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Particular deep artificial neural networks (ANNs) are today’s most accurate models of the primate brain’s ventral visual stream. Using an ANN-driven image synthesis method, we found that luminous power patterns (i.e., images) can be applied to primate retinae to predictably push the spiking activity...

Urban areas feature complex and heterogeneous land covers which create challenging issues for tree species classification. The increased availability of high spatial resolution multispectral satellite imagery and LiDAR datasets combined with the recent evolution of deep learning within remote...

What specific features should visual neurons encode, given the infinity of real-world images and the limited number of neurons available to represent them? We investigated neuronal selectivity in monkey inferotemporal cortex via the vast hypothesis space of a generative deep neural network, avoiding...

Clinical decision support tools (DST) promise improved healthcare outcomes by offering data-driven insights. While effective in lab settings, almost all DSTs have failed in practice. Empirical research diagnosed poor contextual fit as the cause. This paper describes the design and field evaluation...

Opioid use disorder (OUD) poses substantial risks to personal well-being and public health. In online communities, users support those seeking recovery, in part by promoting clinically grounded treatments. However, some communities also promote clinically unverified OUD treatments, such as...

New tools can find patterns in vast online data to track and identify users on illicit forums.

Machine learning reveals metabolic pathways disrupted by the drugs, offering new targets to combat resistance.

The last time I recall someone demanding: “Show me your ID” was on the streets of Beirut during the final days of the civil war. Now, I get the same thing when I log into Facebook.

The UK will need to spend £1 billion a year on flood management to avoid the worst consequences of climate change, according to the national Environment Agency. The organisation’s chair, Emma Boyd, said “we can’t win a war against water by building away climate change with infinitely high flood…

Uber’s business model is incredibly simple: It’s a platform that facilitates exchanges between people. And Uber’s been incredibly successful at it, almost eliminating the transaction costs of doing business in everything from shuttling people around town to delivering food.

Recently, machine learning (ML) has become a widely used technique in materials science study. Most work focuses on predicting the rule and overall trend by building a machine learning model. However, new insights are often learnt from exceptions against the overall trend. In this work, we...

Background

Social isolation is an important social determinant that impacts health outcomes and mortality among patients. The National Academy of Medicine recently recommended that social isolation be documented in electronic health records (EHR). However, social isolation usually is not recorded...

Neuropathologists assess vast brain areas to identify diverse and subtly-differentiated morphologies. Standard semi-quantitative scoring approaches, however, are coarse-grained and lack precise neuroanatomic localization. We report a proof-of-concept deep learning pipeline that identifies specific...

Standard computer vision systems assume access to intelligently captured inputs (e.g., photos from a human photographer), yet autonomously capturing good observations is a major challenge in itself. We address the problem of learning to look around: How can an agent learn to acquire informative...

Background: Research in embodied artificial intelligence (AI) has increasing clinical relevance for therapeutic applications in mental health services. With innovations ranging from ‘virtual psychotherapists’ to social robots in dementia care and autism disorder, to robots for sexual disorders...

New Zealand is among a group of countries whose governments use predictive algorithms to help them make decisions.

Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.

Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.

Researchers submit deep learning models to a set of psychology tests to see which ones grasp key linguistic rules.

Assessing the mechanical stability of metal-organic frameworks (MOFs) is critical to bring these materials to any application. Here, we derive the first interactive map of the structure-mechanical landscape of MOFs by performing a multi-level computational analysis. First, we used high-throughput...