ace
Media & ArtsEvidence-backed gain
Hollywood studios want film graduates who already use AI, Semafor reports
Studios want film school graduates who already use AI tools. Runway, Google and OpenAI are training them through courses and residencies.
TNWAll stories
1289 published stories · page 10 of 86
Evidence-backed problem
US woman falsely charged with bank theft sues for $10m over AI facial recognition
Evidence-backed problem
On the average-case complexity of learning output distributions of quantum circuits
In this work, we show that learning the output distributions of brickwork random quantum circuits is average-case hard in the statistical query model. This learning model is widely used as an abstract computational model for most generic learning algorithms. In particular, for brickwork random quantum circuits on n qubits of depth d , we show three main results:– At super logarithmic circuit depth d=ω(log(n)) , any learning algorithm requires super polynomially many queries to achieve a constant probability of…
Evidence-backed gain
Artificial muses: Generative artificial intelligence chatbots have risen to human-level creativity
A widespread view is that Artificial Intelligence cannot be creative. We tested this assumption by comparing human-generated ideas with those generated by six Generative Artificial Intelligence (GAI) chatbots: alpa.ai, Copy.ai, ChatGPT (versions 3 and 4), Studio.ai, and YouChat. Humans and a specifically trained AI independently assessed the quality and quantity of ideas. We found no qualitative difference between AI and human-generated creativity, although there are differences in how ideas are generated. Inter…
Evidence-backed problem
The Transformation of Epistemic Agency and Governance in Higher Education Through Large Language Models: Toward a future of organized immaturity
Why and how does the use of large language models (LLMs) transform epistemic agency and epistemic governance in higher education (HE), and why can this transformation usher organized immaturity as a new organizing principle for HE? Asking these questions now matters because (i) the profound impact of LLMs on epistemic agency and governance in HE has not been adequately scrutinized by theorists of organizations and HE to date and (ii) LLMs represent an epistemic technology that fundamentally alters who produces k…
Evidence-backed problem
Identification of key molecular targets in nicotine-induced spontaneous abortion through network toxicology and multi-omics integration
Introduction Spontaneous abortion (SA) remains a prevalent reproductive health challenge, with tobacco-derived nicotine emerging as a significant risk factor. This study sought to decipher the molecular underpinnings of nicotine-induced pregnancy loss through comprehensive multi-omics profiling to identify novel biomarkers and potential intervention targets. Methods An integrated bioinformatics approach was implemented combining network toxicology, transcriptomic profiling, and machine learning algorithms to elu…
Health
Rapid serum-based differentiation of ovarian tumors and assessment of post-treatment disease-free status using portable Raman spectroscopy and machine learning
Rapid, low-cost tools for ovarian tumor discrimination and post-treatment assessment remain limited because conventional serum biomarkers such as CA125 have suboptimal sensitivity and specificity. Serum contains proteins, lipids, carbohydrates, and nucleic acids that generate disease-related spectrochemical fingerprints, which portable Raman spectroscopy can capture with minimal sample preparation. We investigated serum Raman profiling for ovarian tumor discrimination and cross-sectional characterization of post…
Lifestyle
Research on the optimal modeling path for inversion of Pb content in rice leaves based on hyperspectral data of ground objects and machine learning and cross-scale remote sensing monitoring
Real-time and accurate monitoring of heavy metal concentrations in rice is essential for ensuring food safety and supporting the safe utilization of contaminated agricultural land. Hyperspectral technology offers advantages such as rapid, nondestructive, cost-effective, and environmentally friendly monitoring. This study developed multiple models for estimating Pb content in rice leaves, compared their performance, and identified stable modeling pathways for continuous regional monitoring using hyperspectral rem…
Health
Imaging subtypes reveal distinct biological substrates and disability profiles in multiple sclerosis
Multiple sclerosis is characterized by marked biological heterogeneity that is only partly captured by conventional clinical phenotypes and age-at-onset categories. MRI can detect focal lesions, diffuse microstructural damage and atrophy, but these measures are usually considered separately. We therefore aimed to use Subtype and Stage Inference (SuStaIn), an unsupervised machine learning framework, to identify biologically meaningful MRI subtypes of multiple sclerosis and determine their associations with disabi…
Health
Artificial intelligence and perioperative nurses in error detection during operating room transfers: A simulation-based comparison
BackgroundThe safe and efficient transfer of patients to the operating room is a critical component of surgical care. The growing integration of artificial intelligence (AI) in healthcare introduces new possibilities for enhancing clinical decision-making.ObjectiveThis study compared the performance of AI and perioperative nurses with varying experience levels in identifying errors during the preoperative patient transfer process.MethodsA controlled simulation study was conducted involving three nurses (novice,…
Media & Arts
Not the story of AI, but of individual AIs
The rise of biographies dedicated to AI, especially large language models, is gaining momentum. These stories would document the journey of AIs, from their inception and learning processes to real-world applications. This demand for engaging storytelling could lead to novel genres, such as AI biopics, fostering a deeper connection between humans and AI through relatable narratives and potentially creating a unique market for literature and film.
Media & Arts
Novelist accused of using AI to write book removed from French prize list
The organisers of France’s most prestigious literary prize said they had removed a critically acclaimed novel by a Canadian-Haitian writer from the longlist after an anonymous online account claimed the book was “almost entirely” written by AI. The Académie Goncourt, a Paris-based literary organisation, said on Friday its decision to withdraw Thélyson Orélien’s novel C’était ça ou mourir (It Was That or Die) was “driven by the desire to preserve the integrity of the Goncourt prize and the academy itself, whose c…
Policy
Pope Leo warns of AI threat to humanity at start of three-day France visit
Pope Leo has warned against losing humanity in a “paradise of machines” as he addressed global concerns over the dangers of artificial intelligence at the start of a three-day visit to France. “If we are to avoid losing our humanity amid a paradise of machines invading and conditioning our daily lives, there is an urgent need for people to be educated in ethical discernment, capable of seeing what is morally right,” he said in a speech at the Élysée. At a second address on Friday, the 71-year-old head of the Cat…
