Thu, January 30, 2025
[ Thu, Jan 30th 2025 ]: TechCrunch
How DeepSeek changed Silicon Valley's AI landscape
[ Thu, Jan 30th 2025 ]: Forbes
Wafaa Mamilli To Join Roche As Chief Digital Technology Officer
[ Thu, Jan 30th 2025 ]: legit
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[ Thu, Jan 30th 2025 ]: Reuters
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[ Thu, Jan 30th 2025 ]: Nature
How China created AI model DeepSeek and shocked the world
[ Thu, Jan 30th 2025 ]: NextBigFuture
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[ Thu, Jan 30th 2025 ]: MSN
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[ Thu, Jan 30th 2025 ]: MSN
American AI firms try to poke holes in disruptive DeepSeek
Wed, January 29, 2025
[ Wed, Jan 29th 2025 ]: Hoodline
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[ Wed, Jan 29th 2025 ]: Techzim
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[ Wed, Jan 29th 2025 ]: Reuters
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[ Wed, Jan 29th 2025 ]: FedScoop
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[ Wed, Jan 29th 2025 ]: Politico
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[ Wed, Jan 29th 2025 ]: NextBigFuture
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[ Wed, Jan 29th 2025 ]: Forbes
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[ Wed, Jan 29th 2025 ]: Reuters
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[ Wed, Jan 29th 2025 ]: fox13now
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[ Wed, Jan 29th 2025 ]: ZDNet
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[ Wed, Jan 29th 2025 ]: PBS
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[ Wed, Jan 29th 2025 ]: Indiatimes
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[ Wed, Jan 29th 2025 ]: Bernews
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[ Wed, Jan 29th 2025 ]: Forbes
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[ Wed, Jan 29th 2025 ]: WeLiveSecurity
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[ Wed, Jan 29th 2025 ]: blockonomi
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[ Wed, Jan 29th 2025 ]: businessday
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[ Wed, Jan 29th 2025 ]: NextBigFuture
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[ Wed, Jan 29th 2025 ]: decrypt
Former SEC Chair Gary Gensler to Go Back to School to Teach AI
[ Wed, Jan 29th 2025 ]: Yahoo
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[ Wed, Jan 29th 2025 ]: Gigwise
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[ Wed, Jan 29th 2025 ]: LBC
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[ Wed, Jan 29th 2025 ]: MSN
DeepSeek is the newest front in the AI competition between the US and China
[ Wed, Jan 29th 2025 ]: MSN
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[ Wed, Jan 29th 2025 ]: ABC
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Tue, January 28, 2025
[ Tue, Jan 28th 2025 ]: Yahoo
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[ Tue, Jan 28th 2025 ]: komonews
DeepSeek sends Washington, Wall Street and Silicon Valley into frenzy
[ Tue, Jan 28th 2025 ]: CNET
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[ Tue, Jan 28th 2025 ]: PopSugar
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[ Tue, Jan 28th 2025 ]: NextBigFuture
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[ Tue, Jan 28th 2025 ]: Mint
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[ Tue, Jan 28th 2025 ]: WESH
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[ Tue, Jan 28th 2025 ]: Yahoo
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[ Tue, Jan 28th 2025 ]: NDTV
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[ Tue, Jan 28th 2025 ]: WREG
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[ Tue, Jan 28th 2025 ]: SHINE
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[ Tue, Jan 28th 2025 ]: Salon
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[ Tue, Jan 28th 2025 ]: MSN
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[ Tue, Jan 28th 2025 ]: news10nbc
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[ Tue, Jan 28th 2025 ]: MSN
India raising the bar on drug formulation challenges

Case study demonstrates practical applications for quantum machine learning

Quantum researchers from CSIRO, Australia's national science agency, have demonstrated the potential for quantum computing to significantly improve how we solve complex problems involving large datasets,
The article from MSN discusses a case study on the practical applications of quantum machine learning, highlighting its potential to revolutionize various industries. It explains how quantum computing, which uses principles of quantum mechanics, can process information at speeds unattainable by classical computers, particularly in handling complex datasets. The study focuses on how quantum machine learning could enhance areas like drug discovery, financial modeling, and logistics optimization by solving problems that are currently computationally intensive or infeasible with traditional computing methods. It provides examples such as using quantum algorithms for better portfolio optimization in finance, improving the efficiency of molecular simulations in pharmaceuticals, and enhancing route optimization in logistics. The article also touches on the current limitations, including the need for error correction in quantum systems and the challenge of maintaining quantum coherence, but emphasizes the promising future where quantum machine learning could lead to significant technological advancements.

Read the Full MSN Article at:
[ https://www.msn.com/en-us/technology/artificial-intelligence/case-study-demonstrates-practical-applications-for-quantum-machine-learning/ar-AA1y1zyA ]