Late last year, when OpenAI introduced ChatGPT, industry observers responded with both praise and worry. We heard how the technology can abolish computer programmers, teachers, financial traders and analysts, graphic designers, and artists. Fearing that AI will kill the college essay, universities rushed to revise curricula. Perhaps the most immediate impact, some said, was that ChatGPT could reinvent or even replace the traditional internet search engine. Search and the related ads bring in the vast majority of Google’s revenue. Will chatbots kill Google?
ChatGPT is a remarkable demonstration of machine learning technology, but it is barely viable as a standalone service. To appropriate its technological prowess, OpenAI needed a partner. So we weren’t surprised when the company quickly announced a deal with Microsoft. The union of the AI startup and the legacy tech company may finally pose a credible threat to Google’s dominance, upping the stakes in the “AI arms race.” It also offers a lesson in the forces that will dictate which companies will thrive and which will falter in deploying this technology.
Read more here.
Haissam Badih PhD, is the Researcher and Professor at the Department of Math and Computer Science at the Lawrence Technological University, Southfield, Michigan, USA. He earned His B.S. degree in Computer Science from the University of Windsor at Ontario Canada, his M.S. Degree from Lawrence Technological University, and a Ph.D. in Computer Science and Informatics from Oakland University in 2020. He will begin his academic career at Lawrence Technological University in 2021. He has worked in various software companies in software engineering and architecture.He authored numerous journal and conference papers that were peer-reviewed. His current research and development interests and activities in Project DIAMOnD for Automation Alley in blockchain for building a 3D printer marketplace for the supply chain to support all kinds of business, including 4.0 Industry. This work on blockchain for autonomous systems design, sensor fusion, intelligent agents, automation, human/machine interaction, robotic programming, and interfacing/coding. His research dissertation, entitled "Advance and specialize our application of blockchain for webcam/microphone access control" and "Add Blockchain in A.I. for communication," has worked within research on the Blockchain and Decoy deception research project. He worked on blockchain and decoy deception using smart contracts. This project utilized a Blockchain application that enforces limited access to webcam and microphone devices. We utilize Blockchain's Smart Contract to form a contract between the user's computer and another party connected via a network.
