WASHINGTON, Dec. 17, 2025 /PRNewswire/ -- New data from the 2025 Monitoring the Future Survey indicating use of most drugs remains low among U.S. teens and the number of youth choosing to abstain from ...
Brands are always looking for new audiences and using trends can help you find that new audience. Here we talk about successful ways brands and influencers can reach out to new niche consumers and ...
Welcome to Fantrax’s NHL usage trends for December 12th — a tactical breakdown of deployment trends that matter. We’re spotlighting key ice time changes, power play promotions, and line shakeups that ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Artificial intelligence chatbots are no longer a novelty for U.S. teenagers. They’re a habit. A new Pew Research Center survey of 1,458 teens between the ages of 13 and 17 found that 64 percent have ...
Random access memory, or RAM, is in just about every piece of technology we use. But it’s also the technology that AI companies like OpenAI, Anthropic, Google, and Meta are using to power the servers ...
The price of eggs has nothing on the price of computer memory right now. Thanks to a supply crunch from the “AI” bubble, RAM chips are the new gold, with prices on consumer PC memory kits ballooning ...
You may underestimate how frequently you look at your device, and you may be paying a price with more attention and memory lapses. For many of us, checking our phones has probably become an ...
The data confirms that YouTube and Facebook remain the two main social media platforms among US adults, with 84% using YouTube and 71% using Facebook. Instagram is the only other platform with use by ...
To better understand which social media platforms Americans use, Pew Research Center surveyed 5,022 U.S. adults from Feb. 5 to June 18, 2025. SSRS conducted this National Public Opinion Reference ...
The Postgres source connector calculates JDBC fetchSize as 60% of JVM heap memory, causing unpredictable OOM errors, especially when tables contain rows of widely varying sizes, which we're ...
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