Princeton researchers have created an artificial intelligence (AI) tool to predict the behavior of crystalline materials, a key step in advancing technologies such as batteries and semiconductors. Although computer simulations are commonly used in crystal design, the new method relies on a large language model, similar to those that power text generators like ChatGPT.
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Post Davos, we stand at a crossroads where stewardship and innovation can steer us to a future where AI technology amplifies human potential.Read More
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How AI will allow data engineers to automate the most laborious parts of their work and free up time to think about the bigger picture.Read More
Plus: North Korean hackers get into generative AI, a phone surveillance tool that can monitor billions of devices gets exposed, and ambient light sensors pose a new privacy risk.
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Personal finance is less about the products themselves and more about customer financial needs and goals. Financial services marketing allows financial institutions to educate consumers about how personal finance products can enable them to achieve their goals. But, it goes even further than that. In order to capture engagement and conversions, financial services marketers must …
A New Paradigm for Computer Vision Workflows Massive investments are being made across the DoD to develop and field Machine Learning (ML) based capabilities for intelligence and operational data sources. In particular, the application of Computer Vision (CV) models on top of overhead aerial imagery has become a key focus area for teams looking to …
Telecommunications industry, a cornerstone of global connectivity, has been going through a technological renaissance for some time, driven by innovations such as 5G, IoT, cloud computing and AI. As a result, networks have become increasingly hard to manage. There is a need for automation to handle routine tasks, monitor network health and respond to issues in …
Read more “Networks unchained: the shift toward intent-based autonomous operations”