New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science. But the way to do it, according to Cameron Seth, a Ph.D. researcher working in the field of algorithmic approximation, is by breaking the problem down into smaller pieces.New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science. But the way to do it, according to Cameron Seth, a Ph.D. researcher working in the field of algorithmic approximation, is by breaking the problem down into smaller pieces.Computer Sciences[#item_full_content]
New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science. But the way to do it, according to Cameron Seth, a Ph.D. researcher working in the field of algorithmic approximation, is by breaking the problem down into smaller pieces.New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science. But the way to do it, according to Cameron Seth, a Ph.D. researcher working in the field of algorithmic approximation, is by breaking the problem down into smaller pieces.[#item_full_content]
Do people respond differently to digital animals compared to real ones?Do people respond differently to digital animals compared to real ones?Business[#item_full_content]
A team of researchers has uncovered what they say is the first reported use of artificial intelligence to direct a hacking campaign in a largely automated fashion.A team of researchers has uncovered what they say is the first reported use of artificial intelligence to direct a hacking campaign in a largely automated fashion.Security[#item_full_content]
Robots could soon be able to autonomously complete search and rescue missions, inspections, complex maintenance operations and various other real-world tasks. To do this, however, they should be able to smoothly navigate unknown and complex environments without breaking down or getting stuck, which would require human intervention.Robots could soon be able to autonomously complete search and rescue missions, inspections, complex maintenance operations and various other real-world tasks. To do this, however, they should be able to smoothly navigate unknown and complex environments without breaking down or getting stuck, which would require human intervention.[#item_full_content]
The Center for the Future of the Legal Profession (CFLP) at UNSW Law & Justice has released a new report on the impacts of generative artificial intelligence (GenAI) in law: “GenAI, Fake Law & Fallout: A review of the misuse of generative artificial intelligence in legal proceedings.”The Center for the Future of the Legal Profession (CFLP) at UNSW Law & Justice has released a new report on the impacts of generative artificial intelligence (GenAI) in law: “GenAI, Fake Law & Fallout: A review of the misuse of generative artificial intelligence in legal proceedings.”Business[#item_full_content]
Researchers at Aalto University have demonstrated single-shot tensor computing at the speed of light, a remarkable step towards next-generation artificial general intelligence hardware powered by optical computation rather than electronics.Researchers at Aalto University have demonstrated single-shot tensor computing at the speed of light, a remarkable step towards next-generation artificial general intelligence hardware powered by optical computation rather than electronics.Hi Tech & Innovation[#item_full_content]
A pair of swiveling, human-like robotic arms, built for physical artificial intelligence research, mirror the motions of an operator in a VR headset twirling his hands like a magician.A pair of swiveling, human-like robotic arms, built for physical artificial intelligence research, mirror the motions of an operator in a VR headset twirling his hands like a magician.Robotics[#item_full_content]
When it comes to navigating their surroundings, machines have a natural disadvantage compared to humans. To help hone the visual perception abilities they need to understand the world, researchers have developed a novel training dataset for improving spatial awareness in robots.When it comes to navigating their surroundings, machines have a natural disadvantage compared to humans. To help hone the visual perception abilities they need to understand the world, researchers have developed a novel training dataset for improving spatial awareness in robots.[#item_full_content]
When it comes to navigating their surroundings, machines have a natural disadvantage compared to humans. To help hone the visual perception abilities they need to understand the world, researchers have developed a novel training dataset for improving spatial awareness in robots.When it comes to navigating their surroundings, machines have a natural disadvantage compared to humans. To help hone the visual perception abilities they need to understand the world, researchers have developed a novel training dataset for improving spatial awareness in robots.Robotics[#item_full_content]
