- IBM: Organizations set to unlock GenAI’s full potential in business operationson 2024-12-23 at 04:54
Organizations are moving beyond the initial stages of artificial intelligence (AI) adoption, with many in the Asia-Pacific (Apac) region aiming to achieve their desired return on investment (ROI) by 2025, according to the latest study from tech giant IBM. It revealed that nearly 60% of surveyed organizations across the Apac region anticipate realizing the benefits of their AI investments within two to five years, while only 11% expect returns within the next two years.
- Language models are the new norm for management consultantson 2024-12-23 at 04:54
Language models are essential for consultants who work with large amounts of unstructured data, such as customer feedback, internal reports, and policy documents. Moreover, using language models provides consultants with a competitive advantage, as they gain insights into unstructured data faster and more accurately.
- Food Ladder – IBMon 2024-12-23 at 01:02
Food Ladder (link resides outside of ibm.com) is a nonprofit organization that empowers disadvantaged communities to grow their own fresh produce, improving food security, health and economic opportunities through sustainable gardening initiatives and education. Based in Australia, Food Ladder was founded by Kelly McJannett and Alex Shead, with the goal of addressing food insecurity and providing education in underprivileged communities.
- International Business Machines (IBM) Integrates Granite LLMs into Lockheed Martin’s AI Factoryon 2024-12-21 at 22:59
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- IBM open sources new AI models for materials discoveryon 2024-12-21 at 08:45
Molecule structures can be summarized in natural language, as SMILES and SELFIES strings of text; as molecular graphs with atom “nodes” and bond “edges”; as numerical values describing the relative strength of their physical properties; and as spectrograms, which are captured through microscopes, and show how a target molecule interacts with light. Foundation models pre-trained on vast molecular databases can be used to screen millions of molecules at a time for desirable properties while weeding out the ones with dangerous side-effects.