Now is the best time to buy a laptop--even if you're not a student. Here's what you need to know to find the best deals! 'Tis the season for heading off to school for another year of higher learning. But at the very least, there are some cool back-to-school gadgets to get excited about – including high-tech devices to keep you organized, productive and entertained while in a dorm room. And the good news is you don't have to blow your budget to get some great gear.

Acute Kidney Injury (AKI) is a common occurrence for critically ill patients in the ICU, and its early diagnosis has proven to be challenging. The accuracy of the online, machine-learning-based prediction model, AKIpredictor, was analysed for its use in a clinical setting. The study, which took place over five ICUs in Belgium, compared the predictions of AKIpredictor with physician predictions. The patient information for 250 individuals with no prior evidence of AKI or end-stage renal disease before ICU admission was used. Physicians then predicted AKI progression at three stages: at the initial admission, on the patient's first morning in the ICU and 24 hours later.

Tech giant Microsoft and the Indian School of Business (ISB) on Friday announced that they have partnered to create an Artificial Intelligence (AI) Digital Lab, wherein the two organisations will collaborate in research. The research will use AI and Machine Learning (ML) to study relevant issues for business and public policy. In addition, they will introduce a new executive programme titled Leading Business Transformation in the Age of AI in October, which will equip business leaders with tools and strategies to transform their respective organisations into AI-driven organisations. The three-day non-technical programme is done under the purview of Microsoft's online AI Business School, which provides executive-level insights and practical and actionable guidance to build an end-to-end AI strategy. It will focus on managing the impact of AI on company strategy, culture and responsibility.

Visa rolls out a new suite of tools to fight fraud. The firm announced that the slate of offerings is meant to "help prevent and disrupt payment fraud" and is available to its clients without an additional fee or sign-up. Visa's solutions leverage AI to prevent and quickly put a stop to fraudulent transactions, which could help it keep pace with the AI-driven fraud tools introduced by firms like Mastercard, TSYS, and First Data. Offering fraud-focused tools is particularly important as fraud rises, especially as e-commerce grows more popular, so doing so could make Visa more attractive to firms. Global payment fraud losses are expected to rise 8.5% annually to reach $31 billion in 2020, costing merchants 7% of their annual revenue, according to data from First Data sent to Business Insider Intelligence.

Pass the frames from the camera to the VNCoreMLRequest so it can make predictions using a VNImageRequestHandler object. The VNImageRequestHandler object handles image resizing and preprocessing as well as post-processing of your model's outputs for every prediction. To pass camera frames to your model, you first need to find the image orientation that corresponds to your device's physical orientation. If the device's orientation changes, the aspect ratio of the images can also change. Because you need to scale the bounding boxes for the detected objects back to your original image, you need to keep track of its size.

Take a journey through the creation of an educational game that brings together Core ML, ARKit, and other app frameworks. See it all come to life in an interactive coding session.

Welcome to our BRAND NEW Learning Lab on Anomaly Detection for Fraud with H2O. We'll show you how we got a 0.944 AUC on Kaggle's Credit Fraud Challenge. Learning Lab 17 (Why Should I Sign Up?): - Learn about Anomaly Detection - What types exist and the problems it can be used to solve - Learn about Fraud Detection - Why Anomaly Detection helps - Apply an H2O IsolationForest model to financial data - We'll end up with a 0.944 AUC beating out most Supervised Learning Methods (e.g. XGBoost) - Get a 30-minute LIVE code-through - Have lots of FUN with Matt & David!

I was blown away by these two incredibly talented data scientists. Nothing inspires me more than having a conversation with people who are literally 10 times smarter than me. We discuss Mat's work on building out patterns for distributed deep learning on Azure. We talk about computer vision, interpretability, robustness, ML engineering and the democratisation of deep learning. Finishing off we discuss where the deep learning space is going in the next 5 years!

This is the great mystery of human vision: Vivid pictures of the world appear before our mind's eye, yet the brain's visual system receives very little information from the world itself. Much of what we "see" we conjure in our heads. "A lot of the things you think you see you're actually making up," said Lai-Sang Young, a mathematician at New York University. "You don't actually see them." Yet the brain must be doing a pretty good job of inventing the visual world, since we don't routinely bump into doors.