Researchers are revolutionizing graphene by deliberately introducing defects to enhance its functionality, potentially transforming sectors like electronics and renewable energy.
A recent study highlights that public perceptions about food, rather than its processing level, may be a significant driver of overeating. According to researchers from Leeds, beliefs about food being fatty or sweet prompt indulgence more than the food's actual processing or ingredients.
A research initiative at Penn State has unveiled a pioneering method of leveraging streetlights as electric vehicle charging stations. The study, involving the installation of 23 charging units in Kansas City, revealed that these streetlight-based chargers are not only faster and more cost-effective than conventional charging stations but also more environmentally sustainable. Moreover, the AI-driven approach prioritizes scalability and equity, allowing for broader implementation in urban settings.
India's Securities and Exchange Board (SEBI) has banned Synoptics Technologies in a major move highlighting regulatory vigilance over financial misconduct. The ban follows allegations of improper utilization of funds raised during the company's Initial Public Offering (IPO). The situation casts a shadow over the tech startup's future and underscores the consequences of financial mismanagement under SEBI's watchful eye.
A 13-year-old student in Florida was arrested after issuing a threat through ChatGPT, highlighting the need for security in educational technology and the ethical considerations of AI use.
MIT researchers have achieved a breakthrough in gene editing by significantly lowering the error rate of prime editing, enhancing its potential for precise treatment of genetic disorders.
In an age where AI systems are integral to crucial sectors like supply chain management, healthcare, and financial markets, maintaining observability over AI processes has become imperative. As AI continues to evolve, 2025 brings a fresh wave of observability tools designed to ensure these systems operate smoothly, detect anomalies, and prevent costly disruptions.
Human-in-the-loop (HITL) machine learning integrates human expertise into the data processing and model training stages, offering improved accuracy and adaptability by actively involving human judgment in crucial steps.
For over a century and a half, U.S. cities have adhered to an unwritten rule that dictates their economic coherence despite technological upheavals. A new study reveals how these urban areas maintain a balance between growth and continuity, staying true to their economic roots while evolving.
A recent study in Tokyo sheds light on the adverse effects of long commutes and small living spaces on sleep quality, underscoring an urban conundrum. Effective housing and commute solutions are suggested as remedies to combat increasing sleep-related health issues.
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