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Artificial intelligence-created medicine to be used on humans for first time – For the first time, a drug created by AI and Machine Learning has been approved for human trials. The drug was created by British start-up Exscientia in collaboration with Japanese pharmaceutical firm Sumitomo Dainippon Pharma. While typical drug development ta

Using AI to Enrich Digital Maps – Your commute may now be saved from the road closures, private routes and diversions! Researchers at MIT and Qatar Computing Research Institute (QCRI) have invented a model that could improve GPS navigation on digital maps.An interesting read about the research combining convolutional neural network (CNN)

Microsoft NNI and Kubeflow – continued support and a way to tune hyperparameters –  Microsoft released version 1.3 of their NNI project. NNI is Microsoft’s Neural Network Intelligence project, it lets you search for the best neural network architecture and hyperparameters.  Microsoft NNI supports Kubeflow, where NNI can take the place of

Architecture for MLOps using TFX, Kubeflow Pipelines, and Cloud Build – If you’re a data scientist or an enthusiast and have been wanting to try the TFX (TensorFlow Extended), this article is a good place to start. The article also helps guide through setting up CI/CD and CT ( Continuous Training) using Kubeflow Pipelines and

AI to Identify Unknown Civil War Soldiers – An interesting piece by Time on the use of Artificial Intelligence for facial recognition; the software calculates the difference between proportions of the face and facial portraits like the eyes to match an uploaded picture with picture available on the web. This allows matching of discoloured

AI Competing with Wall Street –  Artificial Intelligence is replacing traders on Wall Street; what used to be a busy bustling market with chatter and cold calls are now the slight hums of machines running algorithms and executing trades. The demand for people with coding skills who can train models for intelligent trading and fight

Canonical announces full enterprise support for Kubernetes 1.17, with support covering Charmed Kubernetes, MicroK8s and Kubeadm. MicroK8s will be updated with Kubernetes 1.17 enabling users access to the latest upstream release with a single-line command in under 60 seconds. MicroK8s now brings Machine Learning deployments in seconds with

We’re excited to announce the release of MicroK8s with Kubernetes 1.17! MicroK8s is a Kubernetes cluster delivered as a single snap package – it can be installed on any Linux distribution which supports snaps. MicroK8s is small and simple to install and is a great way to stand up a cluster quickly for development and

Google pushing TPU with new TensorFlow release – TensorFlow 2.1 is here, welcome to the TPU push; that’s good news for many. We’ll also see improved performance on Linux and Windows and GPU support out-the-box. There are a few changes and issues to be aware of and if you’re using Python 2, TF 2.1 will

Throwback to Kubecon last week where Kubeflow was the most talked about topic other than Kubernetes itself. It was great to see so much excitement around Kubeflow. For those of you who missed the event, or were too busy to catch these talks, or just couldn’t be everywhere exciting at once, below is a list

KubeFlow’s Serverless Component: 10x Faster, a 1/10 of the Effort – Orit Nissan-Messing, Iguazio Enabling Kubeflow with Enterprise-Grade Auth for On-Prem – Yannis Zarkadas & Krishna Durai Measuring and Optimizing Kubeflow Clusters at Lyft – Konstantin Gizdarski & Richard Liu Towards Continuous Computer Vision Model Improvement with Kubefl

KubeCon San Diego 2019 was a blast; lot’s of sun, beer, food, amazing projects and learning opportunities! It was great to see the community come together for the love of all things Kubernetes. The Canonical booth was buzzing with excitement around MicroK8s, Multipass and Kubernetes clustering on that DIY Raspberry Pi clusters running Ubu

AI for Biodiversity Research – Google, in collaboration with Global Biodiversity Information Facility (GBIF), iNaturalist, and Visipedia is making a push to bring AI to biodiversity research. While ML is prevalent in biodiversity research, proper attribution and oversight is a hit or miss. Google is hoping to bridge the gap and raise the

Leveraging Kubernetes for AI deployments is becoming increasingly popular. Chances are if your business is involved in AI/ML with Kubernetes you are using tools like Kubeflow to reduce complexity, costs and deployment time. Or, you may be missing out! With AI/ML being the tech topics of the world, GPUs play a critical role in the

The Ultimate Learning Machine – Babies… This article dives into how machines are trained and their motivation for learning compared to a human baby. Guess what… babies learn faster, require less data and have a power that machines don’t – curiosity! The AI lab at UC Berkeley is trying to innovate with AI to mimic

Adoption of edge computing is taking hold as organisations realise the need for highly distributed applications, services and data at the extremes of a network. Whereas data historically travelled back to a centralised location, data processing can now occur locally allowing for real-time analytics, improved connectivity, reduced latency