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Seattle Mayor Katie Wilson announced a $1.7 million initiative to fund grocery store security as retail theft, break-ins and vandalism threaten independent grocers.

Canadian Prime Minister Mark Carney has championed the "Buy Canadian" movement, saying the power lies in "decisions taken at the kitchen table, not the boardroom table." Canadians are responding en masse, embracing patriotic shopping, even with the challenges it can present.

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Maryland is set to become the first state to ban surveillance pricing in grocery stores after Gov. Wes Moore said he will sign the new law taking effect October 2026.

Existing benchmarks evaluating biases in large language models (LLMs) primarily rely on explicit cues, declaring protected attributes like religion, race, gender by name. However, real-world interactions often contain implicit biases, inferred subtly through names, cultural cues, or traits. This critical oversight creates a significant blind spot in fairness evaluation. We introduce ImplicitBBQ, a benchmark extending the Bias Benchmark for QA (BBQ) with implicitly cued protected attributes across 6 categories. Our evaluation of GPT-4o on ImplicitBBQ illustrates troubling performance disparity from explicit BBQ prompts, with accuracy declining up to 7% in the "sexual orientation" subcategory and consistent decline located across most other categories. This indicates that current LLMs contain implicit biases undetected by explicit benchmarks. ImplicitBBQ offers a crucial tool for nuanced fairness evaluation in NLP.

The sidewalk outside Majed Zeidan's grocery store in San Francisco's Mission District has stayed filled with flowers, candles, memorials and pictures since his cat was crushed under a Waymo in late October. A month later, a Waymo reportedly crushed a dog. Amid the pictures of the cat, a visitor had placed a poster that said, "save the cat, kill the car". That's when Zeidan knew Kit Kat, his bodega cat, had become the face of the simmering discontent over San Francisco's growing number of self-driving cars. Residents became increasingly comfortable riding one, costumed Halloween parade goers clambered on its rooftops and danced, and pedestrians occasionally banged its bonnet to get it to give way to them.

Food Does the Grocery Cart Actually Need a Makeover? The rolling basket we dump our food in hasn't changed much in almost a century, and for good reason--it works. But meddling tech gurus think they know better. In the past few decades there have been numerous incremental changes to grocery stores, like the crazed proliferation of snacks and frozen food, security cameras tracking anything that moves, and self-checkout robots flashing in panic because they can't detect your Twix bar in the bag. Carts remain the open-ceiling prison cells on wheels they were 50 years ago, and baskets don't look much different either.

Abstract-- High degree-of-freedom dual-arm robots are becoming increasingly common due to their morphology enabling them to operate effectively in human environments. However, motion planning in real-time within unknown, changing environments remains a challenge for such robots due to the high dimensionality of the configuration space and the complex collision-avoidance constraints that must be obeyed. In this work, we propose a novel way to alleviate the curse of dimensionality by leveraging the structure imposed by shared joints (e.g. First, we build two dynamic roadmaps (DRM) for each kinematic chain (i.e. Then, we show that we can leverage this structure to efficiently search through the composition of the two roadmaps and largely sidestep the curse of dimensionality. Finally, we run several experiments in a real-world grocery store with this motion planner on a 19 DoF mobile manipulation robot executing a grocery fulfillment task, achieving 0.4s average planning times with 99.9% success rate across more than 2000 motion plans.

A new company called Sandbar has unveiled a smart wearable called Stream Ring, which uses a microphone to record your softly spoken thoughts. Everyone has an inner monologue. When you're commuting on the train, riding a bike, or in the shower, chances are you're thinking about the day ahead, tasks you need to do, or maybe just mulling over a conversation you had the night before. Much of this stays in our brains, soon to be forgotten or pushed away when the train comes to the station. But what if you could have it all subtly recorded in one place, ready for you to digest later on?