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Artificial Intelligence News. Everything on AI including futuristic robots with artificial intelligence, computer models of human intelligence and more.
Updated: 19 hours 26 min ago
In recent years, computers have gotten remarkably good at recognizing speech and images: Think of the dictation software on most cellphones, or the algorithms that automatically identify people in photos posted to Facebook. But recognition of natural sounds has lagged behind. That's because most automated recognition systems, whether they process audio or visual information, are the result of machine learning, in which computers search for patterns in huge compendia of training data, say investigators.
MusicNet is the first publicly available large-scale classical music dataset designed to allow machine learning algorithms to tackle a wide range of open challenges -- from automated music transcription to listening recommendations based on the structure of music itself.
Children may learn new words using the same method as robots. New research suggests that early learning is based not on conscious thought but on an automatic ability to associate objects, which enables babies to quickly make sense of their environment.
Computer chips in development could make future computers more efficient and powerful by combining tasks usually kept separate by design, report investigators.
Do you always get 'shot' playing computer games? Do you, like a sore loser, also blame the equipment? Actually, rather surprisingly, you might be justified.
Researchers have developed a combination of software and hardware that will allow them to use unmanned aerial vehicles (UAVs) and insect cyborgs, or biobots, to map large, unfamiliar areas -- such as collapsed buildings after a disaster.
Researchers have designed an algorithm that learns directly from human instructions, rather than an existing set of examples, and outperformed conventional methods of training neural networks by 160 per cent. But more surprisingly, their algorithm also outperformed its own training by nine per cent -- it learned to recognize hair in pictures with greater reliability than that enabled by the training, marking a significant leap forward for artificial intelligence.
What's in a tweet? From gender to education, the words used on social media carry impressions to others. Using publicly available tweets, social psychologists and computer scientists are helping us to parse out the stereotypes formed by word choices on the social media channel Twitter. Utilizing natural language processing (NLP), a form of artificial intelligence, the researchers show where stereotyping goes from "plausible" to wrong.
A brain implant has been placed in a patient enabling her to operate a speech computer with her mind. The researchers and the patient worked intensively to get the settings right. She can now communicate at home with her family and caregivers via the implant. That a patient can use this technique at home is unique in the world.
Scientists have used machine learning algorithms to teach computers to recognize the insect feeding patterns involved in pathogen transmission. The study also uncovers plant traits that might lead to the disruption of pathogen transmission and enable advances in agriculture, livestock and human health.
Of the vast wealth of information unlocked by the Internet, most is plain text. The data necessary to answer myriad questions -- about, say, the correlations between the industrial use of certain chemicals and incidents of disease, or between patterns of news coverage and voter-poll results -- may all be online. But extracting it from plain text and organizing it for quantitative analysis may be prohibitively time consuming.
Future robots that continuously inspect our dykes, don’t come across an electrical charging station every few hours. Using a smart gear box for the robot, a researcher manages to drastically reduce the energy consumption. The energy-autonomous robot comes closer.
A new U.S. Robotics Roadmap calls for better policy frameworks to safely integrate new technologies, such as self-driving cars and commercial drones, into everyday life. The document also advocates for increased research efforts in the field of human-robot interaction to develop intelligent machines that will empower people to stay in their homes as they age. It calls for increased education efforts in the STEM fields from elementary school to adult learners
Robots, common in manufacturing jobs, increasingly spread to office professions. Humanoid or human-like robots already perform tasks in hotels, in stores, and in restaurants. They cook, serve, or advise customers. They communicate like humans via speech, gestures, and sometimes even facial expressions. A real robot hype can be observed in many occupations that are at risk of being replaced by robots/in the process of robotization, say authors of a new report.
In recent years, the best-performing systems in artificial-intelligence research have come courtesy of neural networks, which look for patterns in training data that yield useful predictions or classifications. Now researchers present a new way to train neural networks so that they provide not only predictions and classifications but rationales for their decisions.
Finding the ideal position for interventional needles – as used in biopsies, for instance – is a difficult and time-consuming process. This can now be performed automatically, using a robotic arm to place a needle guide for the doctor at the optimal insertion point. With robotic assistance, doctors need five minutes to position the needle, as opposed to 30 minutes with conventional techniques.
Ever wonder what it would be like if a device could decode your thoughts into actual speech or written words? While this might enhance the capabilities of already existing speech interfaces with devices, it could be a potential game-changer for those with speech pathologies, and even more so for "locked-in" patients who lack any speech or motor function.
A weakness has been found in the Haswell central processing unit (CPU) components that makes common computer operating systems vulnerable to malicious attacks. Computer hackers could take control of individual, company and government computers if a weak point in address space layout randomization (ASLR) software is exploited by manipulating a CPU’s branch predictor, a piece of hardware designed to improve program performance, say researchers.
Authenticity is an important trait, and zebrafish take it especially seriously. An interdisciplinary team of researchers has discovered that zebrafish engage more with 3D-moving robotic models of themselves than with other stimuli.
The use of robotic tutors in primary school classrooms is one step closer.