NVIDIA Researchers released PersonaPlex-7B-v1, a full duplex speech to speech conversational model that targets natural voice interactions with precise persona […]
Category: Artificial Intelligence
Black Forest Labs Releases FLUX.2 [klein]: Compact Flow Models for Interactive Visual Intelligence
Black Forest Labs releases FLUX.2 [klein], a compact image model family that targets interactive visual intelligence on consumer hardware. FLUX.2 […]
Google AI Releases TranslateGemma: A New Family of Open Translation Models Built on Gemma 3 with Support for 55 Languages
Google AI has released TranslateGemma, a suite of open machine translation models built on Gemma 3 and targeted at 55 […]
NVIDIA AI Open-Sourced KVzap: A SOTA KV Cache Pruning Method that Delivers near-Lossless 2x-4x Compression
As context lengths move into tens and hundreds of thousands of tokens, the key value cache in transformer decoders becomes […]
DeepSeek AI Researchers Introduce Engram: A Conditional Memory Axis For Sparse LLMs
Transformers use attention and Mixture-of-Experts to scale computation, but they still lack a native way to perform knowledge lookup. They […]
Google AI Releases MedGemma-1.5: The Latest Update to their Open Medical AI Models for Developers
Google Research has expanded its Health AI Developer Foundations program (HAI-DEF) with the release of MedGemma-1.5. The model is released […]
Understanding the Layers of AI Observability in the Age of LLMs
Artificial intelligence (AI) observability refers to the ability to understand, monitor, and evaluate AI systems by tracking their unique metrics—such […]
Google AI Releases Universal Commerce Protocol (UCP): An Open-Source Standard Designed to Power the Next Generation of Agentic Commerce
Can AI shopping agents move beyond sending product links and actually complete trusted purchases end to end inside a chat? […]
How This Agentic Memory Research Unifies Long Term and Short Term Memory for LLM Agents
How do you design an LLM agent that decides for itself what to store in long term memory, what to […]
A Coding Guide to Demonstrate Targeted Data Poisoning Attacks in Deep Learning by Label Flipping on CIFAR-10 with PyTorch
In this tutorial, we demonstrate a realistic data poisoning attack by manipulating labels in the CIFAR-10 dataset and observing its […]
