Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

My ChatGPT Images 2.0 results were impressive, but occassionally wrong. Here's how it handles branding, text, and ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

As far as he is aware, David Jason has only sworn once on TV. “There was one moment in A Touch of Frost, when I said ‘f---’ ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Ask a top-tier AI agent to summarize a legal brief or write a Python function, and it will usually deliver. Ask it to find ...

Google's eighth-generation TPUs split training and inference into two specialised chips. Here's how TPU 8t and TPU 8i work, ...

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

Omni, a fully omnimodal AI model with strong benchmark results, multilingual support, and new audio-visual coding capabilities.

Gemma 4 made local LLMs feel practical, private, and finally useful on everyday hardware.

Artificial intelligence is the brain behind modern robots, especially those that need to operate without constant human input ...

Learn how to scrape Amazon reviews using 7 proven tactics, and turn competitor data, pain points & keywords into real revenue growth with Chat4data.