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Upcoming Why R Webinar – Data Optimisation Network - AI Summary

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On Thursday, March 15th at 7 pm UTC | 8 pm CET, as part of the Why R? Webinar series, we have the honour to host Gaurav Pahuja. He will talk about the Data Optimisation Network. Join us! Check out our other events on this webinars series. To watc...


Machine Learning and Rust (Part 4): Neural Networks in Torch

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It's been a while since the last time when we had a look at Rust and its application to Machine Learning -- please, scroll down to the bottom for the previous tutorials on ML and Rust. Today I would like to present you a step forward, introducing neural networks in Rust. There exists a Rust Torch, which allows us to create any kind of neural network we want. The Bindings are the key point to landing a Rust Torch. Bindings allow the creation of foreign function interfaces or FFIs, which create a bridge between Rust and functions/codes written in a language.


BlueHalo Awarded $24M Contract for TITAN C-UAS Systems – sUAS News – The Business of Drones - Channel969

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The Department of Defense (DoD) has awarded BlueHalo Titan Defense a $24M contract to procure multiple Titan C-UAS systems. Titan, BlueHalo's AI/ML-powered RF-based Counter-Unmanned Aerial System (C-UAS) solution, is the DoD's recent selection as a Program of Record (POR) capability. Incorporation into the POR and this subsequent award serves as a milestone achievement for the Titan system after providing uncompromised C-UAS force protection to America's servicemen and women abroad in all Combatant Commands, as well as critical homeland defense in the United States for over five years. The undisclosed government customer will use Titan systems for pre-deployment activities, mobile security, fixed site protection, and dismounted operations while deployed. "Titan acts as a force multiplier for our troops," said Jonathan Moneymaker, BlueHalo's Chief Executive Officer.


SAIC Mobility Robotaxi valued at $1B after $148M Series B – TechCrunch

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SAIC Mobility Robotaxi, an arm of state-owned Chinese automaker SAIC that aims to launch a commercial robotaxi service, raised $148 million (RMB 1 billion). The funds will be used to scale its robotaxi service in China, which it will operate in partnership with autonomous vehicle company Momenta. SAIC Group led the Series B round that also saw participation from Momenta, Gaoheng Management Consulting and other institutions. The funding brought SAIC Mobility's total valuation to more than $1 billion, according to the company. The company's robotaxis are powered using Momenta's "Flywheel L4" technology, which is designed to use deep learning rather than a rules-based, machine learning approach.


Cloud-based medical imaging reconstruction using deep neural networks

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Medical imaging techniques like computed tomography (CT), magnetic resonance imaging (MRI), medical x-ray imaging, ultrasound imaging, and others are commonly used by doctors for various reasons. Some examples include detecting changes in the appearance of organs, tissues, and vessels, and detecting abnormalities such as tumors and various other type of pathologies. Before doctors can use the data from those techniques, the data needs to be transformed from its native raw form to a form that can be displayed as an image on a computer screen. This process is known as image reconstruction, and it plays a crucial role in a medical imaging workflow--it's the step that creates diagnostic images that can be then reviewed by doctors. In this post, we discuss a use case of MRI reconstruction, but the architectural concepts can be applied to other types of image reconstruction.


Elon Musk says Tesla's Optimus humanoid robot will eventually cost 'less than a car'

Daily Mail - Science & tech

Elon Musk shared new details about Tesla's Optimus humanoid robot - including information about the cost and likely uses for it - in an essay published online. The robot, which is intended for industrial and domestic uses, will debut at AI Day September 30 after first being announced at AI Day in August 2021. 'Tesla Bots are initially positioned to replace people in repetitive, boring, and dangerous tasks. But the vision is for them to serve millions of households, such as cooking, mowing lawns, and caring for the elderly,' Musk wrote in the essay published in China Cyberspace magazine. 'Tesla Bots are initially positioned to replace people in repetitive, boring, and dangerous tasks,' Elon Musk explained in a recent essay'The vision is for them to serve millions of households, such as cooking, mowing lawns, and caring for the elderly,' the mogul added'The Tesla Bot is close to the height and weight of an adult, can carry or pick up heavy objects, walk fast in small steps, and the screen on its face is an interactive interface for communication with people,' Musk, seen above, explained in the essay The mogul explained that the android, which will have human-like limbs and features, was deliberately designed that way.


"Why we shouldn't expect robot workers any time soon

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Aquatic robots have been on the coral reef killing dangerous crown-of-thorns starfish for years; work that would be hard and dangerous for humans. And with the dearth of backpackers during the pandemic, some farms have also turned to fruit-picking robots. The situation is somewhat different with AI doing tasks that don't require physical robot parts. Eric Swift, managing director for cloud computing company ServiceNow, said the average Australian already interacts with AI more than 100 times a day, and that in the future this would be practically constant. "Research from Deloitte shows Australians waste more than one day a week performing highly repetitive tasks, like data entry or searching for information," he said, predicting that these tasks will eventually become solely the realm of AI. "A future workforce will blend human and AI capabilities. Our'machine mates' will become teammates, and may even have their roles formalised into organisation charts."


Explainable Convolutional Neural Networks with PyTorch + SHAP

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Complex technologies such as deep learning used to be a kind of black-box model since you couldn't have a thorough idea of what was happening inside. However, tools like SHAP (SHapely Additive exPlanations) make it a thing of the past. With SHAP, you can easily interpret the predictions of deep learning models with minimal coding. CNNs aren't among the most straightforward concepts to understand. A network using mathematical calculations learns the kernels for images and detects the useful patterns to classify unseen images correctly.


Comparison between Deep Learning & Machine Learning

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All of a sudden every one is talking about them – irrespective of whether they understand the differences or not! Whether you have been actively following data science or not – you would have heard these terms. Just to show you the kind of attention they are getting, here is the Google trend for these keywords: If you have often wondered to yourself what is the difference between machine learning and deep learning, read on to find out a detailed comparison in simple layman language. I have explained each of these term in detail. Then I have gone ahead to compare both of them and explained where we can use them.


How to Choose an Applicant Tracking System Easily - Wisestep

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An application tracking system also known as ATS is a software application that facilitates electronic dealing for the recruitment of the company. The key advantage of the software in an organization is that they help to collect and store job-related data about the candidate. The progress of the candidates throughout the hiring process is monitored with ATS. The system takes responsibility for filtering applications in an automatic manner depending on the criteria formulated based on keywords, skills, experience, former employers etc. Depending upon the company status, an ATS can be implemented or access top applicant tracking system online. Posting jobs on corporate websites can also be accomplished with an ATS.