
Perceptron offers an AI model that it says can help machines navigate the world while also providing in-depth visual intelligence.
A startup founded by former Meta AI researchers has developed a visual AI model designed to help robots operate independently in industrial settings like warehouses and factory floors. The model, released as an open-weight system, can help machines perceive their environment, reason about tasks, and take action, such as reading package labels and deciding which boxes to pick up in sequence. Unlike existing industrial AI software, this model is general-purpose rather than built for single repetitive tasks, allowing it to adapt flexibly to different environments. The startup says the software could be integrated across manufacturing, logistics, warehousing, security, and other industries.

While restaurant owners might look to generative AI as a shortcut to sprucing up their menu, customers can viscerally sense that something is wrong with the food.
.gif&s=kx7H9a1S3ZIMP7WHNPT2XBlIq6uwDsVvpMZbLf-dnSA)
ChatGPT, Claude, and Grok all suffered outages at nearly the exact same time for reasons that remain murky.

Most teams building a shopping assistant or agent rebuild the same scaffolding: an agent loop, a tool layer over the catalog, an approval gate, and an eval suite. Anthropic has now released that scaffolding as code. This week, they published anthropics/commerce-agents, a reference blueprint containing a shopping agent and a merchant agent, along with four runnable verticals: retail, travel, telecom and entertainment. It ships alongside two write-ups: a product announcement and an engineering de
Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.
Browse AI courses on Maven