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NEW

Why Fear of AI Persists Despite Technological Advances

The fear of AI persists because it taps into deep-seated anxieties about job loss, ethical risks, and the unknown. Despite AI’s potential to boost productivity, many people and organizations remain hesitant, often citing historical patterns where technological shifts caused both progress and…
Thumbnail Image of Tutorial Why Fear of AI Persists Despite Technological Advances
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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Voice-Enabled AI Agents Using PSTN

Voice-enabled AI agents using PSTN eliminate friction in human-AI interaction by using the universal reach of traditional phone lines. With the global voice-AI market projected to grow 34.8% annually-reaching $47.5 billion by 2034-businesses adopting this technology gain a competitive edge. These…
Thumbnail Image of Tutorial Voice-Enabled AI Agents Using PSTN
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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NEW

Hierarchical Task Network Planning with Multi Agent Deep RL

Watch: Multi-Agent Hide and Seek by OpenAI Hierarchical Task Network (HTN) Planning with Multi-Agent Deep Reinforcement Learning (MARL) addresses critical limitations in complex decision-making systems. By integrating symbolic planning with deep learning, HTN frameworks reduce exploration…
Thumbnail Image of Tutorial Hierarchical Task Network Planning with Multi Agent Deep RL
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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NEW

Why LLM‑Generated Variables Aren’t Real Observations

Understanding the difference between LLM-generated variables and real observations is critical for ensuring the validity of AI models. LLMs produce synthetic data that often fails to replicate the statistical patterns of real-world populations, leading to flawed inferences. For example, a 2026…
Thumbnail Image of Tutorial Why LLM‑Generated Variables Aren’t Real Observations
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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    NEW

    AI Bootcamp Success: Fine-Tuning Instructions for Real-World Application Development

    Watch: Prompt Engineering by Thinking Neuron Key Highlights AI bootcamp success is no longer a niche pursuit-it’s a strategic investment with measurable returns for individuals and industries. The global AI market is projected to exceed $1.81 trillion by 2030, driven by businesses adopting…
    Thumbnail Image of Tutorial AI Bootcamp Success: Fine-Tuning Instructions for Real-World Application Development
    Image of Author Dr. Dipen
    Dr. Dipen
    I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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