MIT News October 18, 2021 A team of researchers in the US (Stanford University, University of Chicago, Columbia University, MIT) constructed a network of artificial neurons comprising an input layer, a compression layer, and an expansion layer — just like the fruit fly olfactory system. They gave it the same number of neurons as the fruit fly system, but no inherent structure: connections between neurons would be rewired as the model learned to classify odors. The scientists asked the network to assign data representing different odors to categories, and to correctly categorize not just single odors, but also mixtures of […]
Category Archives: AI
Artificial intelligence and algorithmic irresponsibility: The devil in the machine?
TechXplore March 17, 2021 According to researchers in France AI tempts people to abandon judgment and moral responsibility by removing a range of decisions from our conscious minds, it crowds out judgment from a bewildering array of human activities. Without a proper understanding of how it does this we cannot circumvent its negative effects. With widespread access to granular data on human behavior harvested from social media, AI has permeated the key sectors of most developed economies. For tractable problems such as analyzing documents, it usually compares favorably with human alternatives that are slower and more error-prone, leading to enormous […]
Calculations Show It’ll Be Impossible to Control a Super-Intelligent AI
Science Alert January 14, 2021 Superintelligence is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds. Considering recent advances in machine intelligence, several scientists, philosophers, and technologists predict potentially catastrophic risks entailed by such an entity. An international team of researchers (Spain, Germany, USA – UC San Diego, Chile) trace the origins and development of the neo-fear of superintelligence, and some of the major proposals for its containment. They argue that total containment is, in principle, impossible, due to fundamental limits inherent to computing itself. Assuming that superintelligence will contain a program […]
Machine learning to automated daydreaming: academics map future of AI
Imperial College of London September 29, 2020 Researchers in the UK designed the Automated Futures Map to show how the existing brain-computer interface technologies could one day prove to be a stepping-stone towards shared dreaming, the recording of our internal monologues, or cyborg rights. While some of the technologies on the map might seem fantastical, it is designed to demonstrate the breadth of work taking place within AI and robotics, show the links between different technologies, and explore what the future of the field might look like…read more.
Army research enables conversational AI between soldiers, robot
EurekAlert July 27, 2020 A team of researchers in the US (US Army, University of Southern California) supported by the Army Next Generation Combat Vehicle Army Modernization Priority and the Army Priority Research Area for Autonomy has developed the Joint Understanding and Dialogue Interface (JUDI) which enables bi-directional conversational interactions between soldiers and autonomous systems through bidirectional speech and dialogue in tactical operations. The technology gives the robot the ability to ask for clarification or provide status updates as tasks are completed. The dialogue processing is based on a statistical classification method. JUDI is designed for tasks that require reasoning […]
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 […]
Global AI Agenda
MIT Technology Insights April 22, 2020 This report is part of “The global AI agenda,” a thought leadership program by MIT Technology Review Insights examining how organizations are using AI today and planning to do so in the future. Featuring a global survey of 1,004 AI experts. From China to Japan, Singapore to India, policymakers across Asia have developed national-level plans for how AI can be used to enhance domestic and regional competitiveness, which include public and private sector collaboration. The results of the Asia-Pacific survey underscore the readiness of bringing AI to the fore when it comes down to driving […]
The Army working on a battlefield AI ‘teammate’ for soldiers
FedScoop February 3, 2020 To provide a more detailed picture of the battlefield for a solider and get them the most critical information researchers at Carnegie Mellon University are working with the Army to develop a system called the Aided Threat Recognition from Mobile Cooperative and Autonomous Sensors (ATR-MCAS), that will scan and classify imagery from sensors that can be mounted on vehicles, aerial coverage and autonomous vehicles to help soldiers recognize incoming threats. Currently the algorithms are being trained on test data. Soldiers will be able to the feed to show desired area of interest or livestream the raw […]
This object-recognition dataset stumped the world’s best computer vision models
MIT News December 10, 2019 In the real-world object detectors’ performance drops noticeably creating reliability concerns for self-driving cars and other safety-critical systems that use machine vision. A team of researchers (MIT, IBM) created ObjectNet consisting of about 50,000 photos of objects shown tipped on their side, shot at odd angles, and displayed in clutter-strewn rooms and it contains no training images. When leading object-detection models were tested on ObjectNet, their accuracy rates fell from a high of 97 percent on ImageNet to just 50-55 percent. The researchers hope that the new dataset will result in robust computer vision without […]
AI learns to design
Science Daily November 6, 2019 A team of researchers in the US (Carnegie Mellon University, Pennsylvania State University) has implemented a two-step framework that learns to imitate human design strategies from observation to generate designs without any explicit information about objective and performance metrics. It is trained to imitate a set of human designers by observing their design state sequences without inducing problem-specific modeling bias or extra information about the problem. It is designed to interact with the problem through a visual interface as humans did when solving the problem. The designs generated by a computational team of these agents […]