Everything AI, Robotics, and IoT
The editorial team at Artificial Intelligence + is composed of experts in AI, IoT, and Robotics, committed to examining the powerful influence of these technologies on our world. We explore how AI is set to drive transformational change across industries, reshaping business operations, daily life, and even society at large. Through in-depth articles and insightful analysis, we discuss AI’s societal impact, advancements, challenges, and the broader implications of AI and IoT. Our mission is to keep readers informed and ready for the future shaped by AI-driven innovation.
Why it matters: Is deep learning supervised or unsupervised? Deep learning can be supervised, unsupervised, semi-supervised, self-supervised, or reinforcement based, and it depends mostly on what the use case is and how one plans to use the neural network.
Why it matters: Is it possible to make an AI like Cortana (From Halo)? Yes, this is possible with the advancements in AI, and Robotics.
Why it matters: As the capabilities of artificial intelligence technology grow and predictive policing becomes more of a reality, community trust also needs to grow.
Why it matters: What is Deep Learning? Is it the Same as AI? Deep learning is a subset of machine learning which is a subset for Artificial Intelligence.
Why it matters: Automation vs AI: What is the Difference, Why is It Important? Automation vs AI Automation and Artificial Intelligence are often used interchangeably, but there are differences between the two.
Why it matters: How is AI Being Used to Change Higher Education? A new generation of innovations, such as VR, and other innovations will improve learning.
Why it matters: How to Use Linear Regression in Machine Learning? In the field of statistics and machine learning, linear regression is probably one of the most well-known and well-understood algorithms.
Why it matters: Which Companies Use Drone Delivery? As drone delivery facilities grow, companies are currently experiencing challenging seamless delivery processes.
Why it matters: What is Argmax in Machine Learning? In applied machine learning, you may encounter Argmax as a mathematical function.
Why it matters: What Are Word Embeddings? They are one of the most commonly used techniques in natural language processes and are used for NLP tasks like sentimental analysis, and Q&A.