AI-Human Collaboration
Artificial intelligence (AI) can analyze enormous diverse databases at lightning speeds. But unlike humans, AI can’t reason, produce new databases, or make sense of things it hasn’t seen before. Only humans can determine what’s interesting and worth pursuing and what isn’t. Recognizing these distinctives, a team at Lam Research Corporation conducted experiments to determine how best to manage collaboration between AI and humans to optimize the development of computer chips with target characteristics. The Lam team found that AI works best when human experts operate as “data dieticians,” controlling the amounts, kinds, and timing of data being fed into AI systems.
References:
Keren J. Kanarik et al., “Human-Machine Collaboration for Improving Semiconductor Process Development,” doi:10.1038/s41586-023-05773-7
New Hubble Constant Measurement
The strongest evidence supporting big bang models comes from measurements of the universe’s expansion. Although scientists have compelling evidence for expansion from Cepheid variables and Type 1a supernovae, as well as the cosmic microwave background radiation, astronomers continue to search for data that will confirm or falsify current understanding. Recently, scientists applied a new technique to measure the Hubble constant (which is a simple way to quantify the universe’s expansion) and found results consistent with the best measurements from other techniques. These results add to the already substantial evidence that we live in a big bang universe.
Allison Gasparini, “Gravitationally Lensed Supernova Yields Novel Hubble Constant Result,” https://pubs.aip.org/physicstoday/online/42381/
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