As we enter a new era where technologies powered by artificial intelligence can craft and manipulate images with a precision that blurs the line between reality and fabrication, the specter of misuse looms large.As we enter a new era where technologies powered by artificial intelligence can craft and manipulate images with a precision that blurs the line between reality and fabrication, the specter of misuse looms large.Security[#item_full_content]
Algorithms underpin large and small decisions on a massive scale every day: who gets screened for diseases like diabetes, who receives a kidney transplant, how police resources are allocated, who sees ads for housing or employment, how recidivism rates are calculated, and so on. Under the right circumstances, algorithms—procedures used for solving a problem or performing a computation—can improve the efficiency and equity of human decision-making.Algorithms underpin large and small decisions on a massive scale every day: who gets screened for diseases like diabetes, who receives a kidney transplant, how police resources are allocated, who sees ads for housing or employment, how recidivism rates are calculated, and so on. Under the right circumstances, algorithms—procedures used for solving a problem or performing a computation—can improve the efficiency and equity of human decision-making.[#item_full_content]
People solve new problems readily without any special training or practice by comparing them to familiar problems and extending the solution to the new problem. That process, known as analogical reasoning, has long been thought to be a uniquely human ability.People solve new problems readily without any special training or practice by comparing them to familiar problems and extending the solution to the new problem. That process, known as analogical reasoning, has long been thought to be a uniquely human ability.[#item_full_content]
People solve new problems readily without any special training or practice by comparing them to familiar problems and extending the solution to the new problem. That process, known as analogical reasoning, has long been thought to be a uniquely human ability.People solve new problems readily without any special training or practice by comparing them to familiar problems and extending the solution to the new problem. That process, known as analogical reasoning, has long been thought to be a uniquely human ability.Computer Sciences[#item_full_content]
Edge computing applications, which entail the processing and storage of data at the source of its production (i.e., near where it is created), is now being applied to a growing number of technologies. The application of edge computing translates into devices that can collect, store and process data, such as smart watches, computers that analyze utility grid data, computerized security technologies, and other systems.Edge computing applications, which entail the processing and storage of data at the source of its production (i.e., near where it is created), is now being applied to a growing number of technologies. The application of edge computing translates into devices that can collect, store and process data, such as smart watches, computers that analyze utility grid data, computerized security technologies, and other systems.Security[#item_full_content]
Model checking is one of the most successful computer science achievements in the last few decades. This is why Edmund M. Clarke, E. Allen Emerson, and Joseph Sifakis were honored with the 2007 A.M. Turing Award for their role in developing model checking into a highly effective verification technology.Model checking is one of the most successful computer science achievements in the last few decades. This is why Edmund M. Clarke, E. Allen Emerson, and Joseph Sifakis were honored with the 2007 A.M. Turing Award for their role in developing model checking into a highly effective verification technology.[#item_full_content]
A research team has shown for the first time that reinforcement learning—i.e., a neural network that learns the best action to perform at each moment based on a series of rewards—allows autonomous vehicles and underwater robots to locate and carefully track marine objects and animals.A research team has shown for the first time that reinforcement learning—i.e., a neural network that learns the best action to perform at each moment based on a series of rewards—allows autonomous vehicles and underwater robots to locate and carefully track marine objects and animals.Robotics[#item_full_content]
A research team has shown for the first time that reinforcement learning—i.e., a neural network that learns the best action to perform at each moment based on a series of rewards—allows autonomous vehicles and underwater robots to locate and carefully track marine objects and animals.A research team has shown for the first time that reinforcement learning—i.e., a neural network that learns the best action to perform at each moment based on a series of rewards—allows autonomous vehicles and underwater robots to locate and carefully track marine objects and animals.[#item_full_content]
For the first time, researchers have trained a machine learning model in outer space, on board a satellite. This achievement could enable real-time monitoring and decision making for a range of applications, from disaster management to deforestation.For the first time, researchers have trained a machine learning model in outer space, on board a satellite. This achievement could enable real-time monitoring and decision making for a range of applications, from disaster management to deforestation.Hi Tech & Innovation[#item_full_content]
ChatGPT has made headlines around the world with its ability to write well-done essays, emails, and computer code based on a few questions from a user.ChatGPT has made headlines around the world with its ability to write well-done essays, emails, and computer code based on a few questions from a user.Hi Tech & Innovation[#item_full_content]
