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Machine Learning
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Google DeepMind: AI Not Accelerating Its Own Progress Despite Writing 75% of Code
Google DeepMind's first internal audit of AI-driven research, detailed in the safety report for its Gemini 4 Argon model, found no measurable speedup in AI progress. This conclusion comes despite AI w
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GNY Token: Current Status and Risk Assessment of a Decentralized Platform Combining Machine Learning and Blockchain
GNY is a decentralized platform that aims to provide predictive tools for the crypto market using machine learning and blockchain technology. Its core products include price prediction reports, an AI chatbot, and a decentralized data marketplace. Despite the project having a DPoS mainnet and implementing a token burn program, as of October 4, 2026, the GNY token's market performance is extremely poor, with a 24-hour trading volume of only approximately $3 and a market capitalization of less than $50,000. Historical price predictions have become severely detached from the current reality, and current liquidity is extremely low, making it considered a high-risk investment.
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NVIDIA Opens Applications for 2027-2028 Graduate Fellowships, with Awards Up to $60,000
NVIDIA has opened applications for its 2027-2028 Graduate Fellowship Program, which offers up to $60,000 in funding, mentorship, and technical support to Ph.D. students conducting outstanding research
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McDonald's uses AI 'pricing engine' to gauge customer willingness to pay, widening price gaps between restaurants: Report
McDonald's is reportedly using machine-learning models from Tiger Analytics to set "optimal prices" for menu items at each of its nearly 14,000 restaurants, based partly on customer willingness to pay
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HSBC designs machine-learning model with 65% accuracy to predict 10-year Treasury direction
HSBC's model aims to predict the probability of U.S. 10-year yields rising or falling over the next 21 trading days. It achieved 65% accuracy on unseen data during training and 76% on in-sample data.
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Japanese government and machinery makers to collaborate on collecting industrial machinery data for physical AI applications
The initiative, learned by Nikkei, will involve assigning unique IDs to individual factory equipment across different manufacturers to facilitate data gathering for machine learning, specifically gear
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DxChain Token (DX) Project Analysis and Market Status
DxChain (DX) aims to build a decentralized big data and machine learning network, with its DX token serving as the platform's medium of exchange and governance tool. The project launched its Beta testing in 2018. However, according to the latest market data, the DX token's 24-hour trading volume is extremely low, indicating that its market activity has nearly dried up and lacks effective transactions. Investors must fully understand its high-risk nature before considering any related operations.
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Google DeepMind: AI Not Accelerating Its Own Progress Despite Writing 75% of Code
Google DeepMind's first internal audit of AI-driven research, detailed in the safety report for its Gemini 4 Argon model, found no measurable speedup in AI progress. This conclusion comes despite AI w
-
NVIDIA Opens Applications for 2027-2028 Graduate Fellowships, with Awards Up to $60,000
NVIDIA has opened applications for its 2027-2028 Graduate Fellowship Program, which offers up to $60,000 in funding, mentorship, and technical support to Ph.D. students conducting outstanding research
-
McDonald's uses AI 'pricing engine' to gauge customer willingness to pay, widening price gaps between restaurants: Report
McDonald's is reportedly using machine-learning models from Tiger Analytics to set "optimal prices" for menu items at each of its nearly 14,000 restaurants, based partly on customer willingness to pay
-
HSBC designs machine-learning model with 65% accuracy to predict 10-year Treasury direction
HSBC's model aims to predict the probability of U.S. 10-year yields rising or falling over the next 21 trading days. It achieved 65% accuracy on unseen data during training and 76% on in-sample data.
-
Japanese government and machinery makers to collaborate on collecting industrial machinery data for physical AI applications
The initiative, learned by Nikkei, will involve assigning unique IDs to individual factory equipment across different manufacturers to facilitate data gathering for machine learning, specifically gear
-
GNY Token: Current Status and Risk Assessment of a Decentralized Platform Combining Machine Learning and Blockchain
GNY is a decentralized platform that aims to provide predictive tools for the crypto market using machine learning and blockchain technology. Its core products include price prediction reports, an AI chatbot, and a decentralized data marketplace. Despite the project having a DPoS mainnet and implementing a token burn program, as of October 4, 2026, the GNY token's market performance is extremely poor, with a 24-hour trading volume of only approximately $3 and a market capitalization of less than $50,000. Historical price predictions have become severely detached from the current reality, and current liquidity is extremely low, making it considered a high-risk investment.
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DxChain Token (DX) Project Analysis and Market Status
DxChain (DX) aims to build a decentralized big data and machine learning network, with its DX token serving as the platform's medium of exchange and governance tool. The project launched its Beta testing in 2018. However, according to the latest market data, the DX token's 24-hour trading volume is extremely low, indicating that its market activity has nearly dried up and lacks effective transactions. Investors must fully understand its high-risk nature before considering any related operations.
Machine Learning
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