Al, Analytics and Automation
Baidu Releases ERNIE-4.5-21B-A3B-Thinking: A Compact MoE Model for Deep Reasoning
Baidu AI Research team has just released ERNIE-4.5-21B-A3B-Thinking, a new reasoning-focused large language model designed around efficiency, long-context reasoning, and...
ROC AUC vs Precision-Recall for Imbalanced Data
ROC AUC vs Precision-Recall for Imbalanced DataImage by Editor | ChatGPT Introduction When building machine learning models to classify imbalanced...
MBZUAI Researchers Release K2 Think: A 32B Open-Source System for Advanced AI Reasoning and Outperforms 20x Larger Reasoning Models
A team of researchers from MBZUAI’s Institute of Foundation Models and G42 released K2 Think, is a 32B-parameter open reasoning...
Multi-Agent Systems: The Next Frontier in AI-Driven Cyber Defense
Multi-Agent Systems: The Next Frontier in AI-Driven Cyber DefenseImage by Editor | ChatGPT Introduction The increasing sophistication of cyber threats...
Alibaba Qwen Team Releases Qwen3-ASR: A New Speech Recognition Model Built Upon Qwen3-Omni Achieving Robust Speech Recogition Performance
Alibaba Cloud’s Qwen team unveiled Qwen3-ASR Flash, an all-in-one automatic speech recognition (ASR) model (available...
Role of Labeled Data in Autonomy
Collaboration among agents further amplifies their power. Multiple AI agents can interact to solve larger, more complex problems without continuous...
Instant Social Videos or Just Another Hype?
Hoox welcomes you with a bold claim: “Generate perfect video in seconds. No skills needed.” Three steps lay it out...
ParaThinker: Scaling LLM Test-Time Compute with Native Parallel Thinking to Overcome Tunnel Vision in Sequential Reasoning
Why Do Sequential LLMs Hit a Bottleneck? Test-time compute scaling in LLMs has traditionally relied on extending single reasoning paths....
Google’s “Nano Banana” Takes a Swing at ChatGPT in AI Image Battle – And It’s Faster Than You’d Think
Over the weekend, Google’s newest AI toy, Nano Banana, went head-to-head with OpenAI’s ChatGPT in a face-off that felt less...
A New MIT Study Shows Reinforcement Learning Minimizes Catastrophic Forgetting Compared to Supervised Fine-Tuning
What is catastrophic forgetting in foundation models? Foundation models excel in diverse domains but are largely static once deployed. Fine-tuning...
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