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1 week ago | 
techrepublic.com | Megan Crouse |Aerospace Electronics
Popularity consolidated in the top 20 programming languages in April, according to TIOBE Software CEO Paul Jansen. C overtook Java for the number three spot between March and April. Key takeaways from the April TIOBE Index rankings:SQL continues to fall as it has done over the last few months, dropping to the number 10 position. C++ held on to the number two spot, showing a significant year-over-year increase in the proprietary points system.
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2 weeks ago | 
techrepublic.com | Megan Crouse |Aerospace Electronics
Microsoft’s Patch Tuesday security update for April included 134 flaws, one of which is an actively exploited zero-day flaw. The security patches for Windows 10 were unavailable when the Windows 11 patches were released. The Windows 10 patches have since arrived, but the delay was unusual.
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2 weeks ago | 
techrepublic.com | Megan Crouse |Aerospace Electronics
The AI industry is undergoing a complex and transitional period, according to Stanford University’s 2025 AI Index, published by the Institute for Human-Centered AI. While AI continues to transform the tech sector, public sentiment remains mixed, underscoring the rapidly shifting nature of the field. Below are key takeaways from Stanford’s latest findings on the current state of artificial intelligence — both generative and not generative. Investment in AI increasesInvestment in AI is growing.
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3 weeks ago | 
techrepublic.com | Megan Crouse |Aerospace Electronics
Intel CEO Lip-Bu Tan. Image: Intel Business/YouTubeIntel will spin off assets that aren’t part of its core mission, according to Bloomberg. Intel CEO Lip-Bu Tan, who became CEO in mid-March after Pat Gelsinger took a heavily encouraged suggestion to retire, made the announcement on March 31 at the Intel Vision conference. Tan did not define the core business or which parts of the business would be affected. Intel will try to expand its core business using AI and Software 2.0, Tan said.
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3 weeks ago | 
techrepublic.com | Megan Crouse |Aerospace Electronics
Image credit: Creative CommonsDevelopers have the opportunity to weigh in on OpenAI’s latest project. On March 31, the AI giant published applications for feedback sessions on an upcoming open language model, the second such model since OpenAI’s LLMs went private after GPT-2. It will be released “in the coming months,” according to a post on X by OpenAI CEO Sam Altman. Open-weight models can be modified by their users.
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3 weeks ago | 
eweek.com | Megan Crouse |Aerospace Electronics
Job searching has never been fun, but a stream of AI-generated job listings and applicant tools has made it even harder. According to a Washington Post report, both employers and job seekers report disorientation and mistrust in the process despite AI tools being marketed as making the process faster and more straightforward. Employers deal with a flood of applications that could include deepfakes.
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3 weeks ago | 
techrepublic.com | Megan Crouse |Aerospace Electronics
It can be difficult to determine how generative AI arrives at its output. On March 27, Anthropic published a blog post introducing a tool for looking inside a large language model to follow its behavior, seeking to answer questions such as what language its model Claude “thinks” in, whether the model plans ahead or predicts one word at a time, and whether the AI’s own explanations of its reasoning actually reflect what’s happening under the hood.
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3 weeks ago | 
techrepublic.com | Megan Crouse |Aerospace Electronics
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4 weeks ago | 
techrepublic.com | Megan Crouse |Aerospace Electronics
Security engineer was the most common title in cybersecurity job listings in 2024, according to security and IT workforce management platform provider CyberSN. Its report “U.S. Cybersecurity Job Posting Data” was created by pulling together job postings from 30 major job boards and Fortune 500 companies’ job boards between January 2022 and December 2024. The report shows which roles are growing, which are decreasing in demand, and other hiring trends.
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4 weeks ago | 
eweek.com | Megan Crouse |Aerospace Electronics
The source code for AlexNet, a key network in the development of the artificial neural nets that enabled modern AI, is now open source. Researchers can explore it at the Computer History Museum’s GitHub page. The source code for AlexNet is publicly available now in part because Computer History Museum curator Hansen Hsu reached out to its creator Alex Krizhevsky, citing the code’s “historical significance.” Securing the code required five years of negotiation with Google.
