MIT News January 21, 2021 In complex situations robots often do not move quickly because perceiving stimuli and calculating a response takes a lot of computation which limits reaction time. A team of researchers in the US (MIT, Harvard University) used robomorphic computing to bridge the mismatch between a robot’s “mind” and body. Their system creates a customized hardware design to best serve a particular robot’s computing needs. The user inputs the parameters of a robot, the system translates these physical properties into mathematical matrices. These matrices contain many zero values that roughly correspond to movements that are impossible given […]
Tag Archives: AI
Artificial intelligence solves Schrödinger’s equation
Phys.org December 21, 2020 The goal of quantum chemistry is to predict chemical and physical properties of molecules based solely on the arrangement of their atoms in space, avoiding the need for resource-intensive and time-consuming laboratory experiments. In principle, this can be achieved by solving the Schrödinger equation. Up to now, it has been impossible to find an exact solution for arbitrary molecules that can be efficiently computed. To solve this problem researchers in Germany have proposed PauliNet, a deep-learning wavefunction ansatz that achieves nearly exact solutions of the electronic Schrödinger equation for molecules with up to 30 electrons. PauliNet […]
Artificial intelligence model detects asymptomatic Covid-19 infections through cellphone-recorded coughs
MIT News October 29, 2020 A team of researchers in the US (MIT, Harvard University) developed an AI speech processing framework that leverages acoustic biomarker feature extractors to pre-screen for COVID-19 from cough recordings. CNN-based models have been trained on 4256 subjects and tested on the remaining 1064 subjects of the dataset. When validated with subjects diagnosed using an official test, the model achieved COVID-19 sensitivity of 98.5% with a specificity of 94.2% . For asymptomatic subjects it achieved sensitivity of 100% with a specificity of 83.2%. AI techniques can produce a free, non-invasive, real-time, any-time, instantly distributable, large-scale COVID-19 […]
AI detects hidden earthquakes
Science Daily October 22, 2020 Earthquake signal detection and seismic phase picking are challenging tasks in the processing of noisy data and the monitoring of microearthquakes. A team of researchers (Stanford University, Georgia Institute of Technology) has developed a global deep-learning model for simultaneous earthquake detection and phase picking. Performing these two related tasks in tandem improves model performance in each individual task by combining information in phases and in the full waveform of earthquake signals by using a hierarchical attention mechanism. They applied their model to 5 weeks of continuous data recorded during 2000 Tottori earthquakes in Japan and […]
AI taught to rapidly assess disaster damage so humans know where help is needed most
Asia Research October 1, 2020 Using convolutional neural network (CNN) a team of researchers in Japan trained an AI using post-disaster aerial images to accurately determine how battered the buildings are. It works by classifying buildings as collapsed, non-collapsed, or blue tarp-covered based on the seven damage scales (D0-D6) used in the 2016 Kumamoto earthquakes. Based on the photos used to train the AI, they found that the blue tarp-covered category predominantly represented D2-D3 levels of devastation. When the system was tested on post-disaster aerial images of the September 2019 typhoon that hit Chiba, results showed that damage levels of […]
Landmark recommendations on development of artificial intelligence and the future of global health
Science Daily May 19, 2020 In this review article, a team of researchers in the US (Columbia University, Johns Hopkins University) suggests that AI-driven health interventions fit into four categories relevant to global health researchers: (1) diagnosis, (2) patient morbidity or mortality risk assessment, (3) disease outbreak prediction and surveillance, and (4) health policy and planning. However, much of the AI-driven intervention research in global health does not describe ethical, regulatory, or practical considerations required for widespread use or deployment at scale. Despite the field remaining nascent, AI-driven health interventions could lead to improved health outcomes in Low and Middle […]
Computer scientists’ new tool fools hackers into sharing keys for better cybersecurity
Science Daily February 27, 2020 Researchers at UT Dallas aim to solve a major challenge to using artificial intelligence for cybersecurity: a shortage of data needed to train computers to detect intruders. They have developed a method called DEEP-Dig (DEcEPtion DIGging), which ushers intruders into a decoy site so the computer can learn from hackers’ tactics. The information is then used to train the computer to recognize and stop future attacks. Most cyber defense programs try to disrupt intruders before anyone can monitor the intruders’ techniques. DEEP-Dig will give researchers a window into hackers’ methods as they enter a decoy […]
Why did my classifier just mistake a turtle for a rifle?
MIT News July 31, 2019 We know instinctively that people and machines see the world differently, but the paper showed that the difference could be isolated and measured. Researchers at MIT have shown that a computer vision model could be compromised in a so-called black-box attack by simply feeding it progressively altered images until one caused the system to fail. Recently they highlighted multiple cases in which classifiers could be duped into confusing cats and skiers for guacamole and dogs, respectively. They trained a model to identify cats based on “robust” features recognizable to humans, and “non-robust” features that humans […]
With Squad X, Dismounted Units Partner with AI to Dominate Battlespace
DARPA News July 7, 2019 DARPA’s Squad X Experimentation program aims to demonstrate a warfighting force with artificial intelligence as a true partner. In a recent field test, the program worked with U.S. Marines at the Air Ground Combat Center in Twentynine Palms, California, to track progress on two complementary systems that allow infantry squads to collaborate with AI and autonomous systems to make better decisions in complex, time-critical combat situations. With the conclusion of third experiment, the CACI system is moving into Phase 2, which includes an updated system that can remain continuously operational for five or more hours. […]
Can AI and autonomous systems detect hostile intent?
Defense Systems April 24, 2019 The Urban Reconnaissance through Supervised Autonomy (URSA) project aims to use autonomous systems to help the military detect hostile forces in cities and positively identify combatants before any U.S. troops come in contact with them. DARPA’s Tactical Technology Office is hosting a Proposers Day to provide information to potential applicants on the structure and objectives of the new Urban Reconnaissance through Supervised Autonomy (URSA) program. URSA aims to develop technology to enable autonomous systems operated and supervised by U.S. ground forces to detect hostile forces and establish positive identification of combatants before U.S. troops encounter […]