Collaborating Authors

ROC Curve Explained in One Picture


With a ROC curve, you're trying to find a good model that optimizes the trade off between the False Positive Rate (FPR) and True Positive Rate (TPR). What counts here is how much area is under the curve (Area under the Curve AuC). The ideal curve in the left image fills in 100%, which means that you're going to be able to distinguish between negative results and positive results 100% of the time (which is almost impossible in real life). The further you go to the right, the worse the detection. The ROC curve to the far right does a worse job than chance, mixing up the negatives and positives (which means you likely have an error in your setup).

Facebook using artificial intelligence to forecast COVID-19 spread in every U.S. county


State officials hope California's new 10 p.m. stay-at-home order will slow the spread of COVID-19, otherwise, another 10,000 San Diegans are projected to contract the virus in the next 10 days. That's according to a new county-by-county forecast from Facebook, which rolled out the prediction software last month. Facebook projects L.A. County will see the second-largest increase in cases in the country by November 30. San Diego County is projected to add the 15th most cases, reaching a total of 78,594 infections by Nov. 30. The two-week forecast was released before Governor Gavin Newsom announced enhanced restrictions.

Risks of artificial intelligence


When Deloitte's recent State of AI in the Enterprise study asked AI adopters about their organization's top adoption challenges, "managing AI-related risks" topped the list--tied with integration and data challenges, and on par with implementation concerns.1 And while worry is high, action to ameliorate risks is lagging: Fewer than one-third practice more than three AI risk management activities.2 And fewer than four in 10 adopters report that their organization is "fully prepared" for the range of AI risks that concern them. To investigate whether actively managing AI risks has any tangible benefit, we compared two groups of AI adopters that approach those risks differently: Risk Management Leaders (11%) undertake more than three AI risk management practices and align their AI risk management with their organization's broader risk management efforts, while Risk Management Dabblers (51%) undertake up to three AI risk management practices but are not aligning them with broader risk management efforts.3 The Leaders believe AI has greater strategic importance to their business: 40% see AI as "critically important" to their business today, versus only 18% of the Dabblers--and within two years, those numbers are expected to rise to 63% and 36%, respectively.

Exploiting AI: How Cybercriminals Misuse and Abuse AI and ML


Artificial intelligence (AI) is swiftly fueling the development of a more dynamic world. AI, a subfield of computer science that is interconnected with other disciplines, promises greater efficiency and higher levels of automation and autonomy. Simply put, it is a dual-use technology at the heart of the fourth industrial revolution. Together with machine learning (ML) -- a subfield of AI that analyzes large volumes of data to find patterns via algorithms -- enterprises, organizations, and governments are able to perform impressive feats that ultimately drive innovation and better business. The use of both AI and ML in business is rampant.

Pros & Cons Of Artificial Intelligence App Development


When you want to incorporate AI into your own mobile development procedure, it is important to learn how AI functions for different kinds of applications. Artificial Intelligence is a major portion of the mainstream these days as its innovation is integrated into almost all contemporary devices. Right from predictive analytics to chatbots, developers & organizations are constantly examining ground-breaking approaches for utilizing AI for delivering enhanced client services & reconsidering business procedures. The classifications of Artificial Intelligence in mobile application development companies are varied. It can be categorized into weak & strong.



This is a TensorFlow implementation of the stereo matching algorithm described in the paper "Efficient Deep Learning for Stereo Matching". The code is tested using Tensorflow r1.4 under Ubuntu 14.04 with Python 2.7. The KITTI 2015 dataset has been used for training. This dataset consists of total of 200 scenes for training and of 200 scenes for testing. For more details, please check the KITTI website.

Watch: Facial recognition at Dubai Metro stations to identify wanted criminals


He said the technology will be rolled out in the coming months across all Metro stations in the emirate. Dubai Police's smart glasses called Rokid T1, and the smart helmets that were used during the COVID-19 pandemic to scan commuters' temperatures, will have more advanced technology in the future like facial recognition to identify wanted people. "Usually, it takes at least five hours to identify a suspect, but with facial recognition technology, it takes less than a minute."

How 'Astro's Playroom' captures the magic of PS5's DualSense controller


Sure, Spider-Man: Miles Morales and the Dark Souls remake are getting most of the PlayStation 5 love, but Sony's most significant next-generation launch game may be Astro's Playroom. It's a showpiece for the new DualSense controller's haptic capabilities, which includes finely tuned rumbling and adaptive triggers with adjustable tension. Best of all, you can start playing it on your PS5 right away; it's pre-installed on every system. Just like with Astro Bot Rescue Mission on the PlayStation VR, the diminutive robot is the ideal guide as Sony breaks new ground with hardware. As I mentioned in my PlayStation 5 review, simply booting up the game jolted me awake -- it vibrated in my hands as if it was the one holding me.

Once more with feelings: How Yakuza: Like a Dragon reinvents middle-aged men in video games

The Guardian

It sounds like the set-up for a violent revenge movie. Low-ranking yakuza Ichiban Kasuga takes the blame for an inter-clan assassination and does 18 years in prison to protect the organisation's patriarch. But, on his release, the gang disowns him and the boss, who he considers a father figure, shoots him and leaves him for dead. Surely, the stage is set for bloody retribution? Kasuga is not that kind of protagonist.

IBM takes the next step with Cloud Pak for Data


Ever since IBM unveiled Cloud Pak for Data as a cloud-native integrated set of analytics and AI platform, we've been wondering when IBM would take the next step and announce a full-blown managed cloud service. It's now starting to happen as IBM is rolling out IBM Cloud Pak for Data as a Service. Roll back the tape to last spring when we reviewed IBM Cloud Satellite; we noted that IBM's primary cloud message has been about multi-cloud, or at least cloud-agnostic. Propelled by Red Hat OpenShift, IBM carved out such a strategy for this managed Kubernetes environment where you could deploy open source software yourself on the hardware or public cloud of your choice or choose IBM to run a managed OpenShift service for you in the IBM Cloud. That is now getting repeated with Cloud Pak for Data.