We have mapped over 120 companies; new and old, large and small, according to their subsegment and the precise type of automation they provide. Find an intro & explanation to the map.
Read MoreAutomation Software landscape
Category: Technology
How has Artificial Intelligence impacted talent acquisition?
Artificial Intelligence has made an impact in the business world. HR professionals have used Artificial Intelligence to improve their talent acquisition process and ease one of the process’s most challenging parts. According to them, talent acquisition is an important area where AI had made an impact.
Read MoreChimera Painter: Google’s new AI-powered tool to create fantasy creatures
The latest offering from Google AI is a machine learning tool that helps turn our messy doodles into fantasy creatures.
Read MoreUsing Reinforcement Learning to build a Self-Learning grasping Robot
In this post, I will explain my experience over the course of a year of working with Reinforcement Learning (RL) on autonomous robotics manipulation. It is always hard to start a big project which requires many moving parts. It was undoubtedly the same in this project. I want to pass the knowledge I gathered through this process to help others overcome the initial inertia.
Read MoreOpenAI GPT-3 wrote this article about Webpack
This article was written by OpenAI GPT-3 model, using “davinci” engine, I gave it a small input and this is the final output. Can you tell the difference between this and a human-made article? Obviously the formatting can be improved, and some part are missing but count that, my input was just “webpack is a build tool” and nothing more.
Read MoreThe evolution of Big Data compute platforms – past, now and later
A journey into the evolution of Big Data Compute Platforms like Hadoop and Spark. Sharing my perspective on where we were, where we are and where we are headed. Over the past few years I have been part of a large number of Hadoop projects. Back in 2012–2016 the majority of our work was done using on-premises Hadoop infrastructure.
Read MoreHow to build AI applications users can trust
To work effectively, algorithms need user data — typically on an ongoing basis to help refine and improve the experience. To get user data, you need users. And to get users, especially lasting users who trust you with their data, you need to provide options that suit their comfort levels now while still allowing them to change them in future. In essence, to get user buy-in, you need a two-step approach: Let users know what data you want to collect and why, and give them control over the collection.
Read MoreForward Escape goes down another Rabbit Hole…
𝙌𝙪𝙖𝙣𝙩𝙪𝙢 𝙄𝙣𝙩𝙚𝙡𝙡𝙞𝙜𝙚𝙣𝙘𝙚; 𝙏𝙝𝙚 𝙈𝙖𝙩𝙧𝙞𝙭 𝙤𝙧 𝙏𝙝𝙚 𝙊𝙧𝙖𝙘𝙡𝙚?“Q͏u͏a͏n͏t͏u͏m͏ c͏o͏m͏p͏u͏t͏e͏r͏s͏ …w͏i͏l͏l͏ b͏e͏ t͏h͏e͏ f͏i͏r͏s͏t͏ t͏e͏c͏h͏n͏o͏l͏o͏g͏y͏ t͏h͏a͏t͏ a͏l͏l͏o͏w͏s͏ u͏s͏e͏f͏u͏l͏ t͏a͏s͏k͏s͏ t͏o͏ b͏e͏ p͏e͏r͏f͏o͏r͏m͏e͏d͏ i͏n͏ c͏o͏l͏l͏a͏b͏o͏r͏a͏t͏i͏o͏n͏ b͏e͏t͏w͏e͏e͏n͏ p͏a͏r͏a͏l͏l͏e͏l͏ u͏n͏i͏v͏e͏r͏s͏e͏s͏.” 𝘿𝙖𝙫𝙞𝙙 𝘿𝙚𝙪𝙩𝙨𝙘𝙝 @ 𝙏𝙀𝘿 2005What started me down this Rabbit Hole…I read the article “Google Supremacy” by NASA (The paper was published on NASA’s Website, and Google later removed it) yet widely covered by Fortune, Financial Times, and others.
Read MoreBenchmark M1 vs Xeon vs Core i5 vs K80 and T4
Since their launch in November, Apple Silicon M1 Macs are showing very impressive performances in many benchmarks. These new processors are so fast that many tests compare MacBook Air or Pro to high-end desktop computers instead of staying in the laptop range. It usually does not make sense in benchmark. But here things are different as M1 is faster than most of them for only a fraction of their energy consumption.
Read MoreTop 5 Machine Learning programming languages in 2021
If you are interested in the fields of artificial intelligence and machine learning, you’re probably planning your path forward in the exciting and dynamic world of programming. But which languages should you study if you see AI and machine learning in your future?
Read MoreHow AI and ML innovations are driving the need for hardware transformation
Presented by SambaNova Systems
To stay on top of cutting-edge AI innovation, it’s time to upgrade your technology stack. In this VB Live event, you’ll learn how innovations in NLP, visual AI, recommendation models, and scientific computing are pushing computer architecture to the cutting edge.
Graphcore and the problem with First-Party benchmarks
Let’s talk about benchmarks this week and why you need to be careful when you see benchmarks from any company, let alone a young engineering-driven firm like Graphcore.
Read MoreNvidia moves its Software closer to cloud customers through an AWS Storefront
Nvidia is making it easier for AWS cloud customers to find and integrate Nvidia software applications into their AI and deep learning projects through an all-new, all-in-one “storefront” in the AWS Marketplace.
Read MoreDemocratizing access to AI with K3ai (keɪ3ai)
K3ai (kei3ai) is a lightweight infrastructure-in-a-box specifically built to install and configure AI tools and platforms to quickly experiment and/or run in production over edge devices.
Read MoreMicrosoft debuts Power Automate process advisor and new RPA features
Microsoft today announced the public preview of process advisor, a process mining capability in Power Automate that identifies processes for automation. At the same time, Microsoft Power Automate Desktop has hit general availability, marrying robotic process automation (RPA) capabilities to a desktop authoring experience. Microsoft today also added four RPA enhancements to Power Automate: role-based sharing, lifecycle management, setting execution priorities, and real-time run and queue monitoring.
Read MoreNew IBM-MIT system brings AI to microcontrollers – paving the way to ‘smarter’ IoT
Smart homes are now all the rage, with smart speakers controlling your lights, your door lock, your fridge. But what if you didn’t want to use a smart speaker or any sophisticated computer to operate your devices? What if instead, a device like a lock had a cheap, tiny but powerful embedded AI that could recognize your face to open the door – and run on batteries for a year, no WIFi or smart speaker needed?
Read MoreDesigning AI agents’ behaviors with Behavior Trees
In our previous posts, we discussed about Planning and Acting. Both are for planning, one with a Descriptive Model and the other with an Operational Model of actions. Acting with Operational Model uses Refinement Methods to refine abstract tasks into subtasks or commands that can be executed by Execution Platform. In a rather complex domain where there are multiple methods that we can use to refine a task, this approach excels.
Read MoreIntroducing “Lux” for faster Data exploration
Most of the time spent by data scientists is in data cleaning , data exploration . A detail EDA (exploratory data analysis) is very much important and significant in the data science life cycle. In the year 2020 , there has been lot of automatic EDA libraries have been developed to save the time for the data scientist. Some of the most commonly used automatic EDA are listed in the following blog.
Read MoreQualcomm’s Snapdragon 888 is an AI and computer vision powerhouse
Although Apple’s latest A14 Bionic chip enabled the iPhone 12 family and iPad Air tablets to deliver impressive performance improvements, Qualcomm is making clear that the next generation of Android devices will rely heavily on advanced AI and computer vision processors to retake the performance lead.
Read MoreHow our new Technologies remade the World from 2020 to 2050
The remarkable advance of Infotech and Biotech during those decades provided the foundation for The Transformation as seen from the year 2100.
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