Intellectual hub of the topic
In this section, we curate materials dedicated to systems that transcend the limitations of text input and learn to perceive the world through diverse data channels. We are exploring architectures capable of simultaneously processing and aligning visual imagery, sound, text, and sensory information. We view multimodality not merely as a technical complexity, but as a fundamental shift in the way meanings are conveyed and interpreted.
We're breaking down how neural networks learned to guess age from a face: from pixels and bones to the tricky ethical questions that refuse to go away.
Google has released the Gemma 4 family of models – from compact versions for mobile devices to powerful systems capable of competing with solutions twice their size.
Google has released Gemma 4 – a family of four open models that run directly on-device, from smartphones to laptops, without relying on the cloud.
LG Research has introduced EXAONE 4.5, an open multimodal language model capable of simultaneously analyzing text and images.
AI: Events
Technical context • Products
Google DeepMind has released Gemma 4 – an open family of multimodal models that process text, images, video, and audio directly on-device.
AI: Events
Technical context • Products
Alibaba has released Qwen3.6-Plus, an updated multimodal model with enhanced agent capabilities, a one-million-token context, and improved code support.
Alibaba introduces Qwen3.6-Plus, an enterprise AI model capable of independently developing code and analyzing visual content in real-world scenarios.
AI: Events
Technical context • Research
The Falcon Vision team from the Technology Innovation Institute has introduced Falcon Perception, a compact model that can identify and highlight objects in images based on text descriptions.
Meta has introduced the TRIBE v2 neural network, capable of predicting brain activity in response to complex stimuli – without prior fine-tuning for a specific individual.
Don’t miss a single experiment!
Subscribe to our Telegram channel —
we regularly post announcements of new books, articles, and interviews.