Author: Arjun Patel

This 12 months, LUCID acquired two awards for its newest machine imaginative and prescient cameras. The Triton2 EVS, that includes event-based imaging know-how, earned a Gold Award, whereas the Triton10 – 10GigE with RDMA acquired a Silver Award. Richmond, BC, Canada – Could 12, 2025 – LUCID Imaginative and prescient Labs, Inc., a number one designer and producer of commercial cameras, is happy to announce its recognition on the 2025 VSD Innovators Awards, which rejoice excellent innovation in machine imaginative and prescient. The annual awards honor firms and builders advancing the business by means of impactful and revolutionary applied sciences.…

Python has risen to change into some of the common programming languages for robotics, amongst each newer robotic customers and people on the lookout for superior performance. On this information, we clarify all it’s good to know to get began with Python coding for robotics. Whereas not historically thought-about a “robotic programming language, ” Python has grown in reputation amongst roboticists within the final couple of many years because of its versatility, simplicity, and interoperability. At RoboDK, our highly effective and common Python API provides an virtually limitless degree of risk to robotic programming. Whether or not you might be…

North American robotic orders peaked in 2022, when the corporate skilled a number of report quarters in a row. Robotic orders in North America remained basically flat within the first quarter of 2025, in response to the Affiliation for Advancing Automation (A3). The group discovered that corporations bought 9,064 items valued at $580.7 million in Q1 of 2025. In comparison with Q1 2024, this represents a 0.4% improve in items ordered and a 15% rise so as worth, signaling continued demand and elevated funding in higher-value automation techniques. 2024 was a slower 12 months for the North American robotics {industry},…

Theom, the corporate redefining knowledge governance and safety for the AI period, introduced at this time it has raised $20 million in Collection A funding to speed up its mission of securing delicate enterprise knowledge throughout cloud, SaaS, and generative AI platforms.The funding spherical was led by Wing VC, with participation from strategic buyers Databricks Ventures, Snowflake Ventures, and SentinelOne’s S Ventures. Theom will use the brand new capital to broaden product growth, develop its go-to-market staff, and scale deployments with Fortune 500 enterprises and fast-growing AI-native corporations.“We’re thrilled to have the help of such a robust group of buyers…

A V-shaped link-bot composed of self-propelled particles related by means of chain-like hyperlinks. Credit score: Seoul Nationwide College Faculty of Engineering A joint analysis workforce from Seoul Nationwide College and Harvard College has developed a next-generation swarm robotic system impressed by nature—able to motion, exploration, transport, and cooperation, all with out the necessity for exact sensors or centralized management. The research was led by Professor Ho-Younger Kim, Dr. Kyungmin Son, and grasp’s scholar Kwanwoo Kim at SNU’s Division of Mechanical Engineering, and Professor L. Mahadevan and Dr. Kimberly Bowal at Harvard. Their strategy connects easy, lively particles into chain-like constructions…

Synthetic intelligence (AI) stays one of many strongest drivers of enterprise capital funding, proving that the hype cycle isn’t even near completed. In keeping with a latest EY report, 37% of fundraising within the third quarter of 2024 was for AI-related firms, just like second-quarter quantity. Startups utilizing AI are getting observed for his or her capability to sort out massive issues in robotics, automation, healthcare, logistics, and extra. However the actuality is that buyers hear, “We’re utilizing AI” all day. The diploma to which entrepreneurs truly use it varies considerably. There’s even backlash from buyers, together with a 31-page…

Quadruped “robotic canine” might transfer fairly a bit like their canine counterparts on land, however they don’t seem to be practically pretty much as good at swimming (though some can stroll underwater). Such isn’t the case with a brand new mini-dog-bot, nonetheless, which is an knowledgeable at doing the dog-paddle.Recognized appropriately sufficient because the Amphibious Robotic Canine (ARD), the four-legged gadget measures 300 mm lengthy by 100 mm large (11.8 by 3.9 in) and suggestions the scales at 2.25 kg (5 lb). It was created by a staff of scientists led by professors Yunquan Li and Ye Chen from the…

You could not have heard of piezoMEMS — however novel purposes of this tiny, game-changing know-how are poised to reshape the way forward for AI on the edge.In 2023, researchers estimated that utilizing generative synthetic intelligence (genAI) to create a picture used as a lot vitality as charging a smartphone. Now, think about producing AI photographs together with your smartphone.As AI shifts to edge units like smartphones and AR glasses, probably the most compelling and widespread purposes will doubtless revolve round real-time, personalised, and context-aware experiences. These units are all the time with us, so the AI can leverage their…

The event of bodily AI programs, similar to robots on manufacturing facility flooring and autonomous autos on the streets, depends closely on massive, high-quality datasets for coaching. Nonetheless, gathering real-world information is expensive, time-consuming, and sometimes restricted to some main tech corporations. NVIDIA’s Cosmos platform addresses this problem by utilizing superior physics simulations to generate lifelike artificial information on a scale. This allows engineers to coach AI fashions with out the fee and delay related to gathering real-world information. This text discusses how Cosmos improves entry to important coaching information and accelerates the event of secure, dependable AI for real-world…

As synthetic intelligence continues its speedy advance throughout industries, monetary providers companies discover themselves at a crossroads. Desperate to harness AI’s potential, but cautious of rising regulatory scrutiny, many establishments are discovering that the trail to innovation is much extra complicated than anticipated. Latest headlines highlight dangers like AI hallucinations, mannequin bias, and opaque decision-making—points that regulators are more and more eager to handle. But, behind the noise of generative AI hype and compliance issues lies a extra sensible, neglected alternative. Success with AI doesn’t rely upon constructing greater fashions, however on offering them with the suitable and area particular knowledge…