AI, security, digital tools, software and products, startups, semiconductors, industrial technology, and the policy around them.
The World Health Organization and the International Telecommunication Union mapped the use of AI in traditional medicine in a 2025 technical brief. Their findings, combined with international medical-software standards, show why a product demonstration cannot establish clinical credibility.
Google and Amazon offer purpose-built AI accelerators for model training and inference alongside general-purpose GPUs. Custom chips can improve efficiency on stable, heavily used workloads, but development cost, software and design risk limit where they pay off.
A coalition of US state attorneys general reportedly opened an investigation into OpenAI on June 12, 2026, seeking records on advertising, data practices and vulnerable users. The subpoena arrived four days after OpenAI disclosed a confidential draft S-1, but neither the filing nor the subpoena is public.
US regulators updated two software policies in January 2026, clarifying when low-risk wellness products and some clinical decision-support functions fall outside full device oversight. Taiwan requires qualifying AI medical software to enter its device-registration system, while the European Union layers high-risk AI obligations onto existing product rules.
GPT-5 Pro generated a mechanism for unexplained T-cell data and predicted the direction of an unpublished CAR-T experiment, according to a November 2025 case study. The result shows how a model can help experts form testable hypotheses, but it does not establish autonomous discovery or prove the proposed mechanism.
OpenAI and Molecule.one reported on June 17 that a GPT-5.4 workflow helped identify conditions that improved a difficult Chan-Lam coupling across 10,080 microscale reactions. An automated laboratory supplied the testing capacity, while chemists selected proposals, corrected plans and repeated key experiments by hand.
OpenAI reported in June 2026 that GPT-Rosalind passed 36.1 percent of the 750 tasks in its new LifeSciBench evaluation. Performance fell on tasks involving figures, files or web sources, while the benchmark's design and publication by OpenAI complicate interpretation of its model rankings.
AMD announced its acquisition of memory-software startup MEXT on June 15, 2026, without disclosing financial terms. MEXT predicts which memory pages will be needed and moves them from flash to DRAM, expanding usable capacity without replacing high-bandwidth memory.
