Opinion
CIOOpinion

AI isn’t failing, people are failing with AI

AI isn’t the problem — rushing it into the wrong tasks without the right data, expertise or guardrails is what makes projects fall apart.
IEEE

DeepU-Net: A Parallel Dual-Branch Model for Deeply Fusing Multiscale Features for Road Extraction From High-Resolution Remote Sensing Images

Abstract: The existing encoder–decoder model, or encoder–decoder model with atrous convolutions, has exposed its limitations under diverse environments, such as road scales, shadows, building ...
Morning Overview on MSN

AI model cracks yeast DNA code to turbocharge protein drug output

MIT researchers have built an AI language model that learns the internal coding patterns of a yeast species widely used to manufacture protein-based drugs, then rewrites gene sequences to push protein ...

AI model learns yeast DNA 'language' to boost protein drug output

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds. In a new study, MIT chemical engineers have harnessed artificial ...
IEEE

FastSAM-CD: Remote Sensing Image Change Detection Using Vision Foundation Models with Stronger Encoder and Decoder

Abstract: Remote sensing image change detection (RSICD) is a crucial technique for Earth observation. However, the mainstream RSICD methods still face two main challenges. First, the encoding stage ...
the-decoder

Study finds AI reasoning models generate a "society of thought" with arguing voices inside their process

A new study reveals that reasoning models tackle complex tasks by internally debating between different simulated perspectives, rather than generating responses in a straightforward, linear fashion.
the-decoder

Gemini models dominate new AI rankings for strategic board games

Google's Gemini models are outperforming the competition in board game benchmarks. Google Deepmind and Kaggle have expanded their "Game Arena" platform with two new games: Werewolf and Poker. The ...