Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Students and professionals looking to upskill are in luck this month of April, as Harvard University is offering 144 free ...

In this article, we examine the integration of large language models (LLMs) in design for additive manufacturing (DfAM) and ...

Microsoft has released version 1.0 of its open-source Agent Framework, positioning it as the production-ready evolution of the project introduced in October 2025 by combining Semantic Kernel ...

Focused on practical applications of technology in business, the course covers computational thinking, programming languages, ...

Amid rising demand for digital and technology-driven skills, Harvard University has made several of its courses accessible ...

Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.