R. Yang et al., Repeating sequence cluster analysis & TM-align search pipelines. GitHub. https://github.com/degrado-lab/repeating-sequences.git. Accessed 10 June 2026.

From the second number onward, each number in the sequence is the product of the digits of its predecessor. The next two numbers are therefore 3 × 3 × 6 = 54 and 5 × 4 = 20. All subsequent numbers in ...

MathCode is a terminal AI coding assistant with a built-in math formalization engine. Give it a math problem in plain language and it will automatically convert it into a Lean 4 theorem and attempt a ...

OpenAI Group PBC today launched a new large language model that is significantly better than its predecessors at solving math problems and writing code. GPT-5.5 is rolling out a week after rival ...

The prevailing assumption in AI development has been straightforward: larger models trained on more data produce better results. Nvidia's latest release directly challenges that size assumption — and ...

Valued at $1.6 billion, a tiny start-up called Axiom is building A.I. systems that can check for mistakes. Valued at $1.6 billion, a tiny start-up called Axiom is building A.I. systems that can check ...

The Random RNA Sequence Generator is a free online tool that helps researchers, bioinformaticians, and students create accurate synthetic genetic data. As molecular biology and computational genomics ...

The Random Sequence Generator is a free online tool designed to help you easily generate synthetic biological sequences, including DNA, RNA, and proteins. These sequences are applicable to a variety ...

Penn’s Math Department will restructure its linear algebra and differential equations sequence as of summer 2026, replacing MATH 2400 and 2410 with two new courses: MATH 2200 and MATH 2300. The ...

OpenAI Says ChatGPT's Writing Worsened Due to Overtraining Math, Coding OpenAI CEO Sam Altman said that with GPT-5.2, the focus was on coding and reasoning, which disbalanced writing.

Technology Innovation Institute (TII), Abu Dhabi, has released Falcon-H1R-7B, a 7B parameter reasoning specialized model that matches or exceeds many 14B to 47B reasoning models in math, code and ...

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...