Small Language Models Could Redefine The AI Race
As the AI race heats up, with companies launching more advanced models in the quest for dominance, a new trend is emerging ...
hcinnovationgroup2h
Why MultiCare Chose to Invest in an Open Source Data Analytics Platform
Anna Taylor, the MultiCare ACO’s associate vice president of population health and value-based care, and Tuva Health CEO ...
Frontiers10h
Neuromorphic and Deep Learning Paradigms for Neural Data Interpretation and Computational Neuroscience
The integration of neuromorphic computing and deep learning is revolutionizing computational neuroscience, offering new methods for interpreting complex ...
New Scientist11h
AI can decode digital data stored in DNA in minutes instead of days
A new AI-based method can accurately recover digital data from DNA strands nearly 90 times faster than older techniques, ...
How test-time scaling unlocks hidden reasoning abilities in small language models (and allows them to outperform LLMs)
A 1B small language model can beat a 405B large language model in reasoning tasks if provided with the right test-time scaling strategy.
Slator14h
Cascaded Speech Translation Systems Outperform End-to-End Models, Research Finds
SpeechT mentorship connects researchers and practitioners to explore speech translation, finding cascaded architectures ...
eWeek22h
Perplexity 1776 Model Fixes DeepSeek-R1’s “Refusal to Respond to Sensitive Topics”
The modifications change the model’s responses to Chinese history and geopolitics prompts. DeepSeek-R1 is open source.