Technology
Overcoming Core Engineering Barriers in Humanoid Robotics Development
Register now free-of-charge to explore this white paper This Whitepaper offers engineers and researchers a technical examination of the key design barriers in humanoid robotics and the component-level strategies emerging to address them, from sensing and motion control to power systems and thermal management. What you will learn about: The core engineering challenges — complex motion control, safe human-robot interaction, and hardware cost constraints — that currently limit practical humanoid robot deployment. Sensing system architectures: how IMUs, gyroscopes, accelerometers, tactile sensors, and AMR magnetic sensors support real-time posture estimation, perception fusion, and environmental awareness. Motion and actuation design considerations including actuator-level power delivery, motor noise mitigation, PCB bend-stress resistance, and dexterous hand integration. Power and thermal system trade-offs: battery chemistry selection (LFP vs. NCA), BMS design, DC/DC converter topologies, and thermistor-based protection for operational reliability. Click 'LOOK INSIDE' to Download Now.
US startup advertises 'AI bully' role to test patience of leading chatbots
The job's only prerequisite is having an'extensive personal history of being let down by technology'. The job's only prerequisite is having an'extensive personal history of being let down by technology'. US startup advertises'AI bully' role to test patience of leading chatbots Imagine a day at work where your main task is to pick a fight with a computer. No meetings, no emails - just you, a chair and a chatbot with the maddening tendency to think it has the cleverest mind in the room. The job title alone raises an eyebrow: "AI bully".
Rep. Swalwell, candidate for California governor, has an AI side gig
Things to Do in L.A. Tap to enable a layout that focuses on the article. Rep. Swalwell, candidate for California governor, has an AI side gig This is read by an automated voice. Please report any issues or inconsistencies here . Rep. Eric Swalwell co-founded Findraiser, an AI tool that analyzes campaign fundraising data. Findraiser is being paid by dozens of campaigns, including his own.
The Fight to Hold AI Companies Accountable for Children's Deaths
The Fight to Hold AI Companies Accountable for Children's Deaths After a series of suicides allegedly linked to AI chatbots, one lawyer is trying to hold companies like OpenAI accountable. Cedric Lacey relied on a camera to check on his kids while he was working as a commercial van driver going to and back from Alabama. Each morning, he would tune into the feed of his living room to make sure his teenage son, Amaurie, and his 14-year-old daughter were packing up their bags and getting ready to leave for school. But one morning last June, Lacey didn't see Amaurie up and about. Concerned, he called home, only to find out that his 17-year-old had hanged himself.
Gamified math. Video read-alouds. Why parents are saying no to screens in class
Things to Do in L.A. Kate Brody's 7-year-old son plays at home in North Hollywood on March 14. This is read by an automated voice. Please report any issues or inconsistencies here . Early childhood experts say excessive screen time displaces hands-on learning and peer interaction critical to development. At least 11 states have considered legislation limiting technology in the classroom this year.
California used faulty DUI tests for nearly 10 years, state Justice Department says
Things to Do in L.A. Tap to enable a layout that focuses on the article. A police officer in Germany uses a pipette to transfer urine from a sample cup to a rapid drug test last month. A small percentage of alcohol tests used in California have shown accuracy problems. This is read by an automated voice. Please report any issues or inconsistencies here .
Interview with AAAI Fellow Yan Liu: machine learning for time series
Each year the AAAI recognizes a group of individuals who have made significant, sustained contributions to the field of artificial intelligence by appointing them as Fellows. Over the course of the next few months, we'll be talking to some of the 2026 AAAI Fellows . In this interview, we met with Yan Liu, University of Southern California, who was elected as a Fellow . We found out about how time series research has progressed, the vast range of applications, and what the future holds for this field. Could you start with a quick introduction to your area of research?
Get Ready for a Year of Chaotic Weather in the US
Despite being declared the third-hottest year on record, 2025 was a relatively quiet year for climate disasters in the US. No major hurricanes made landfall, while the total number of acres burned in wildfires last year--a way of measuring the intensity of wildfire season --fell below the 10-year average. But starting this week, the West is experiencing what looks to be a record-breaking heat wave, while forecasting models predict that a strong El Niño event is likely to emerge later this year. These two unrelated phenomena could set the stage for a long stretch of unpredictable and extreme weather reaching into next year, compounding the effects of a climate that's getting hotter and hotter thanks to human activity. Beginning this week and heading into next, a massive ridge of high-pressure air will bring record-breaking temperatures to the American West.
Cross-Modality Perturbation Synergy Attack for Person Re-identification
In recent years, there has been significant research focusing on addressing security concerns in single-modal person re-identification (ReID) systems that are based on RGB images. However, the safety of cross-modality scenarios, which are more commonly encountered in practical applications involving images captured by infrared cameras, has not received adequate attention. The main challenge in cross-modality ReID lies in effectively dealing with visual differences between different modalities. For instance, infrared images are typically grayscale, unlike visible images that contain color information. Existing attack methods have primarily focused on the characteristics of the visible image modality, overlooking the features of other modalities and the variations in data distribution among different modalities. This oversight can potentially undermine the effectiveness of these methods in image retrieval across diverse modalities. This study represents the first exploration into the security of cross-modality ReID models and proposes a universal perturbation attack specifically designed for cross-modality ReID.