how deep does the rabbit hole go? try searching for "matrix"...
Berlin's Weierstrass Institute Gets €5M for AI Boost
berlin's weierstrass institute has received €5 million to enhance high-performance ai computing through federal funding.
Two paradigms for brain learning: modifying weights versus expanding architecture
research indicates that refining neural connections is more crucial for learning than expanding brain architecture.
Show HN: Symbio self fine-tuning AI loop
symbio is an ai that improves itself by learning from its mistakes and user feedback.
ai in medical imaging: a bibliometric analysis
ai's rapid growth in medical imaging research is analyzed through a bibliometric study, highlighting its structure and development.
The Greek Minds Shaping the Future of Artificial Intelligence
greek scientists, including nobel laureate demis hassabis, are significantly influencing the future of artificial intelligence at top institutions.
The Greenhouse and the Lens: Two Modes of Agentic AI Work
the article discusses two approaches to integrating agentic ai in work: the greenhouse fostering collaboration and the lens enhancing focus.
AI Play Summer Camp Brings Young Tech Innovators to Queens
queens university of charlotte hosted an ai play summer camp, offering local youth hands-on experience with machine learning and interactive ai.
Artificial intelligence for representing and characterizing quantum systems
efficient characterization of large-scale quantum systems is advanced through artificial intelligence techniques, benefiting quantum simulators and megaqubit computers.
Persistent State Machines: LLM Attention with INT4 In-Memory Cells
researchers introduce int4 in-memory cells to enhance llm attention, improving efficiency and performance in state machine processing.
Learning may rely on stronger neural connections, not expanding networks
a study suggests that learning depends more on strengthening existing neural connections than on forming new pathways.
Brain-inspired AI model adapts and plans without massive data centers
a new brain-inspired ai model efficiently solves problems using cognitive maps and guided randomness, reducing energy consumption significantly.
Everyone is building LLM routers, we deprecated ours
a company has decided to discontinue its large language model (llm) router development amid growing competition and market saturation.
Learning Depends on Refining Existing Neural Connections
a study finds that learning relies on refining existing neural connections instead of creating new ones.
AFRL demonstrates neural network control of satellite bus in orbit
the air force research laboratory successfully showcased autonomous satellite bus control using artificial intelligence in orbit.
Predictive Speculative KV Replication for Bursty LLM Inference
the article discusses a new method for improving efficiency in large language model inference through predictive speculative key-value replication.
Navy using LETHALITY Consortium to advance network consolidation initiative
the navy is leveraging the lethality consortium to enhance network consolidation for the naval surface warfare center corona division.
pangram labs raises $9m for ai detection improvement
pangram labs secured $9 million in funding to enhance its ai detection software capabilities.
Show HN: Distilling DeepSeek into GPT-OSS doesn't transfer censorship. Try it
self-distilled gpt-oss-120b excels in finance tasks without transferring censorship traits from the teacher model, deepseek v4.
To build lifelong AI, teach it to forget
teaching ai to forget outdated information is key to developing systems that can learn and adapt throughout their lives.
Quantum Machine-Learning Design Targets Training And Scaling Barriers
a new framework aims to enhance the training of large quantum neural networks by optimizing quantum-circuit designs.