The 20th century was a famously fertile time for visions of the future, but the 21st century has failed to inspire them in the same way. Science fiction writer William Gibson, author of the prescient cyberpunk novel Neuromancer, has called this "future fatigue", pointing out that we barely ever make reference to the 22nd century. One reason for this apparent stasis is that most of the ideas of the future that captured people's imaginations in the 20th century have mutated since then. For example, plastic was billed as the material of the future. It has become an abundant material resource that is durable and versatile, just as its manufacturers promised.

Automated story writing has been a subject of study for over 60 years. Large language models can generate narratively consistent and linguistically coherent short fiction texts. Despite these advancements, rigorous assessment of such outputs for literary merit - especially concerning aesthetic qualities - has received scant attention. In this paper, we address the challenge of evaluating AI-generated microfictions and argue that this task requires consideration of literary criteria across various aspects of the text, such as thematic coherence, textual clarity, interpretive depth, and aesthetic quality. To facilitate this, we present GrAImes: an evaluation protocol grounded in literary theory, specifically drawing from a literary perspective, to offer an objective framework for assessing AI-generated microfiction. Furthermore, we report the results of our validation of the evaluation protocol, as answered by both literature experts and literary enthusiasts. This protocol will serve as a foundation for evaluating automatically generated microfictions and assessing their literary value.

A new vision for artificial intelligence is using smaller more relevant data sets for dynamic learning generating more effective outcomes and better predictions. This model uses cognitive architecture, learns, transfers learning, and retains knowledge -- enabling more valuable and compelling artificial intelligence applications. Our approach is more closely related to the brain's actual structures and much more effective than "neural networks," which is a catchy name but the similarity to the brain's actual functioning is in name only. Real advancement in artificial intelligence must live in reality, not theoretical marketing. Smaller data sets, more relevant information, dynamic data, and algorithms will lead to more appropriate outcomes, better tools, and more effective applications, especially within Arcadia's algorithmic trading.

Anant Madabhushi was ready for the next step in his career as a researcher and educator. He was already widely recognized as a pioneer in the emerging field of machine learning--specifically for medical imaging and computer-assisted diagnoses. He had authored more than 450 peer-reviewed publications and held over one hundred patents in AI, radiomics, computational pathology, and computer vision. He had even seen his name printed in major consumer publications such as Business Insider and Scientific American that spread the word about how algorithms he's created have greatly improved the accuracy of diagnosing cancer. But Madabhushi, a professor of biomedical engineering at Case Western Reserve University, wanted more. He wanted to break out of the lab and share his specialized knowledge of AI with doctors and clinicians who could put it to use in health care systems and hospitals.

The approach has led to remarkable breakthroughs--but to costs as well. Companies have relentlessly mined people for their faces, voices, and behaviors to enrich bottom lines. And models built by averaging data from entire populations have sidelined minority and marginalized communities even as they are disproportionately subjected to the technology. Over the years, a growing chorus of experts have argued that these impacts are repeating the patterns of colonial history. Global AI development, they say, is impoverishing communities and countries that don't have a say in its development--the same communities and countries already impoverished by former colonial empires.

Students learning classical violin usually have to wait until a session with a music teacher to get personalized feedback on their playing. Soon they may have a new tool to use between lessons: an app that can observe them play and guide them toward better posture and form--key elements both for sounding their best and avoiding overuse injuries. Two University of Maryland researchers are drawing on very different academic backgrounds--one in classical violin and music education, the other in robotics and computer science--to develop this virtual "teacher's aide" system powered by artificial intelligence (AI) technology. In addition to expanding the market for violin instruction, it will allow students who may not have access to private lessons to receive feedback on their playing. Associate Professor of Violin in the School of Music Irina Muresanu, who is collaborating with Cornelia Fermüller, associate research scientist in UMD's Institute for Advanced Computer Studies, said the technology will be revolutionary for a field rooted in tradition.

Since the last decade, the healthcare industry has been adopting technologies and new innovations slowly. The leading healthcare companies have redefined the values of the patient-centric approach to treat and diagnose people in better ways. The way the health market is growing after integrating itself into the technology is immense and can increase to $200 billion by the end of 2024. The technologies in the medical field have introduced a new term named'Digital Health and Well Being'. Now the health industry is addressing all major requirements in the management of health for everyone uprising new health trends.

A Turkish social media expert said artificial intelligence (AI) brings a new vision to the healthcare sector. "Artificial intelligence brings revolutionary developments in the field of health, as in all areas of life," Deniz Unay told media. "Machine learning and assisted artificial intelligence have features that can develop an entire health system within the framework of a new vision," Unay said. Unay said the AI applications support doctors' diagnostic decisions and automate certain tasks underlining AI's rise in healthcare applications. AI can help better and more accurate detection of symptoms, analyzing the side effects of treatments, and processing large amounts of data produced by healthcare facilities, he said.

Imagine waking up one morning to find yourself blind after a lifetime of seeing. This scenario became the reality of thirty-five-year-old Eric Burton, an active and ambitious individual who was in the throes of climbing the corporate ladder. Burton was born with a rare degenerative eye disease called Retinitis Pigmentosa, which caused his vision to fade slowly until one day it disappeared altogether, "like a lightbulb switching off," Burton reflects. He entered a period of darkness, both literally and figuratively, as even the simplest of tasks became daunting to him: leaving the house for a walk, meeting up with friends, ordering food, running errands. Life as he knew it was changed forever.

SAN FRANCISCO/SYDNEY – Entrepreneur Elon Musk, who envisions a human colony on Mars, is planning to create a new, much larger rocket ship code-named "BFR" capable of traveling anywhere on Earth in under an hour. If the concept becomes reality, a journey from New York to Shanghai can be completed in about 30 minutes. The surprise announcement means that Musk's Space Exploration Technologies Corp., which has already disrupted the aerospace industry with reusable launches, plans to ferry humans not just to distant planets but across this one as well. "If we are going to places like Mars, why not Earth?" Musk said Friday at the 68th International Astronautical Congress on Friday in Adelaide, Australia.