Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Accurate sunlight data is becoming essential for the clean-energy transition, but tracking how much solar radiation reaches ...

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...

Neither Sakana AI nor its external AI service providers will use customer data or inputs for model training or fine-tuning unless the client provides explicit opt-in consent.

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

Increasingly, farms are becoming monitoring environments in their own right, generating data from yield monitors, GPS-guided ...

How are leading firms redefining their competitive advantage in electronic fixed income trading? Explore the next frontier ...

PNF drives the authoring of ERC-8294, a draft extension to ERC-8004 allowing permissionless, operator-diverse validator ...

With $500 million in funding and a reported $2.5 billion valuation, Flourish wants to reinvent AI by putting real neurons ...

Five students partnered with Dr. Ahmad Ghafarian, a UNG professor of computer science and cybersecurity, on the application ...

There are several blind spots that companies face on the way to quantum readiness, but boards can work to resolve these.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...