Tired of fragmented mobile AI? Meet M4, the pioneering OS-hardware co-managed foundation model acting like firmware for your smartphone! This LLM-powered solution tackles 38+ diverse tasks across vision, language, audio, and multimodal inputs with accuracy parity in 85% of cases. M4 dramatically simplifies NPU design and boosts on-device intelligence and data privacy, overcoming the "ad-hoc" mess with lightweight "adapters" and significantly fewer operators. Get ready for mobile AI that finally makes sense!

This review explores the transformative impact of data-driven Artificial Intelligence (AI) and Machine Learning (ML), including Deep Learning, on synthetic biology and industrial biomanufacturing. It details applications in the design and engineering of novel enzymes and proteins, reconstruction and improvement of metabolic models

Get ready for a paradigm shift in biopharma! Artificial Intelligence (AI) is rapidly revolutionizing drug discovery, development, manufacturing, and delivery, promising to drastically reduce the time and cost traditionally associated with bringing new medicines to market. Forget the old narrative of Eroom's Law; AI is ushering in an era where innovative treatments can reach patients faster and more efficiently

Discover how Artificial Intelligence (AI) is revolutionizing lung cancer care, from early detection and accurate diagnosis to personalized treatment decisions and prognosis prediction. AI systems enhance the reading of low-dose CT (LDCT) and chest X-rays (CXR), significantly improving nodule detection accuracy and reducing radiologist workload. Explore AI's role in analyzing whole slide imaging (WSI) for histopathological insights and predicting molecular features like gene mutations and PD-L1 expression. This comprehensive approach, integrating radiomics, genomics, and clinical data, holds promise for optimizing lung cancer screening, diagnosis, and patient outcomes in the future.

Explore effective methods to amplify your focus despite modern distractions, including optimizing your environment, setting digital boundaries, calendar planning, and clarifying objectives.

Examine the rapid progress of LLMs, the rise of open-source models, and implications for research evaluation. Understand the evolving role of economists in the age of ever-advancing AI