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10 Common Uses for Machine Learning Applications in Business

#artificialintelligence

Machine learning has advanced from the age of science fiction to a major component of modern enterprises, especially as businesses across almost all sectors use various machine learning technologies. As an example, the healthcare industry is utilizing machine learning business applications to achieve more accurate diagnoses and provide better treatment to their patients. Retailers also use machine learning to send the right goods and products to the right stores before it is out of stock. Medical researchers are also not left out when it comes to using machine learning as many introduce newer and more effective medicines with the help of this technology. Many use cases are emerging from all sectors as machine learning is being implemented in logistics, manufacturing, hospitality, travel and tourism, energy, and utilities.


Senior/Principal Machine Learning Engineer - Game Engine Security

#artificialintelligence

You'll need industry experience working on leveraging machine learning, data regression and rules based models to apply these skills to solve some of the security problems we have on Roblox game engine. You need to be an expert in C, data structures, algorithms and networking. You should have a lot of interest in designing and building ML based security into the systems and software.


Pay what you want for this stacked video game development bundle

Mashable

TL;DR: As of May 10, you can pay what you want for the Hardcore Game Developer Certification Bundle. Learning to develop your own games isn't just a way to dive deeper into your gaming obsession. It could potentially guide you to a new career path. With this nine-course Hardcore Game Developer Bundle, you'll be well on your way toward becoming a multi-platform professional. This training includes nine different courses that cover mobile game development, Python foundations, Shader Graph, and Unity.


AI: Preventing a Frankenstein's monster

#artificialintelligence

One of the key lessons taught by Mary Shelley's infamous story of Frankenstein's monster is that things aren't always greater than the sum of their parts, regardless of the quality of the parts themselves An altogether less visceral but equally composition-based process goes into building today's artificial intelligence (AI) platforms. One of the most powerful AI models used today is deep learning, a machine learning algorithm that identifies patterns in different sets of input data, and uses them to generate insights that help inform human decision-making. Deep learning applies vast layers of artificial neural networks to data, creating a'black box' of calculations that are impossible for humans to understand. Luckily for data scientists, preventing the creation of a'monster' when developing AI requires an understanding of data validity, rather than the supernatural. AI platforms built on deep learning assume that more data equals better accuracy.


Unity C# Scripting : Complete C# For Unity Game Development

#artificialintelligence

This Course will Teach You everything that you need to get started with C# scripting in Unity. You will learn step by step from scratch every feature of the C# language as well as how to implement it in Unity's API for building Games. I have taught C# Scripting to thousands of people on my Youtube Channel: Charger Games. I love teaching complex concepts in a simple way, so even if you have no previous coding experience, no need to worry, I'm gonna teach you everything step by step in the perfect order. Learn the basic concepts, tools, and functions that you will need to build fully functional Games with C# and the Unity game engine.


Zammo unfurls conversational AI integration service

#artificialintelligence

Zammo.ai today launched a conversational AI platform that makes it simpler to engage customers via multiple voice assistants, interactive voice response (IVR)/telephony, and chatbots without having to write any code. That no-code approach, provided via the integrations the company has embedded within its software-as-a-service (SaaS) platform, enables organizations to create workflows that span multiple conversational AI technologies without the aid of an internal IT team or a systems integrator, said company CEO Alex Farr. "No one from IT is required," he said. That approach provides the added benefit of eliminating the need to force customers to embrace a specific conversational AI platform, noted Farr. Organizations can add support for conversational AI platforms based on customer preferences, he said.


What is Azure Synapse and how is it different from Azure Data Bricks?

#artificialintelligence

Azure Synapse Analytics is an unlimited information analysis service aimed at large companies that was presented as the evolution of Azure SQL Data Warehouse (SQL DW), bringing together business data storage and macro or Big Data analysis. Synapse provides a single service for all workloads when processing, managing and serving data for immediate business intelligence and data prediction needs. The latter is made possible by its integration with Power BI and Azure Machine Learning, due to Synapse's ability to integrate mathematical machine learning models using the ONNX format. It provides the freedom to handle and query huge amounts of information either on demand serverless (a type of deployment that automatically scales power on demand when large amounts of data are available) for data exploration and ad hoc analysis, or with provisioned resources, at scale. As one of the few Microsoft's Power BI partners in Spain, at Bismart we have a large experience working with both Power BI and Azure Synapse.


Installing cuDNN and CUDA Toolkit on Ubuntu 20.04 for Machine learning tasks

#artificialintelligence

It is always convoluted and challenging to install a CUDA toolkit and library that needs to interact with your NVIDIA GPU on an Ubuntu machine. However, if done right, the CUDA toolkit harnessing your NVIDIA GPU can be a great tool that can harness the power of GPU to produce fast applications. The basic requirement for following instructions in this article is a computer with Ubuntu 20.04 installed with an NVIDIA GPU. In my case, it was NVIDIA GeForce GTX 1650 Ti. Further, at the time of writing this article, I installed the latest version of the CUDA toolkit which was CUDA Toolkit 11.3.


Pay what you want for a video game development bundle — with one catch

Mashable

TL;DR: As of May 3, pay what you wish for the nine-course Hardcore Game Developer Bundle. If your price is higher than the average price, you'll get the full bundle. Learning to develop your own games isn't just a way to dive deeper into your gaming obsession. It could potentially guide you to a new career path. With this nine-course Hardcore Game Developer Bundle, you'll be well on your way toward becoming a multi-platform professional.


This web app uses computer vision to teach you the ASL alphabet

Engadget

When it comes to learning the American Sign Language alphabet, there are various resources out there. You can turn to instructional books and videos -- even Giphy can offer some help. Now you can add a tool called Fingerspelling.xyz to that list. It comes courtesy of creative studio Hello Monday and the American Society for Deaf Children. They've created a web-based experience you can access on your computer that takes advantage of machine learning and computer vision software to make the process fun and easy.