International Business Machines (IBM) is building a rather interesting corner of the enterprise artificial intelligence (AI) market. The company has combined its hybrid-cloud expertise with foundation models and deep government and scientific partnerships, while its Prithvi family of open models now spans weather, geospatial, and lunar data.
That gives IBM a credible position in domain-specific AI, particularly where the stakes are too high for generic models to wing it. The latest example is the NASA IBM Lunar Foundation Model, open-sourced on Thursday, Sept. 10, which brings decades of multi-instrument lunar observations into a unified, machine-learning-ready dataset and model.
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#lunar
That gives IBM a credible position in domain-specific AI, particularly where the stakes are too high for generic models to wing it. The latest example is the NASA IBM Lunar Foundation Model, open-sourced on Thursday, Sept. 10, which brings decades of multi-instrument lunar observations into a unified, machine-learning-ready dataset and model.
Dear ******* eX Stock Fans, Mark Your Calendars for September 21
Google Just Dropped a Bombshell on AI Spending — Alphabet's $200 Billion AI Bet Is Starting to Pay Off Big
Dear Nike Stock Fans, Mark Your Calendars for September 21
#lunar
7 hours ago
