KAIST researchers have developed a safety verification technology that uncovers roughly seven times more hidden vulnerabilities in AI than existing methods. The technology is expected to serve as a foundation for developing safer, more trustworthy AI. The work is published on the arXiv preprint server.

Thousands of peer-reviewed papers on battery devices are published each year. Despite this rapid growth, the data contained within these publications are often reported in different formats and with varying levels of detail and accessibility. The resulting patchwork of information makes it difficult for scientists, engineers, industry partners and policymakers to fully leverage published research and identify opportunities for innovation.

AI company Anthropic has announced that its unreleased model, Claude Mythos Preview, has discovered previously unknown mathematical weaknesses in cryptographic algorithms that human researchers had missed for years.

Generating an image of a person on a computer using text prompts is easy. Generating one with two people is similarly simple. But creating an image of multiple people actually doing something, and faithfully reproducing not just the people but the thing they're doing? Not so easy.

ChatGPT-maker OpenAI has revealed that an autonomous artificial intelligence agent that hacked a popular platform for computer programmers also attempted to breach four other companies during the incident.