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

Machine learning (ML) may assist human decision-makers in high-risk situations. For example, an ML model might forecast which law school applicants have the greatest chances of passing the bar exam and help an admissions officer choose which students should be admitted. Some even found out that ML systems could detect

Although machine learning (ML) has helped make blood cell counts more accurate and less costly, it has nevertheless been time-consuming because of the need for a lot of manual annotation by humans to train the model. Researchers at Benihang University, on the other hand, have developed a new training method

A new research collaboration between China and the US offers a way of detecting malicious ecommerce reviews designed to undermine competitors or facilitate blackmail by leveraging the signature behavior of such reviewers. Machine learning algorithm has managed to detect PMUs The paper describes how a system called the malicious user

A new study discovers that an undetectable backdoor may be inserted into any machine learning algorithm, giving a cybercriminal unrestricted access and the ability to modify any of the data. The source of serious vulnerabilities may be outsourcing machine learning training vendors. Learning from experiences is something people and animals