Nowadays we are hearing a lot of buzz around artificial intelligence or AI and robotics. We have even felt their presence in our surroundings in one or the other way. The technology sounds new but its seeds have been long sown. Do you know that AI found its way into film-business around 100 years ago? Yes, the 1927 release Metropolis depicts AI that takes the form of a humanoid robot with an intent on taking over the titular mega-city by inciting chaos.

In 2016, the enthusiasm for chatbots knew no limits. For example, according to a survey by Oracle, around 80 percent of all decision-makers in companies assumed that they would be using chatbots in sales, marketing, and customer service by 2020. And according to another prediction, more than two-thirds of all office workers should be interacting with chatbots on a daily basis by 2020. So where are we at right now and what can we expect after the chatbot hype? Download our free e-book to learn everything you need to know about chatbots for your business.

Please take in mind that I am not expert, I am passionate to learn and explore about the field, if you have any suggestions/improvements, we would be happy to hear, concerning the quality and production, we still few months in, and we are looking enhancing the quality and production.

I hope this is useful for someone. I think the algorithms this research group has been developing are the future of AI, rather than trying to see how we can train 3 Trillion parameter transformers lol!

Stepping into the field of deep learning, I've realized that sometimes an informative blog post could serve as an extremely helpful friend to guide you through learning and researching. So I decided to gather all the informative and well-explained blog posts I've ever read and hoping to get some more from you guys:)

The COVID-19 pandemic has caused drama in the local supply chain here, but I am trying to decide on a machine to train and deploy a model built around Mask-RCNN (Resnet 101), and perhaps experiments with VGG-16. The hardware vendor has recommended a system built around a 10900X/X299 with a single RTX5000 (16GB of VRAM). Are the unique extensions in the Intel architecture worth the clock/core/fab gen hit? Would I immediately run into issues with the 11GB VRAM on the 2080Ti cards? The RTX5000 has 16GB of VRAM but is double the cost and has less Stream processors.

I recently completed a data science bootcamp, and during my last week, my class and the graduating UX/UI design class got headshots done. I was the first person to go up, and I started chatting with the photographer. She mentioned how she also does headshots for another coding bootcamp as well and coders are much more awkward in front of a camera. Then, she asked me what I did in my design class. Machine learning is quickly becoming part of the fabric of our lives and the world we live in.

"High demand and tight labor markets have made candidates with AI skills highly competitive, but hiring techniques and strategies have not kept up," said Peter Krensky, research director at Gartner. "In the recent Gartner AI and Machine Learning Development Strategies Study, respondents ranked "skills of staff" as the No. 1 challenge or barrier to the adoption of AI and machine learning (ML)." Departments recruiting AI talent in high volumes include marketing, sales, customer service, finance, and research and development. These business units are using AI talent for customer churn modeling, customer profitability analysis, customer segmentation, cross-sell and upsell recommendations, demand planning, and risk management. A significant portion of AI use cases are reported from asset-centric industries supporting projects such as predictive maintenance, workflow and production optimization, quality control and supply chain optimization.

Ok, you might not mind being Will Smith, but you wouldn't want to be his character Del Spooner in the film iRobot where robots start getting a little too smart taking matters into their own hands, which turns out to be not so great for humans. What IS great for humans is that today there is no denying the huge shift to AI and robotics playing a growing and necessary role in our lives – particularly when it comes to business operations. Now, Micro Focus brings that value to you. SMAX overcomes the limitations of manual ESM and ITSM tools to deliver a connected, automated, informed experience--powered by machine learning--to every employee; the integration of robotic process automation with SMAX takes ESM to the next level. With SMAX and RPA, service management automation is quick, easy, and codeless.