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2026 HLA Spring Seminar - Phillip Ackerman-Leist
56+ min ago (183+ words) Phillip Ackerman-Leist Free Range Professor Foodshed Solutions, LLC (Principal) and UpTunket Farm (Co-Owner) Thursday February 5th, at 3:30pm This is a virtual only seminar via Zoom. Community Farms: Designing for Healthy Foods, Inclusivity, and Engagement While it's not often that we have…...
Unsupervised Exposure Correction Achieves Detail Restoration Without Manual 2-Step Labeling
1+ hour, 12+ min ago (864+ words) Researchers have developed a new artificial intelligence system that automatically improves underexposed or overexposed photographs by intelligently analysing image content and generating its own training data, resulting in more natural-looking colours and sharper details. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-84-11.jpg Researchers are tackling the persistent…...
Beckman Coulter Life Sciences Partners with Automata to Accelerate AI-Ready Laboratory Automation
1+ hour, 34+ min ago (233+ words) The partnership is part of a larger investment in which Danaher Ventures will participate in Automata's Series C funding round and join the company's board of directors, strengthening alignment and long-term support for joint innovation. The goal of the collaboration…...
New data tool boosts preparedness for potentially deadly flooding
1+ hour, 39+ min ago (1090+ words) A new tool spearheaded by Northeastern University interfaces with NOAA's National Water Model to deliver historic and forecasted flood data to community members involved in flood and emergency preparedness. When extreme weather strikes, the preparations of emergency planners can have…...
Dissipative Relaxation Transfer Learning Achieves Data-Efficient Electromagnetic Simulation Accuracy
1+ hour, 48+ min ago (726+ words) Researchers have developed a new machine learning technique, dissipative relaxation transfer learning, which improves the accuracy of electromagnetic simulations by initially training models on slightly "lossy" data to stabilise learning before fine-tuning on realistic, lossless scenarios, achieving up to a…...
Qflex Achieves Scalable High-Dimensional Control Via Value-Guided Flow Exploration
1+ hour, 53+ min ago (799+ words) Researchers have developed a new reinforcement learning technique, Qflex, that enables robots and simulated human models to learn complex movements more efficiently by intelligently exploring a vast range of possible actions guided by predicted outcomes, rather than random trial and…...
Poetiq nabs $45.8M in seed funding for its LLM-enhancing ‘meta-system’
2+ hour, 6+ min ago (547+ words) UPDATED 18:43 EST / JANUARY 30 2026 Poetiq Inc., a startup working to make artificial intelligence large language models more capable and cost-efficient, has raised $45.8 million in seed funding. FYRFLY Venture Partners and Surface Ventures jointly led the investment, which was announced on Thursday....
How Logistic Regression Really Reduces Customer Churn
3+ hour, 5+ min ago (478+ words) Logistic Regression ML --> churn risk decision signal Most businesses don't lose customers because of one big failure.They lose them because no one recognized churn risk early enough to act. Usage slowly drops. Support interactions increase. Payments slip. Nothing looks…...
Dmcl Achieves Robust Dai-Tir Performance By Eliminating Hallucinated Visual Cues
3+ hour, 6+ min ago (467+ words) Researchers have developed a new training framework, Diffusion-aware Multi-view Contrastive Learning, which improves text-to-image generation by filtering out misleading visual cues created during the diffusion process and focusing on the user's original intent, resulting in up to a 7. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-73-14.jpg Researchers…...
Benchmark For AI-Aided Chip Design That Evaluates LLMs Across 3 Critical Tasks (UCSD, Columbia)
3+ hour, 6+ min ago (288+ words) Researchers at UCSD and Columbia University published "ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design." Abstract "While Large Language Models (LLMs) show significant potential in hardware engineering, current benchmarks suffer from saturation and limited task diversity,…...