"On average, the data preparation process takes 2X or in some cases 3X longer that just the design of the machine learning algorithm," said Valeria …

This is especially true for organizations with computer programming, data science, artificial intelligence, engineering, and machine learning workforce.

Freeing up that data -- and using machine learning tools to make sense of it -- would help make the justice system more just.

Surprisingly, they outperform Bayesian Networks, which are - in theory - doing the same thing. This paper investigates how Deep Ensembles are especially suited to capturing the non-convex loss landscape of neural networks.

Training with artificial images is becoming increasingly important to address the lack of real data sets in various niche areas. Yet, many today's approaches write 2D/3D simulations from scratch. To improve this situation and make better use of existing pipelines, we've been working towards an integration between Blender, an open-source real-time physics enabled animation software, and PyTorch. Today we announce blendtorch, an open-source Python library that seamlessly integrates distributed Blender renderings into PyTorch data pipelines at 60FPS (640x480 RGBA). Batch visualization from 4 Blender instances running a physics enabled falling cubes scene.

With deep learning, a technique that has helped produce spectacular AI … Improving the performance of an English-to-French machine-translation …

To be included on the list, companies needed to show that techniques like machine learning, natural language processing, or computer vision are a …

… clinical research information officer at UC San Diego Health, sat in on a presentation about how radiologists could use machine learning decision …

Imec and GLOBALFOUNDRIES announced a hardware demonstration of a new artificial intelligence chip. Based on imec's Analog in Memory Computing (AiMC) architecture utilizing GF's 22FDX solution, the new chip is optimized to perform deep neural network calculations on in-memory computing hardware in the analog domain. Achieving record-high energy efficiency up to 2,900 TOPS/W, the accelerator is a key enabler for inference-on-the-edge for low-power devices. Since the early days of the digital computer age, the processor has been separated from the memory. Operations performed using a large amount of data require a similarly large number of data elements to be retrieved from the memory storage.

One of the big joys of "Umurangi Generation" is the sensation of seeing a scene in the game, and having the mirage of a perfect picture appear in your mind, if only for a second. It's impossible (at least for a photographer of my caliber) to visualize and capture it as-imagined, which opens up a second game within the game: one of curation. A no-less-enjoyable part of my "Umurangi" experience was scouring my file folder (the game saves all of your shots) after completing a level and being both repulsed and pleasantly surprised by what I'd created. The game reveals certain things about your aesthetic priorities. I preferred vertical images to horizontal ones, and I leaned toward overexposure and a blue tint in many of my photos, mirroring a sort of mid-2010s Bloomberg Businessweek aesthetic.