Making a Psychologist: Vibe Coding a Data Collector
This is part 2 of Making a Psychologist, a blog series written in part to promote my good new textbook, Fundamentals of Biological Psychology: A Critical Perspective.…

This is part 2 of Making a Psychologist, a blog series written in part to promote my good new textbook, Fundamentals of Biological Psychology: A Critical Perspective.…

"This research demonstrated that significant herbicide use reductions are possible with smart sprayers compared with broadcast applications,” reports Anita Dille, Ph.D., WSSA member scientist, corresponding author, Kansas State University agronomy professor, and her research team.

How instructors are responding to the rise in AI Artificial intelligence (AI), while not a new topic, has risen in popularity since the development of software like ChatGPT and image generators that create visuals from phrases such as ‘purple dog riding a bike.’…

Machine learning models, particularly those based on deep neural networks, have revolutionized the fields of data analysis, image recognition, and natural language processing. A key factor in the training of these models is the use of variants of gradient descent algorithms, which optimize model parameters by minimizing a loss function. However, the training optimization problem for neural networks is highly non-convex, presenting unique challenges.

The use of artificial intelligence with sensing techniques for the management of insect pests and diseases in cotton

Doomsday undone. Artificial wombs, cryopreserved embryos and AI could allow civilizations and ecosystems to survive on post-Apocalypse worlds and exoplanets

The creation of robot athletes is a novel benchmark problem for techniques in artificial intelligence, machine learning, computer vision, and intelligent robotics. The goal is to develop intelligent robot systems that can participate in sports events following the same rules as humans.

In recent years, a progressive development of Artificial Intelligence (AI) systems for Decision Support Systems (DSS) has taken place in the field of service and resource management.…

An artificial intelligence system developed by a Cornell-led team has identified a promising material for creating more efficient fuel cells – a potential breakthrough in both materials science and machine learning.

In May 2013, Defense Distributed, an online open-source organisation, released a plan called ‘The Liberator’ on the Internet. The plan allowed the manufacturing of a 3D-printable, single-shot handgun.…

Machines may soon replace healthcare workers in some aspects of their traditional roles. Artificial intelligence (AI) is increasingly mastering rule-based tasks, and acting as a powerful decision-making tool and monitoring system to support clinicians. …

Take a glimpse into the world of piezotronics and piezo-phototronics in this new video abstract of an article published in MRS Bulletin. Take a glimpse into the world of piezotronics and piezo-phototronics in this new video abstract of an article published in MRS Bulletin

Exciting new research published in MRS Bulletin reveals how quantum materials are being used within the field of neuroscience to demystify the inner workings of the human brain.

The materials community is just beginning to utilize Artificial Intelligence (AI) and Machine Learning (ML) in the research process, and it is already clear that this represents a potentially game changing method to accelerate materials development.

The Knowledge Engineering Review has just published an exciting special issue on visualization, visual representation, and reasoning with visual knowledge. With Artificial Intelligence (AI) understood as “the methodology for thinking about ways of knowing” (in the 1988 words of Seymour Papert), computer scientists and knowledge engineers are increasingly interested in alternatives to text as forms of knowledge and as means for its representation.…