Global 5G Connections Pass Two Billion
Despite the post-hype disillusionment that always accompanies a new technology, the global number of 5G users accelerated in the third quarter, adding more than 170 million 5G connections, according to […]
Verizon, NVIDIA to Deploy AI Over 5G Private Networks
Verizon and NVIDIA have developed a solution that enables AI applications to run over Verizon’s 5G private network with Mobile Edge Compute (MEC). according to a press release from the […]
Unlocking AI Explainability for Trustworthy Healthcare
Headline: AI should augment, not replace, human provider expertise. Article: Would you blindly trust AI to make important decisions with personal, financial, safety, or security ramifications? Like most people, the answer […]
Arkansas Will Open BEAD Application Window January 7
Headline: Arkansas will open and accept Main Round applications from January 7 to January 21.Article: The Arkansas State Broadband Office is administering the process. Arkansas BEAD applications must be submitted to […]
Global Broadband Development: Using Ookla Data to Bridge the Digital Divide
Headline: The global digital divide continues to widen.Article: While nearly a quarter of consumer broadband subscribers in developed markets now use gigabit plans – projected to reach 50% by 2029 […]
The Distinction Between Language Models (LLMs) and Large Quantitative Models (LQMs): Their Role in AI
As Artificial Intelligence (AI) becomes a cornerstone of modern innovation, understanding the differences between Language Models (LLMs) and Large Quantitative Models (LQMs) is critical. These models serve distinct yet complementary purposes in AI development, shaping how we interact with and rely on technology across industries.
How Concerned Should We Be About AI’s Accuracy?
Artificial Intelligence (AI) has quickly become a pervasive force in modern life, influencing industries from healthcare to education. However, as contractors and professionals increasingly rely on AI systems like Gemini for decision-making and analysis, concerns about the accuracy of its outputs have escalated. Are we ready to trust AI—and at what cost?
