A leading expert in machine learning started a new discussion over the meaning of AI and ML technologies. While science-fiction debates about AI are “fun,” according to Michael I. Jordan, a professor in the department of electrical engineering and computer science and department of statistics at the University of California,

Today we are delving into what is linear regression in machine learning. Linear regression is both a statistical and a machine learning algorithm. Linear regression analysis estimates the value of one variable relative to the value of another. Linear regression is frequently used in statistical data analysis. Most machine learning

Is it feasible to build a computer with a sense of taste? In response to this question, IBM Research scientists developed HyperTaste, a chemical taste sensing tool. It performs analyses and detects the chemical composition of liquids using its “electronic tongue” status. Can computers have a sense of taste? “HyperTaste

Let’s delve into the machine learning benefits and drawbacks. Many job titles are included in machine learning, including business managers, data scientists, and DevOps engineers. A good grasp of the machine learning lifecycle will assist you in correctly allocating resources and determining where you stand in it. Don’t worry; machine learning benefits will

Opposable thumbs have played an essential role in the evolution of our species. However, if evolution had given us two additional thumbs, things would not be much different. A single thumb on each hand is sufficient. But not for neural networks, the most sophisticated AI technologies for performing human-like activities,

The curse of dimensionality comes into play when we deal with a lot of data having many dimensions or features. The dimension of the data is the number of characteristics or columns in a dataset. High-dimensional data has several challenges, the most notable of which is that it becomes extremely

A new method that employs artificial intelligence (AI) and machine learning (ML) to enhance wildfire forecasts has been developed by scientists at the National Center for Atmospheric Research (NCAR). The approach aids in the timely updating of vegetation maps, which are utilized by fire computer modeling algorithms to predict spreading

Deep learning (DL) is the discipline of artificial intelligence (AI) that focuses on intelligent machines’ learning and comprehension ability. Deep learning models are designed inspired by the structure and working principle of the human brain. DL is a critical technology that makes intuitive autonomous systems a reality and generally aims

An algorithmic planner developed by a team at Carnegie Mellon University’s Robotics Institute (RI) can aid in delegating tasks to humans and robots. The planner, named “Act, Delegate, or Learn,” considers a list of activities before determining the best method to distribute them. The algorithmic planner can aid in delegating

A recent research from MIT Lincoln Laboratory and Northeastern University has investigated the savings that can be made by power capping GPUs used in model training and inference and several different methods to reduce AI energy use in light of growing concern over huge machine learning models’ energy demands. Power