How do our bodies remember? The more we move, the more our muscle cells begin to make a memory of that exercise. Explains: Let our writers untangle the complex, messy world of technology to help you understand what's coming next. "Like riding a bike" is shorthand for the remarkable way that our bodies remember how to move. Most of the time when we talk about muscle memory, we're not talking about the muscles themselves but about the memory of a coordinated movement pattern that lives in the motor neurons, which control our muscles. Yet in recent years, scientists have discovered that have a memory for movement and exercise.

Suppose you are a professor of pedagogy, and you assign an essay on learning styles. The construct of "learning styles" is problematic because it fails to account for the processes through which learning styles are shaped. Some students might develop a particular learning style because they have had particular experiences. Others might develop a particular learning style by trying to accommodate to a learning environment that was not well suited to their learning needs. Ultimately, we need to understand the interactions among learning styles and environmental and personal factors, and how these shape how we learn and the kinds of learning we experience. And how would your grade change if you knew a human student hadn't written it at all?

In recent years, artificial intelligence (AI) has made incredible strides in its ability to generate human-like text. As a result, AI writing is becoming increasingly commonplace, with businesses and organisations using it to create everything from marketing copy to financial reports. While AI writing is still in its early stages and far from perfect, it's clear that it poses a threat to the livelihood of professional writers. After all, if a machine can produce text that is indistinguishable from that of a human writer, why would anyone need to hire a real person to do the job? It's not just low-skilled jobs like content writing that are at risk of being automated by AI.

What happens when robots not only learn to write well, but the tech becomes easily accessible and cheap? As Hal Crawford explains, it'll likely be teachers who feel the effects first. There are two schools of thought when it comes to artificial intelligence: there are the people who have heard of the GPT-3 language model, and then there are those who have heard about it, gone to the OpenAI site, created a guest login and tried it out for themselves. The first group contains people who are wondering what the big deal is. The second group does not. I haven't heard of anyone who's actually used GPT-3 and doesn't think AI is going to change the world profoundly. Education in particular is going to feel its influence immediately.

Microbiology is one of the most labor-intensive disciplines within the clinical laboratory field, and its role is of vital importance to overall healthcare. It is well established that laboratory professionals are asked to do more with fewer resources and to constantly demonstrate the value of laboratory medicine in clinical outcomes. "As the demand for laboratory testing increases and reimbursement rates and qualified personnel dwindle at a rapid speed, COPAN is investing in developing comprehensive A.I. solutions to support and amplify the laboratories' ingenuity and maximize the use of their resources," stated Norman Sharples, CEO of COPAN Diagnostics, Inc. "Having worked in a clinical laboratory in the past, it is fascinating to see Microbiology at an interesting juxtaposition where traditional techniques, like planting and streaking on culture media, combine with incredible advances in Artificial Intelligence and digital plate reading. COPAN is staying at the forefront of this new exciting frontier for Microbiology," added Sharples. With the interest in A.I. in Microbiology increasing, COPAN is excited to support a new American Society for Microbiology (ASM) webinar series titled "Artificial Intelligence: Applications for the Clinical Microbiology Laboratory of Today."