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Stripe Issuing is an API that allows you to create and control virtual and physical cards. Today, we’re opening access to all businesses in the US, so you can sign up and start creating cards instantly. Now, any US business can instantly launch a commercial card program, right from their Dashboard, at no cost to get started.
And Issuing comes packed with capabilities that ensure that any business—from a new startup to a tech giant—can build flexible cards with our APIs.
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Of course, a definition of “production-scale Prometheus” can be as wide as the variety of cases where Istio and Prometheus are used in production. So in the context of this article, we have to make some assumptions. First of all, this article focuses on Istio using Telemetry v2, which is enabled by default starting from Istio 1.5.
This feature was also present as an experimental feature (disabled by default) in previous releases of Istio.
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Managing Pods distribution across a cluster is hard. The well-known Kubernetes features for Pod affinity and anti-affinity, allow some control of Pod placement in different topologies. However, these features only resolve part of Pods distribution use cases: either place unlimited Pods to a single topology, or disallow two Pods to co-locate in the same topology.
In between these two extreme cases, there is a common need to distribute the Pods evenly across the topologies, so as to achieve better cluster utilization and high availability of applications.
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Facebook AI has built and open-sourced Blender, the largest-ever open-domain chatbot. It outperforms others in terms of engagement and also feels more human, according to human evaluators. The culmination of years of research in conversational AI, this is the first chatbot to blend a diverse set of conversational skills — including empathy, knowledge, and personality — together in one system.
We achieved this milestone through a new chatbot recipe that includes improved decoding techniques, novel blending of skills, and a model with 9.
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If AI is really going to make a difference to patients we need to know how it works when real humans get their hands on it, in real situations. The covid-19 pandemic is stretching hospital resources to the breaking point in many countries in the world. It is no surprise that many people hope AI could speed up patient screening and ease the strain on clinical staff.
But a study from Google Health—the first to look at the impact of a deep-learning tool in real clinical settings—reveals that even the most accurate AIs can actually make things worse if not tailored to the clinical environments in which they will work.
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Wi-Fi Alliance® is extending Wi-Fi CERTIFIED 6™ into 6 GHz to ensure Wi-Fi users can quickly benefit from additional capacity, wider channels, and less congested spectrum. Certification for Wi-Fi 6E – the brand name for Wi-Fi 6 devices operating in 6 GHz – will be available in early 2021. Wi-Fi Alliance has been working to prepare interoperability certification as soon as Wi-Fi 6E devices enter the market so 6 GHz benefits can reach consumers, device manufacturers, and service providers more quickly.
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Facebook AI and AWS have partnered to release new libraries that target high-performance PyTorch model deployment and large scale model training. As part of the broader PyTorch community, Facebook AI and AWS engineers have partnered to develop new libraries targeted at large-scale elastic and fault-tolerant model training and high-performance PyTorch model deployment. These libraries enable the community to efficiently productionize AI models at scale and push the state of the art on model exploration as model architectures continue to increase in size and complexity.
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Anti-cheat lead Paul Chamberlain walks us through the technical guts of Fog of War, VALORANT’s anti-wallhack system. From the very beginning of VALORANT development, we made it a priority to build out cheating resistance to ensure competitive integrity. In this article, I’ll walk you through one of these anti-cheat systems – Fog of War.
This is one of VALORANT’s key security systems, which focuses on combating cheats that take advantage of a game client’s access to information, like wallhacks.
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MIT engineers have developed a way to closely track how plants respond to stresses such as injury, infection, and light damage, using sensors made of carbon nanotubes. These sensors can be embedded in plant leaves, where they report on hydrogen peroxide signaling waves. Plants use hydrogen peroxide to communicate within their leaves, sending out a distress signal that stimulates leaf cells to produce compounds that will help them repair damage or fend off predators such as insects.
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From 2012 to 2018, blue-chip technology companies implemented custom-built ML platforms for internal use (i.e., Facebook’s FBLearning, Uber’s Michelangelo, Twitter’s Cortex, AirBnB’s BigHead), many of these platforms are primarily based on open-source packages and have been deeply tailored for the specific use cases of their respective companies. Since then, the industry has seen a strong evolution of Enterprise-grade ML platform solutions, including those from incumbent vendors (e.g., Amazon Sagemaker, Microsoft Azure ML, Google Cloud ML, etc.
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