50 Smartest Companies 2016

Our editors pick the 50 companies that best combine innovative technology with an effective business model. Read the full article at MIT Technology Review

Genetic Architect: Discovering Genomic Structure with Learned Neural Architectures

Article Abstract Each human genome is a 3 billion base pair set of encoding instructions. Decoding the genome using deep learning fundamentally differs from most tasks, as we do not know the full structure of the data and therefore cannot design architectures to suit it. As such, architectures that fit the structure of genomics should […]

Paging HAL: What Will Happen When Artificial Intelligence Comes to Radiology?

The myth of Hephaestus’ golden handmaidens illustrates mankind’s centuries-long fascination with artificial intelligence (AI). The god of the forge created his handmaidens, who could talk and perform even the most difficult tasks, to assist him in his labors, and many people have since speculated about the possible uses of AI and the forms it might […]

Eight technologies that could change healthcare beyond recognition

Smartphones, genome sequencing and wearable technology will bring benefits but also challenges to health and social care. Machine learning is a type of artificial intelligence that enables computers to learn without being explicitly programmed, meaning they can teach themselves to change when exposed to new data. New insights into big datasets Several businesses hope to […]

Thirteen Companies That Use Deep Learning To Produce Actionable Results

Our means for gathering data have largely outstripped our tools for analyzing that data. The result is a mountain of unstructured and largely inaccessible information gathered from social media, app permissions, website cookies and hardware and software service agreements. There’s gold in that mountain, but you need the right tools to get at it. For […]

ResNet in ResNet: Generalizing Residual Architectures

Article Abstract Residual networks (ResNets) have recently achieved state-of-the-art on challenging computer vision tasks. We introduce Resnet in Resnet (RiR): a deep dualstream architecture that generalizes ResNets and standard CNNs and is easily implemented with no computational overhead. RiR consistently improves performance over ResNets, outperforms architectures with similar amounts of augmentation on CIFAR-10, and establishes […]

The Promise of Artificial Intelligence Unfolds in Small Steps

When IBM’s Watson computer triumphed over human champions in the quiz show “Jeopardy!” it was a stunning achievement that suggested limitless horizons for artificial intelligence. Read the full article at The New York Times

In Radiology, Man Versus Machine

Will radiologists eventually be replaced by artificial intelligence? Call it artificial intelligence. Deep learning. Computer cognition. Whatever its name, it’s the same thing – machines recognizing clinical problems in digital images ahead of the radiologists charged with making the diagnosis. The artificial intelligence (AI) trend is new, but it’s gaining ground quickly, according to industry […]

Enlitic: Deep Learning Algorithms for Medical Imaging

Let’s say you could program a deep learning algorithm to read medical images as good as doctors can. Would you then replace all your radiologists with a deep learning program? Maybe you wouldn’t, but what if that deep learning algorithm was better than your radiologists? What if it just wasn’t marginally better, but 10X better? […]