Appreciating a flower's texture, color, and shape leads to better drone landings
If you ever saw a honeybee hopping elegantly from flower to flower or avoiding you as you passed by, you may have wondered how such a tiny insect has such perfect navigation skills. These flying insects' skills are partially ...
Phys.org > Computer Sciences
Robot learns fast but safe navigation strategy
A research group from the Active Intelligent System Laboratory (AISL) at Toyohashi University of Technology (TUT) has proposed a new framework for training mobile robots to quickly navigate while maintaining low collision ...
Phys.org > Computer Sciences
Cyber-evolution: How computer science is harnessing the power of Darwinian transformation
From a pair of simple principles of evolution—chance mutation and natural selection—nature has constructed an almost unfathomable richness of life around us. Despite our scientific sophistication, human design and engineering ...
Phys.org > Computer Sciences
A technique that allows robots to estimate the pose of objects by touching them
Humans are able to find objects in their surroundings and detect some of their properties simply by touching them. While this skill is particularly valuable for blind individuals, it can also help people with no visual impairments ...
Phys.org > Computer Sciences
Experts reduce search times for novel high-entropy alloys 13,000-fold using Cuckoo Search
A major roadblock to computational design of high-entropy alloys has been removed, according to scientists at Iowa State University and Lehigh University. Engineers from the Ames Lab and Lehigh University's Department of ...
Phys.org > Computer Sciences
New method makes better predictions of material properties using low quality data
Advancements in energy technologies, healthcare, semiconductors and food production all have one thing in common: they rely on developing new materials—new combinations of atoms—that have specific properties enabling ...
Phys.org > Computer Sciences
New algorithm mimics electrosensing in fish
While humans may struggle to navigate a murky, turbid underwater environment, weakly electric fish can do so with ease. These aquatic animals are specially adapted to traverse obscured waters without relying on vision; instead, ...
Phys.org > Computer Sciences
AI algorithm over 70% accurate at guessing a person's political orientation
A team of researchers at Stanford University has developed an AI algorithm that proved to be slightly over 70% accurate at guessing a person's political affiliation after studying a single photograph. In their paper published ...
Phys.org > Computer Sciences
Evolvable neural units that can mimic the brain's synaptic plasticity
Machine learning techniques are designed to mathematically emulate the functions and structure of neurons and neural networks in the brain. However, biological neurons are very complex, which makes artificially replicating ...
Phys.org > Computer Sciences
Researchers explore how to share data and keep privacy
A new book from researchers at The Australian National University (ANU) outlines how we can improve the way we share sensitive data and preserve people's privacy.
Phys.org > Computer Sciences
Concept whitening: A strategy to improve the interpretability of image recognition models
Over the past decade or so, deep neural networks have achieved very promising results on a variety of tasks, including image recognition tasks. Despite their advantages, these networks are very complex and sophisticated, ...
Phys.org > Computer Sciences
A framework to assess the importance of variables for different predictive models
Two researchers at Duke University have recently devised a useful approach to examine how essential certain variables are for increasing the reliability/accuracy of predictive models. Their paper, published in Nature Machine ...
Phys.org > Computer Sciences
Machine learning accelerates discovery of materials for use in industrial processes
New research led by researchers at the University of Toronto (U of T) and Northwestern University employs machine learning to craft the best building blocks in the assembly of framework materials for use in a targeted application.
Phys.org > Computer Sciences
Tweaking AI software to function like a human brain improves computer's learning ability
Computer-based artificial intelligence can function more like human intelligence when programmed to use a much faster technique for learning new objects, say two neuroscientists who designed such a model that was designed ...
Phys.org > Computer Sciences
We wouldn't be able to control superintelligent machines
We are fascinated by machines that can control cars, compose symphonies, or defeat people at chess, Go, or Jeopardy! While more progress is being made all the time in Artificial Intelligence (AI), some scientists and philosophers ...
Phys.org > Computer Sciences
Accelerating AI computing to the speed of light
Artificial intelligence and machine learning are already an integral part of our everyday lives online. For example, search engines such as Google use intelligent ranking algorithms, and video streaming services such as Netflix ...
Phys.org > Computer Sciences
A model that can create unique Chinese calligraphy art
Over the past few years, computer scientists have developed increasingly advanced and sophisticated artificial intelligence (AI) tools, which can tackle a wide variety of tasks. This includes generative adversarial networks ...
Phys.org > Computer Sciences
A framework to evaluate the cognitive capabilities of machine learning agents
Over the past decade or so, computer scientists have developed machine learning (ML) techniques that perform remarkably well on a variety of tasks. While these algorithms are designed for artificially replicating human cognitive ...
Phys.org > Computer Sciences
Machine learning at the speed of light: New paper demonstrates use of photonic structures for AI
As we enter the next chapter of the digital age, data traffic continues to grow exponentially. To further enhance artificial intelligence and machine learning, computers will need the ability to process vast amounts of data ...
Phys.org > Computer Sciences
Teaching AI agents to type on a Braille keyboard
In recent years, computer scientists have developed artificial intelligence-based techniques that can complete a wide variety of tasks. Some of these techniques are designed to artificially replicate the human senses, particularly ...
Phys.org > Computer Sciences
New module for OpenAI GPT-3 creates unique images from text
A team of researchers at OpenAI, a San Francisco artificial intelligence development company, has added a new module to its GPT-3 autoregressive language model. Called DALL·E, the module excerpts text with multiple characteristics, ...
Phys.org > Computer Sciences
New research shows machine learning could lop a year off technology design cycle
If everything moved 40,000 times faster, you could eat a fresh tomato three minutes after planting a seed. You could fly from New York to L.A. in half a second. And you'd have waited in line at airport security for that flight ...
Phys.org > Computer Sciences
Chitrakar: A system that can transform images of human faces into drawings
Researchers at the TCS Robotics Research Lab in India have recently developed an artificial intelligence (AI) system that can automatically convert an image of a person's face into a recognizable non-self-intersecting loop, ...
Phys.org > Computer Sciences
Researchers compute turbulence with artificial intelligence
For the first time, researchers at ETH Zurich have successfully automated the modeling of turbulence by combining fluid mechanics with artificial intelligence. Their project relies on fusing reinforcement learning algorithms ...
Phys.org > Computer Sciences
Using artificial intelligence to find new uses for existing medications
Scientists have developed a machine-learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.
Phys.org > Computer Sciences
DUAL takes AI to the next level
Scientists at DGIST in Korea, and UC Irvine and UC San Diego in the US, have developed a computer architecture that processes unsupervised machine learning algorithms faster, while consuming significantly less energy than ...
Phys.org > Computer Sciences
DeepMind's MuZero conquers and learns the rules as it does
Albert Einstein once said, "You have to learn the rules of the game, and then you have to play better than anyone else." That could well be the motto at DeepMind, as a new report reveals it has developed a program that can ...
Phys.org > Computer Sciences
Exploring the notion of shortcut learning in deep neural networks
Over the past few years, artificial intelligence (AI) tools, particularly deep neural networks, have achieved remarkable results on a number of tasks. However, recent studies have found that these computational techniques ...
Phys.org > Computer Sciences