Understanding the 'Heartbeat' of Large Models: Unveiling the Loss Function in AI Training and Future Trends

Imagine you are training an AI to play chess. Whenever it makes a wrong move, you point out the mistake and explain the reason. In the world of deep learning, the Loss Function plays a similar role.
manilatimes

MicroCloud Hologram Inc. Develops a Noise-Resistant Deep Quantum Neural Network (DQNN) Architecture to Optimize Training Efficiency for Quantum Learning Tasks

SHENZHEN, China, June 10, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO” or the "Company"), a technology service provider, announced the development of a noise-resistant ...
VentureBeat

New open-source math model Light-R1-32B surpasses equivalent DeepSeek performance with only $1000 in training costs

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers have introduced Light-R1-32B, a ...

AI Recommendation Optimization Deep Assessment: Shanghai Qingshan Buyu Takes the Lead, Winning in Accuracy and Satisfaction

In the current era characterized by a massive explosion of digital information, AI recommendation systems play a crucial role. These systems consider various complex factors, such as individual users' ...
TechRepublic

Gemini 2.5 Deep Think Is Google’s Most Advanced AI Model to Date

Gemini 2.5 Deep Think Is Google’s Most Advanced AI Model to Date Your email has been sent Deep Think, a multi-agent AI model from the Google DeepMind team, is now available via the Gemini app. While ...