artificialintelligence


Sanja Fabrio on LinkedIn: #ai #artificialintelligence #governance

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Artificial Intelligence (AI) is a force for the good, yet it poses many challenges. There are many ongoing discussions around broad ethical concerns and the guiding principles for AI's future development. Yet, there is very little progress in terms of concrete solutions. RegHorizon's AI Governance Conference provides an interactive, unbiased platform for a truly multi-stakeholder exchange among policy makers, business, civil society and academia - a unique opportunity to create concrete solutions and define the way forward.


Klaus Schlumpberger on LinkedIn: #digitization #artificialintelligence #machinelearning

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During the last 3 days IFCO, the world's leading provider of Reusable Plastic Containers (RPCs) for fresh food, presented its new digital services at the FRUIT LOGISTICA fair in Berlin. MyIFCO recollect enables the easy scanning and counting of IFCO RPCs for recollection purposes, which until now often has been done manually. The mobile app can be used with conventional smartphones and is designed to accelerate logistic processes, thus saving time and money without any additional investment. Technically the app takes photos through the smartphone camera and uses AI / ML based object detection and classification technologies to recognize RPCs of different types stacked on pallets. This is one of many innovative solutions that eForce21.com


#Intel Makes #ArtificialIntelligence More Accessible For The Developer Community

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In more ways than one, software has become the last mile between the developers and the underlying hardware infrastructure, enabling them to utilise the optimization capabilities of processors. Analytics India Magazine spoke to Akanksha Bilani, Country Lead -- India, Singapore, ANZ at Intel Software to understand why, in today's world, transformation of software is key to driving effective business, usage models and market opportunity. "Gone are the days where adding more racks to existing platforms helped drive productivity. Moore's law and AI advocates that the way to take advantage of hardware is by driving innovation on software that runs on top of it. Studies show that modernization, parallelisation and optimization of software on the hardware helps in doubling the performance of our hardware," she emphasizes.


T. Scott Clendaniel on LinkedIn: #AI #ArtificialIntelligence #MachineLearning

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In each of these iterations, certain parameters are tweaked continuously by developers. Any parameter manually selected based on learning from previous experiments qualify to be called a model hyper-parameter. These parameters represent intuitive decisions whose value cannot be estimated from data or from ML theory. The hyper-parameters are knobs that you tweak during each iteration of training a model to improve the accuracy in the predictions made by the model. The hyper-parameters are variables that govern the training process itself.



Thad Rodrigues on LinkedIn: #technology #artificialintelligence #machinelearning 15 comments

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Four ways AI and machine learning will transform healthcare in 2020 ℹ Source: pharmaphorum https://lnkd.in/eCCwj-6 From AI assisted robotic surgery to clinical diagnosis, image analysis and administrative tasks, the use of artificial intelligence and machine learning technologies is increasing within healthcare. In fact,75% of healthcare enterprises are planning to execute an AI strategy next year, whether that's exploring how it can automate critical but repetitive tasks to free up time for clinicians,how automatic speech recognition can speed up disease diagnosis,or how it can create synthetic controls for clinical trials Four ways More effective deployment of AI tools will become a focus AI will be increasingly applied to imaging diagnostics Novel and digital biomarkers will support disease diagnosis Clinical trials will continue to be transformed "The adoption of new technologies in 2020 and beyond have the potential to provide clinicians with improvements in overall patient engagement,outcomes,quality of life,practicality in use,and reduce clinical development time and associated costs."


SupplyChainToday.com (@SupplyChainBlog)

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Are you sure you want to view these Tweets? "Lets's go invent tomorrow instead of worrying about what happened yesterday." This robotic car has legs! It isn't anything to be ashamed of. Here are a few videos that may help out.


Jeffrey Skipper on LinkedIn: #innovation #artificialintelligence #machinelearning

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DETECTING POTHOLES using Computer Vision and Machine Learning Potholes are one of the largest problems every city faces around the world. And it is getting worse as citizens are filing complaints to claim damages to their car caused by potholes During his free time, yashwanth chakka decided to prototype a model for detecting potholes in a pre-recorded video feed Expected use cases could mostly be for road infrastructure management (e.g.


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