Scientists at Tufts have created a powerful 3D model of nasal tissue that reveals surprising new insights into how our sense of smell regenerates and why it sometimes fades. Contrary to past ...

Bringing a single drug to market can take more than a decade and cost billions of dollars, with fewer than one in ten candidates successfully reaching approval. Against this backdrop, generative AI is ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

Fine-tuning TCAD parameters with real-world feedback from test wafers is essential for quantitatively accurate and predictive results.

The 2026 season of the Pharma.AI webinar series will showcase the ongoing AI revolution in life sciences, including the ...

Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models like DeepSeek and GLM. The training-free technique cuts 75% of indexer ...

Meta's Muse Spark brings multimodal reasoning, health AI, and multi-agent orchestration to users via meta.ai and a private ...

The old measurements of leverage, utilization, margin, billing rate, and realization fall short of the new reality.

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Artificial intelligence is fundamentally changing how software is built. It is moving beyond just speeding up tasks. AI is ...

By Lorna Patrick, Chief Operating Officer, Upperton In the world of outsourced drug development and manufacturing, risk ...