Real-time interactive grasp synthesis for dynamic objects remains challenging as existing methods fail to achieve low-latency inference while maintaining promptability. To bridge this gap, we propose SPGrasp (spatiotemporal prompt-driven dynamic grasp synthesis), a novel framework extending segment anything model v2 (SAMv2) for video stream grasp estimation. Our core innovation integrates user prompts with spatiotemporal context, enabling real-time interaction with end-to-end latency as low as 59 ms while ensuring temporal consistency for dynamic objects. In benchmark evaluations, SPGrasp achieves instance-level grasp accuracies of 90.6% on OCID and 93.8% on Jacquard. On the challenging GraspNet-1Billion dataset under continuous tracking, SPGrasp achieves 92.0% accuracy with 73.1 ms per-frame latency, representing a 58.5% reduction compared to the prior state-of-the-art promptable method RoG-SAM while maintaining competitive accuracy. Real-world experiments involving 13 moving objects demonstrate a 94.8% success rate in interactive grasping scenarios. These results confirm SPGrasp effectively resolves the latency-interactivity trade-off in dynamic grasp synthesis.

Artists and writers all over the world have spent the past two years engaged in an existential battle. Generative-AI programs such as ChatGPT and DALL-E are built on work stolen from humans, and machines threaten to replace the artists and writers who made the material in the first place. Their outrage is well warranted--but their arguments don't always make sense or substantively help defend humanity. Over the weekend, the legendary science-fiction writer Ted Chiang stepped into the fray, publishing an essay in The New Yorker arguing, as the headline says, that AI "isn't going to make art." Chiang writes not simply that AI's outputs can be or are frequently lacking value but that AI cannot be used to make art, really ever, leaving no room for the many different ways someone might use the technology.

Jacquard is an Machine Learning - powered ambient computing platform that takes ordinary, familiar objects and enhances them with new digital abilities and experiences, while remaining true to their original purpose. We'll describe how we have trained and deployed resource-constrained machine learning models that get embedded seamlessly into everyday garments and accessories; like your favorite jacket, backpack, or a pair of shoes that you love to wear. Jacquard is an ML-powered ambient computing platform that takes ordinary, familiar objects and enhances them with new digital abilities and experiences, while remaining true to their original purpose. We'll describe how we have trained and deployed resource-constrained machine learning models that get embedded seamlessly into everyday garments and accessories; like your favorite jacket, backpack, or a pair of shoes that you love to wear.

This week in artificial intelligence (AI) news, we take a look at AI and other tech being used to fight novel coronavirus (COVID-19), how AI and technology are impacting our society, and the implications for wearable tech. As the novel coronavirus (COVID-19) spreads throughout the world, individuals from various backgrounds and disciplines, such as healthcare and tech, are coming together to figure out how to solve this crisis as well as mitigate the growing fear from the general public. One area that is working towards this goal is artificial intelligence (AI). In a report last month, the World Health Organization (WHO) said, "AI and big data were a key part of China's response to the virus." One way this tech is being utilized is through anonymized data collected on people's movements, helping them to predict the spread of the virus.

At the beginning of human civilisation the brain was not recognised as the centre of our intelligence. It was Galen, one of the leading physicians of the Roman empire during the second century, who wrote an essay where he speculated that the brain was the centre of cognition and willed action, one of the first people to recognise its importance. On its quest to develop intelligent machines, humanity developed many examples of machines that could perform basic numerical calculations, like the Pascaline, a machine created by Blaise Pascal that, using a system of gears and wheels, could add and subtract numbers. Pascal was a brilliant mathematician and a philosopher, whose conception of human existence was that of an unstable reality in which we live in continuous contradictions, moral, human and even physical, in between the infinitely small and the infinitely large. Born at the beginning of the XVII century, he lived in a period that had not yet known the enlightment.

Over the next 25 years, a revolutionary technology will transform our world. It will save us money, boost production of goods fivefold, and make our lives more comfortable. But it will crater wages by 90%, drive whole swaths of skilled workers to starvation, destroy families, and cause wide-scale political and social upheaval, sparking mobs, riots, and armed rebellion. The invention: The Jacquard loom. The Jacquard loom is a wooden contraption that fits to the head of a regular loom. You feed it punch cards, and it controls the weaving patterns for you.

There's no denying that the technology world is obsessed with fashion. Amazon, Apple and Google, three of the biggest names in tech, are all trying to carve their own path into the fashion space. Apple's doing so with fancy smartwatches, Amazon with a shopping platform and voice-controlled cameras, and Google with conductive fabrics embedded in a smart jacket made by Levi's. And the interest is mutual. Fashion designer Karl Lagerfeld, Chanel's creative director, has expressed his love for tech by experimenting with partially 3D-printed pieces and runway shows that simulate a rocket launch.