. The "buy vs. build" debate is reignited, as AI simplifies initial development, yet long-term maintenance, security, and scalability remain critical factors favoring comprehensive solutions from established providers.
By: Tim Keary
CrowdStrike president Michael Sentonas discusses Anthropic's Claude Mythos and how A.I. could speed up vulnerability discovery and exploitation.
Paul Hawkins created Hawk-Eye in 2001. Now owned by Sony, the tracking technology powers VAR, tennis line calls and goal-line reviews.
Organizations are becoming more cautious over token spend as Gartner predicts AI coding costs will soon surpass average developer salaries due to consumption-based models. The initial trend of "tokenmaxxing" trend, which encouraged high usage, is now being re-evaluated after high-profile incidents, including Uber exhausting its AI budget and Microsoft moving away from Claude Code. Companies are shifting towards more thoughtful consumption, blending premium and cheaper models to increase cost efficiency. However, the complexity of multi-model usage also introduces new risks, such as the increased potential for billing errors.
