News

Neurosymbolic AI is the answer to large language models’ inability to stop hallucinating
Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...
The one-size-fits-all diversity training model is broken – here’s a better alternative |The Conversation
The Trump administration is leading a backlash against diversity initiatives, and a backlash to that backlash is emerging ...
AI model uses transfer learning to forecast storm flooding in data-scarce areas
The 2025 hurricane season officially begins on June 1, and it's forecast to be more active than ever, with potentially ...
Stop flying blind: Build a data-driven revenue model with bottom-up forecasting
By understanding your growth levers and required resources, you can avoid the trap of overpromising and underdelivering.
How Better Data Annotation Improves AI Model Performance
Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...
3 Breakthrough Ways Data Is Powering The AI Reasoning Revolution
By building stronger reasoning skills in AI systems, new approaches to data for training and testing will open a door to the ...
Nvidia Will Remain at the Center of AI for Years to Come
Nvidia earned an exceptional 62% GAAP operating margin in fiscal 2025, as it prospered from significant operating leverage during the AI boom. We anticipate that GAAP operating margins will be 59% in ...
Vera Academy Sets New Standard in Aesthetic Training With Ministry-Certified Program
Vera Clinic has officially expanded Vera Academy, a certified training initiative for healthcare professionals focused on ...
U.S. and EU Regulators on Diverging Paths Over AI Training Data
Many AI models have been raising concerns about bias and privacy. The EU enforces strict regulations for transparency, while ...
Tech Xplore4d
Tool automatically separates training and test data to improve AI evaluation
A new tool has been developed to better assess the performance of AI models. It was developed by bioinformaticians at ...
AI needs better human data, not bigger models
AI’s growth is limited by poor-quality data, not model size. Human expertise in data curation, decentralized feedback and ...
IEEE5d
Accelerating Distributed Model Training through Intelligent Node Selection and Data Allocation Strategies in 6G network
An extensive quantum of data and computational capabilities are necessitated ... while training nodes execute training tasks and transmit model gradients to the aggregation nodes asynchronously. To ...