#neural-networks
#neural-networks
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fromenglish.elpais.com
3 weeks agoHow does artificial intelligence think? The big surprise is that it intuits'
Each of these achievements would have been a remarkable breakthrough on its own. Solving them all with a single technique is like discovering a master key that unlocks every door at once. Why now? Three pieces converged: algorithms, computing power, and massive amounts of data. We can even put faces to them, because behind each element is a person who took a gamble.
Artificial intelligence
Artificial intelligence
fromPsychology Today
3 weeks agoMental Murmuration: A Metaphor for the Workings of the Brain
Neural processing consists of fluid, distributed patterns of activation across interconnected networks that function collectively like a murmuration, not as a container of discrete informational bits.
Artificial intelligence
fromNature
2 months agoWhat is the future of intelligence? The answer could lie in the story of its evolution
Scaled next-token predictors evolved into large language models that can understand concepts, generate humor, write and debug code, and produce fluent, intelligent responses.
Artificial intelligence
fromLondon Business News | Londonlovesbusiness.com
4 months agoThe future of SEO technologies: According to Aleksandr Kalinin, neural networks dramatically speed up analysis and development, enhancing the efficiency of internet marketing - London Business News | Londonlovesbusiness.com
Neural networks accelerate SEO by automating data analysis, revealing hidden patterns, reducing labor costs, and improving forecasting to enhance internet marketing effectiveness.
Artificial intelligence
fromArs Technica
4 months agoCan AI detect hedgehogs from space? Maybe if you find brambles first.
A remote-sensing neural representation detects large, uncovered bramble patches from overhead imagery with promising informal field validation but requires systematic verification.
fromMedium
6 months agoHow Neural Networks Are Improving Drug Discovery
Neural networks are some of the most promising artificial intelligence (AI) models. These systems process data similarly to the human brain, passing information through a complex network of nodes in the same way information goes through layers of neurons. That makes them capable of solving complicated problems in minimal time, which is particularly advantageous in the medical industry. Drug discovery is a vital but challenging process.
Artificial intelligence
Artificial intelligence
fromodsc.medium.com
6 months agoThe ODSC AI West 2025 Preliminary Schedule, Mastering AI Evaluation, Building Real World Agentic Applications, and GPT-5 News.
ODSC AI West 2025 offers training on MLOps, RAG, and AI Agents, featuring over 250 industry experts to enhance practical skills.
fromHackernoon
1 year agoDefining the Frontier: Multi-Token Prediction's Place in LLM Evolution | HackerNoon
Dong et al. (2019) and Tay et al. (2022) train on a mixture of denoising tasks with different attention masks (full, causal and prefix attention) to bridge the performance gap with next token pretraining on generative tasks.
Artificial intelligence
Artificial intelligence
fromZDNET
8 months agoAI performance is all about the perfect blend of chips and networks, research suggests
AI training speed increasingly relies on chip connections rather than just chip performance.
The latest MLPerf Training results highlight growing dependency on networking configurations in AI systems.
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