Innovation
The premise of AI large language models (LLMs) is that any problem can be solved by vacuuming up as much information as possible, running it through probability models, and performing complex calculations to make predictions and come up with the optimal solution.
Another premise…
The deployment of automated software systems called AI agents has recently exploded. A November 2025 report by MIT Sloan School of Management and Boston Consulting Group found that 35% of surveyed businesses had already deployed AI agents, while another 44% planned to implement agentic AI soon…
Whether you’re a researcher stumped by a mystery compound or a manufacturer perplexed by an unknown substance, there’s a major resource you can rely on: a library of chemical fingerprints, known as mass spectra, that the National Institute of Standards and Technology (NIST) has maintained for…
Manufacturers are exploring artificial intelligence, but most are still struggling to scale it across operations. According to the latest Sikich Manufacturing Industry Pulse survey, 92% of manufacturers are actively exploring AI. Yet roughly three-quarters of respondents remain in research or…
Every boardroom has heard it. Every procurement checklist includes it. Every investor deck now features it somewhere between the mission statement and the revenue model. “AI ethics” has become the term that signals seriousness without necessarily delivering it. That gap deserves examination—…
Two years ago, the dominant conversation around AI in enterprise software was about pilots. Every company of a certain size had at least one: a proof of concept running in a sandbox, a chatbot layered over a knowledge base, or a model fine-tuned on proprietary data that never quite made it to…