#sequence-generation

#sequence-generation

GPT-Rosalind is designed to support evidence synthesis, hypothesis generation, experimental planning, and multi-step scientific workflows across biochemistry, genomics, and protein engineering.

Google notes that the new feature is still evolving, so it might not always choose the right images. If that happens, you may want to check the sources list to see what went wrong.

Google aims to enhance the image generation capabilities of Nano Banana 2 by utilizing personalized data from users' Google accounts, including their YouTube history and Google Photos. This integration allows for more relevant and tailored image outputs without requiring users to provide extensive context.

Every year, poor communication and siloed data bleed companies of productivity and profit. Research shows U.S. businesses lose up to $1.2 trillion annually to ineffective communication, that's about $12,506 per employee per year. This stems from breakdowns that waste an average of 7.47 hours per employee each week on miscommunications. The damage isn't only interpersonal; it's structural. Disconnected and fragmented data systems mean that employees spend around 12 hours per week just searching for information trapped in those silos.

OpenAI's GPT-5.2 Pro does better at solving sophisticated math problems than older versions of the company's top large language model, according to a new study by Epoch AI, a non-profit research institute.