This new AI model thinks in images, not just words

Google Brain and DeepMind researcher Andrew Dai, believes that learning from, and reasoning about, images is fundamental to rapid intelligence gains.
The Economist

How to hide from killer drones

The stripes are reminiscent of the “dazzle camouflage” used by the Royal Navy in the first world war. But whereas dazzle ...

Hackers can use 9 of the most popular AI tools to assemble massive botnets

With the ability to take control of distributed devices at scale, HalluSquatting has the potential to achieve various ...
JD Supra

The Intellectual Property Behind the Soccer World Cup: How to Avoid Offsides When Securing IP “Goals”

As the 2026 FIFA World Cup unfolds across North America, the world is focused on the players, coaches, and dramatic moments on the field.
Geopolitical Futures

America Between an Ally and an Adversary

One of Washington’s biggest strategic challenges in the Middle East is how to reach a lasting accommodation with Iran without compromising Israeli security. It must, in other words, balance engagement ...
IEEE

Are Large Vision-Language Models Robust to Adversarial Visual Transformations?

Abstract: Large vision-language models (LVLMs) have demonstrated remarkable capabilities across a wide range of multimodal understanding and reasoning tasks. However, recent research shows that LVLMs ...
IEEE

SAR-PMAE: Phase-Modulation-Guided Adversarial Example Generation for SAR Images

Abstract: The presence of adversarial examples can cause synthetic aperture radar (SAR) image classification systems to produce incorrect predictions, severely compromising their accuracy and ...