The rapid advance of artificial intelligence technology has raised concerns about eliminating jobs held by humans. Professional photography is now coming into focus as one such potential casualty. "The rapid advancements in AI and image processing are transforming photography from a skill-based art to one that is increasingly technology-driven. This evolution is making high-quality photography accessible to a broader audience, challenging the traditional notion of professional photography as a skill," according to a report published Tuesday by Medium. "As we move further into this AI-driven era, it becomes evident that the role and relevance of professional photography skills, as we have known them, are becoming obsolete."

Here's a sample of the surging headlines about AI from just one day, most triggered by the ChatGPT phenomenon (emphasis added): How Artificial Intelligence Can Boost Diversity & Inclusion (Forbes.com) Can Artificial Intelligence Help Detect Lung Cancer? And my favorite: "Can pigeons match wits with artificial intelligence?" ChatGPT, an AI application that allows machines to write and respond in uncannily humanlike ways, reached 100 million users in about two months. This makes it the fastest-growing app in history, according to a report from UBS cited by Reuters.

The rapid rise of ChatGPT has spawned equal proportions of hype, horror, and hope about the potential of artificial intelligence. Here's a sample of the surging headlines about AI from just one day, most triggered by the ChatGPT phenomenon (emphasis added): How Artificial Intelligence Can Boost Diversity & Inclusion (Forbes.com) Can Artificial Intelligence Help Detect Lung Cancer? And my favorite: "Can pigeons match wits with artificial intelligence?" ChatGPT, an AI application that allows machines to write and respond in uncannily humanlike ways, reached 100 million users in about two months. This makes it the fastest-growing app in history, according to a report from UBS cited by Reuters.

The Artificial Intelligence revolution is here. That might sound like hyperbole. After all, the world looks the same. The revolution didn't arrive with Skynet and robots or with Blade Running cyborgs. A small chat at the bottom right hand corner. If you're imagining Siri or Alexa or even Clippy (Rest in Peace, Clippy), it's so much more than that.

Three years ago, I stood in a high-tech lab at a technical university and stared at the giant flat screen monitor. The professor asked me, "Can you tell me which of these samples was generated via Artificial Intelligence?" At the top, a student had asked a complex question related an application of calculus for calculating fluid flow and heat transfer. Below, a graduate student and an AI chat bot had both answered the question. I studied both answers over and over again. I looked for clues in the syntax. I tried to find the humanity within the the answers. Finally, I shook my head. I couldn't tell the difference. Both options were clear and concise with just a touch of colloquial friendliness while still remaining slightly cold and objective.

With AI rapidly changing the world of work, humans must focus on how we can work alongside, and set ourselves apart from, robots. This means refining education to ensure young people leave school equipped with soft skills, the ability to think critically, and a practical knowledge of AI.

There is a great demand for the robotization of manufacturing processes fea-turing monotonous labor. Some manufacturing tasks requiring specific skills (welding, painting, etc.) suffer from a lack of workers. Robots have been used in these tasks, but their flexibility is limited since they are still difficult to program/re-program by non-experts, making them inaccessible to most companies. Robot offline programming (OLP) is reliable. However, generat-ed paths directly from CAD/CAM do not include relevant parameters repre-senting human skills such as robot end-effector orientations and velocities. This paper presents an intuitive robot programming system to capture human manufacturing skills and transform them into robot programs. Demonstra-tions from human skilled workers are recorded using a magnetic tracking system attached to the worker tools. Collected data include the orientations and velocity of the working paths. Positional data are extracted from CAD/CAM since its error when captured by the magnetic tracker, is signifi-cant. Paths poses are transformed in Cartesian space and validated in a simu-lation environment. Robot programs are generated and transferred to the real robot. Experiments on the process of glass adhesive application demonstrat-ed the intuitiveness to use and effectiveness of the proposed framework in capturing human skills and transferring them to the robot.

By the 1950s, several scientists, philosophers, mathematicians, and others had AI incorporated inside their minds. But human beings have now learned how to transform the concept into reality. In recent times, AI has widespread applications everywhere. AI has the potential to learn quickly from a significant amount of data. It ensures that some of the most technical issues can be tackled without hassle. But it can also feed your excitement and squeeze out your creativity at work.

Will robots replace human workers? Robots and artificial intelligence (AI) are expected to permeate our daily lives by 2025. This could have huge implications on several business sectors, most notably healthcare, customer service and logistics. Already, AI is responsible for medical research breakthroughs and climate research, not to mention self-driving cars. Will robots replace human workers?

Will robots replace human workers? Robots and artificial intelligence (AI) are expected to permeate our daily lives by 2025. This could have huge implications on several business sectors, most notably health care, customer service, and logistics. Already, AI is responsible for medical research breakthroughs and climate research, not to mention self-driving cars. Will robots replace human workers?