Hi Explorer! Tom just published a blog article about how to choose the right one for your research. The tip of this month is a collection of advice on generative AI from Prof. Ethan Mollick.
"A machine has value only as it produces more than it consumes — so check your value to the community."
(⇓ Scroll to the bottom for the answer.)
Does artificial intelligence produce more than it consumes? While I find today's generative AI tools powerful and valuable, I wonder how much energy we consume to run all the calculations.
We will be at The Battery Show
Viral Vaghela, whom you might know as our webinar host, and Tim Bradow, our business development manager, will be at The Battery Show in Detroit, MI, next week. If you are at the show, please stop by Booth 4333 and say hello!
If you are not in the battery industry, you might not think about it every day, but batteries are everywhere in our lives, from phones and laptops to EVs and energy storage systems for businesses and homes.
As the renewable energy industry grows, so does the need for better batteries to store excess energy. I find it fascinating that improving battery performances involves a wide range of research fields, from chemistry and materials science to electrical and mechanical engineering.
As Angela discussed in her last webinar, battery characterization spans from atomic-level structure analysis to the evaluation of an entire battery package, and X-ray CT plays a vital role in seeing defects and misalignments in batteries non-destructively.
You can see where various X-ray analyses are used in the battery industry in our Battery eBook, and Viral and Tim will be happy to answer any questions.
Many benchtop CT scanners are versatile and affordable, perfect for your first CT scanner or a supplement to a larger, more complicated system to increase the throughput of your imaging operations.
As the price range of CT scanners is wide, the price of a benchtop scanner varies quite a bit depending on its capabilities. The high end of that range overlaps with floor-standing models, and whether or not to invest a lot of money into an expensive benchtop can be a complex decision.
My colleague, Tom Concolino, wrote a blog article to help people considering benchtop CT scanners navigate their evaluation and decision-making process. He has been with Rigaku as a sales manager for 18 years and helped many people get funding and choosing the right instrument. I hope you find his article helpful. You can reach out to him on LinkedIn if you have any questions.
Regardless of your industry or research field, we see the news and effects of generative AI, or genAI, everywhere nowadays. I became interested in machine learning before ChatGPT became a thing because of CT image analysis. What I learned then, such as how neural networks work, came in handy when understanding generative AI and deciding how to use it.
I've been reading a lot about genAI and found Prof. Ethan Mollick's explanation and advice elegant, practical, and useful. He is a professor of management at the Wharton School of Business at the University of Pennsylvania. His take on genAI as a professor of management is different from that of marketers or computer scientists who often appear in public discussing the topic. Here are a few samples:
Co-intelligence: Living and Working with AI by Ethan Mollick He provides very clear and practical advice on how to engage with AI. Though some of the stories he mentioned are scary, his balanced, logical, and practical approach kept me hopeful that there are ways to use AI without losing my identity, to benefit from it without making ignorant mistakes, and to learn from it without being misled.
