Synthetic biology is a relatively new area of research that could significantly impact a number of fields, including biology, nanofabrication and medicine. A primary challenge in this emerging field is that of embedding computation in molecular contexts, in situations...
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DeepMind researchers develop neural arithmetic logic units (NALU)
The ability to represent and manipulate numerical quantities can be observed in many species, including insects, mammals and humans. This suggests that basic quantitative reasoning is an important component of intelligence, which has several evolutionary advantages.
Defense against adversarial attacks using machine learning and cryptography
Researchers at the University of Geneva have recently developed a new defense mechanism that works by bridging machine learning with cryptography. The new system, outlined in a paper pre-published on arXiv, is based on Kerckhoffs' second cryptographic principle, which...
Droidbugs: A new benchmark to evaluate automated repair methods for Android apps
Automated program repair (APR) is an emerging field of research that sets out to develop methods of fixing software bugs automatically, without intervention by human programmers. After development, APR techniques are typically evaluated on several benchmarks,...
A new approximate computing approach using CNNs
Researchers at Fukuoka University, in Japan, have recently proposed a design methodology for configurable approximate arithmetic circuits. As part of their study, published on ResearchGate, they applied their method to a prototype system for image processing that...
A ToM-based human intention estimation algorithm for robotized warehouses
The rapid growth of logistics businesses has generated a need for more evolved and efficient warehouse systems. Advances in robotics could help to meet these needs by automating tasks that are currently completed by humans, significantly speeding up the workflow.
A new artificial neural network framework for gait based biometrics
Researchers at Imperial College London have recently devised a new biometric cryptosystem approach for securing wireless communications of wearable and implantable medical devices. Their framework, outlined in a study published on IEEE Explore, uses an artificial...
Baidu researchers develop a new auto-tuning framework for autonomous vehicles
Researchers at Chinese multinational tech company Baidu have recently developed a data-driven auto-tuning framework for self-driving vehicles based on the Apollo autonomous driving platform. The framework, presented in a paper pre-published on arXiv, consists of a new...
A new convolutional neural network model to detect abuse and incivility on Twitter
Researchers at Northwestern University, McGill University, and the Indian Institute of Technology Kharagpur have recently developed a character level convolutional neural network (CNN) model that could help to detect abusive posts on Twitter. This model was found to...
BinaryGAN: a generative adversarial network with binary neurons
Researchers at the Research Center for IT Innovation of Academia Sinica, in Taiwan, have recently developed a novel generative adversarial network (GAN) that has binary neurons at the output layer of the generator. This model, presented in a paper pre-published on...









