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A new ML model improves wildfire forecasts
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

Schneider Electric research: The sector professionals don’t meet their IT sustainability promises
According to research conducted by data center energy management firm Schneider Electric, many parts of the IT industry are having difficulty reconciling their words with their behaviors regarding addressing sustainability. The companies are trying to keep their IT sustainability statements in line with their actions The company reached out to

Neural network-based visual stimuli classification paves the way for early Alzheimer’s diagnosis
One of the most serious difficulties with Alzheimer’s disease is that it is seldom noticed early on when it may be addressed better. Now, a team of researchers at Kaunas University of Technology (KTU) has begun researching how human-computer interfaces might be modified for people with neurologic problems to identify

Creating a human-like AI with metamemory skills is possible, a study finds
A computer-based evolution strategy employed by a research group from Nagoya University’s Graduate School of Informatics has made a considerable step toward creating a human-like AI with metamemory skills. Human-like AI can be provided with metamemory skills In recent years, significant progress has been made in developing artificial intelligence technology

Researchers developed an algorithmic planner for allocating tasks to humans and robots
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

Study: Dealing with increasing power needs of ML
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

ML models’ estimates may be less accurate for disadvantaged subgroups, an MIT study finds
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

A “tech NATO” is needed to guard cyber borders, according to Darktrace CEO
Poppy Gustafsson, the CEO of AI cybersecurity company Darktrace, has suggested the formation of a “tech NATO” to combat increasing cybersecurity dangers. Gustafsson discussed the changing cyber threat landscape during a Wednesday speech at the Royal United Services Institute (RUSI). The aggressive expansion of Russia into Ukraine has prompted a

Dutch police use deepfakes to solve a crime
The Dutch police have utilized a deepfakes video to appeal for information on the 2003 murder of a young boy. According to authorities in Rotterdam, it is a “world-first” inquiry using artificially altered video. What are deepfakes? A deepfake is a form of artificial intelligence that may be used to

Roboticists pushed an off road car to the limits to gather data for self-driving ATVs
Roboticists from Carnegie Mellon University pushed the limits of an all-terrain vehicle equipped with sensors to gather data for future self-driving ATVs. At speeds of up to 30 miles per hour, they pushed the heavily instrumented ATV across rough ground and cleared obstacles. They slid through turns, ascended and descended