Voxstar AI Automation
Welcome to Automating Everything from Voxstar, The AI Automation Company, the ultimate podcast for tech enthusiasts, developers, and business leaders who are eager to revolutionize the way they work by integrating cutting-edge automation tools.
Whether you're just starting your automation journey or are a seasoned expert, this podcast dives deep into the technologies, trends, and strategies that are transforming industries today.
Each episode explores real-world applications, from simple task automation to advanced AI-driven processes. We cover everything from workflow automation and robotic process automation (RPA) to cloud computing, machine learning, and beyond. With expert interviews, practical insights, and case studies from global innovators, you'll learn how to leverage automation to streamline operations, boost efficiency, and future-proof your business.
Join us as we break down complex technical concepts into actionable steps, empowering you to automate anything and everything. Whether you’re interested in automating your code, scaling your startup, or optimizing enterprise systems, Automating Everything is your go-to resource for unlocking the future of automation.
Subscribe now and discover how automation can change your world—one process at a time!
Episodes
45 episodes
#045 AI — Design, architecture, and use of Github Copilot:
Introduction: GitHub Copilot is an artificial intelligence (AI) tool developed by GitHub, in partnership with OpenAI, that provides developers with code suggestions and snippets based on natural language descriptions. The tool uses machi...
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Season 1
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Episode 45
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8:52
#044 How can AI be used to improve Dev Ops and Platform Engineering?
AI can be used to improve DevOps and platform engineering in several ways. Some of the key ways AI can be leveraged include:One of the primary ways AI can be used to improve DevOps and platform engineering is through intelligent automati...
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Season 1
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Episode 44
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11:51
#043 DevOps and Platform Engineering
DevOps and platform engineering are both critical roles in modern software development. While both roles share similar goals, such as improving software quality
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Season 1
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Episode 43
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11:28
#042 Gary Lupyan and his paper How Language Affects Thought
Gary Lupyan is a cognitive psychologist who is best known for his research on the relationship between language and cognition. In his paper titled “How Language Affects Thought,” Lupyan explores the idea that language can shape the way we think...
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Season 1
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Episode 42
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13:49
#041 What is The Development Of BloombergGPT?
BloombergGPT is a language model developed by Bloomberg that is designed to understand and analyse financial data. This model is based on the foundation of the OpenAI GPT-3 model, one of the most advanced natural language processing models in t...
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12:34
#040 A Brief History of Geoffrey Hinton — A.I. Researcher
Geoffrey Hinton is a world-renowned computer scientist and AI researcher who is widely regarded as one of the founding fathers of deep learning. His research has been instrumental in advancing the field of AI and has led to significant breakthr...
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Season 1
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Episode 40
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10:56
#039 A Brief History on Timnit Gebru — A.I. Researcher
Timnit Gebru is a prominent Ethiopian-American computer scientist and researcher in AI ethics. She has been a leading voice in the field of AI ethics, working to draw attention to the social and ethical implications of AI technologies.
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Season 1
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Episode 39
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8:09
#038 How AI can be guided by proper ethics
Artificial Intelligence (AI) is an increasingly popular field that can have a transformative impact across multiple industries, including healthcare, transportation, finance, and many others. As AI technologies continue to develop and mature, t...
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Season 1
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Episode 37
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16:00
#037 How to make AI Tools responsible
As an AI language model, I cannot have an opinion or take an action, but here are some possible ways to make AI tools responsible:s an AI language model, I cannot have an opinion or take an action but here are some possible ways to make ...
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Season 1
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Episode 37
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22:35
#036 Slowing A.I. Development as it’s moving too fast
The article discusses Elon Musk’s warning against training AI systems that outperform GPT-4, a language-generating AI system. Musk argues that such systems could become too powerful and could pose a threat to humanity. He calls for a pause in t...
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Season 1
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Episode 36
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13:24
#35 Analysing ChatGBT
The role of AI in the hiring process. It explains how AI is transforming the job market by analysing vast amounts of data, helping recruiters identify the best talent, and removing biases from the hiring process. It also discusses how AI can im...
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Season 1
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Episode 35
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9:29
#034 Chatbots, developed to have a bias?
After reading an exciting and interesting article on Chatbots from The New York Times, which outlined how they could be reprogrammed, and reborn to have biased, racist points of view and results that may always agree with certain points of view...
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Season 1
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Episode 34
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12:17
#033 What is Linear Regression
Linear Regression is a type of mathematical tool that helps us make predictions about things. Let’s say you want to know how much money you’ll earn if you work for 10 hours a day. Linear Regression can help you figure that out!
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Season 1
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Episode 33
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10:25
#32 ULEZ: Issues Resolved and Issues it May Cause in the Future
Could AI be used to read traffic models and determine the best way to resolve traffic congestion when driving to London and reaching…Could AI be used to read the traffic models and find out the best way to resolve the traffic congest...
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9:51
#031 How do we create a Robot that will make Humans Lazy and useless in the Future?
There are many steps and processes involved in using AI to build your robot. Doing so, will it eliminate all the boring tasks we have to do. By eliminating the boring stuff, are we going to become lazy and let the robot do these tasks? We have ...
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Season 1
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Episode 31
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18:18
#030 How to make AI Tools responsible
As an AI language model, I cannot have an opinion or take an action, but here are some possible ways to make AI tools responsible.As an AI language model, I cannot have an opinion or take an action but here are some possible ways to ...
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Season 1
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Episode 30
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21:57
#29 Deep machine learning provides state-of-the-art performance in image-based plant phenotyping
A quick analysis of the paper in which Michael Pound was involved in writing. It was located on Google Scholar and https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632296/A...
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Season 1
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Episode 29
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12:07
#28 How to Integrate Artificial Intelligence into Your Business
Artificial Intelligence (AI) has become an essential part of modern business, and it has the potential to transform the way we do business. From automating routine tasks to providing personalized customer experiences, AI can help businesses imp...
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Season 1
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Episode 28
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15:29
#027 Artificial General Intelligence
Artificial Intelligence (AI) has been advancing rapidly in recent years, and one of the most intriguing topics in the field is Artificial General Intelligence (AGI). AGI is the hypothetical intelligence of a machine that can understand or learn...
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Season 1
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Episode 27
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18:28
#026 What is Google’s Gemini AI? How will it compare to ChatGBT?
Another key difference between the two models is the type of tasks they were trained to perform. While ChatGPT was trained primarily to generate natural language responses to a given prompt, Gemini was trained to perform a broader range of task...
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Season 1
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Episode 27
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13:49
#025 How can Governments especially the USA and UK regulate AI systems
The regulation of AI systems is becoming increasingly important, as more businesses and organizations adopt AI technologies to automate processes, improve decision-making, and enhance customer experiences. Governments, including the USA and UK,...
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Season 1
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Episode 25
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9:48
#024 What are Delysium and AI Metabeings
Delysium is a blockchain-based gaming platform that aims to revolutionize the gaming industry. The company was founded in 2017 by a team of gaming and blockchain experts who recognized the potential for blockchain technology to transform the wa...
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Season 1
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Episode 24
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14:19
#023 AI by Mike Pound RootNav 2.0:
“RootNav 2.0: Deep Learning for Automatic Navigation of Complex Plant Root Architectures” is a research paper authored by Mike Pound, Andrew French, and others, which was published in the journal “Plant Physiology” in 2016. The paper presents a...
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Season 1
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Episode 23
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8:49
#22 Quick Analysis on AI Report on ImageNet Classification with Deep Convolutional Neural Networks
This is a research paper titled “ImageNet Classification with Deep Convolutional Neural Networks” authored by Geoffrey Hinton, Alex Krizhevsky, and Ilya Sutskever. This paper is a seminal work in the field of artificial intelligence and deep le...
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14:23
#021 Moving from Google Search to Bing AI Search
The new demo from Microsoft, Bing looks ace with the New Bing Search, which uses a powerful more adaptive of ChatGPT, a special training model for Search, Chat, and the browser. This is the new co-pilot for Web Searches. They will be many skept...
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9:20