International Conference on Sensing Technology

Causal Machine Learning for Customer Retention: a Practical Guide with Python An accessible guide to leveraging causal machine learning for optimizing client retention strategies · Details of this series This article is the second in a series on uplift modeling and causal machine learning. The idea is to dive deep into these methodologies both from a business and a technical perspective. Before jumping into this one, I highly recommend reading the previous episode which explains what uplift modeling is and how it can help your company in general. Link can be found below. From insights to impact: leveraging data science to maximize customer value Uplift modeling: how causal machine learning transforms customer relationships and revenue towardsdatascience.com Introduction Picture this: you’ve been a client of a bank for a couple years. However, for a month or two, you’ve been considering leaving because their application has become too complicated. Suddenly, an employee of the bank call

Europe Automated Non-Destructive Testing (NDT) Services Industry Research 2024-2034: Increase in the Use of Drones and Remote Inspection Tools & Advancements in Robotics and Automation August 26, 2024 06:39 ET| Source: Research and Markets Follow Dublin, Aug. 26, 2024 (GLOBE NEWSWIRE) -- The "Europe Automated Non-Destructive Testing Services Market - Regional Analysis: Focus on Application, Technique, Enabling Technology, and Country - Analysis and Forecast, 2024-2034" report has been added to Research And Markets. com's offering. The Europe automated non-destructive testing (NDT) services market, valued at $1.32 billion in 2023, is expected to reach $3.70 billion by 2034, exhibiting a robust CAGR of 10.09% during the forecast period 2024-2034 One of the primary drivers for the growth of the Europe automated non-destructive testing (NDT) services market is the demand for advanced inspection technologies that offer higher accuracy and efficiency. This demand is driven

Brain-computer interfaces tap AI to enable a man with ALS to speak Recently, researchers have begun developing speech brain-computer interfaces to restore communication for people who cannot speak. BY THE CONVERSATION5 MINUTE READ Brain-computer interfaces are a groundbreaking technology that can help paralyzed people regain functions they’ve lost, like moving a hand. These devices record signals from the brain and decipher the user’s intended action, bypassing damaged or degraded nerves that would normally transmit those brain signals to control muscles. Since 2006, demonstrations of brain-computer interfaces in humans have primarily focused on restoring arm and hand movements by enabling people to control computer cursors or robotic arms. Recently, researchers have begun developing speech brain-computer interfaces to restore communication for people who cannot speak. As the user attempts to talk, these brain-computer interfaces record the person’s unique brain signals associated wit

Sensors take center stage for moving Gen AI to cars, robots As Generative AI moves to the physical realm of cars and robots, sensor simulation will become more important. Nvidia illustrated how its new Omniverse Cloud Sensor RTX microservices can be used to generate high-fidelity sensor simulation for an autonomous vehicle and an autonomous mobile robot. (Nvidia) This story has been updated from an original version that ran June 17. Generative AI has energized industries of all types in many ways: for building better customer service (better chatbots, for example) and organizing data across industries like finance and marketing. It has even given coders shortcuts for building better programs, much less helping administrators in writing reports with predictive capabilities. One area that has received less attention, however, is using GenAI to to build applications for use cases in the generative physical AI realm (yes, some analysts are using that term). These include robotics, especia

Artificial Intelligence: To regulate or not is no longer the question As Artificial Intelligence (AI) creeps into every facet of daily life, its deployment and development have raised new issues for policymakers to consider. Recent online and news media highlight concerns over the re-use of data for model development. For example, how copyright and data protection laws apply to web scraping. The opacity of platform algorithms assigning jobs to gig workers or setting prices for consumers is another brewing problem. With the European Union’s Artificial Intelligence Act recent entry into force on August 1, we can expect an uptick in interest in AI regulation. The EU AI Act adds to a growing collection of laws that regulate AI. Three archetypes have emerged globally. There are targeted laws that regulate the use of AI for specific industry applications. For example, both China and the EU have introduced regulation of recommendation systems deployed by online platforms. Another archetype i

Edible batteries, sensors and actuators unlock robots designed to be eaten EPFL and IIT scientists created this partially edible rolling robot made of pneumatic gelatine legs and an edible tilt sensor EPFL VIEW 3 IMAGES VIEW GALLERY - 3 IMAGES Scientists have already made edible robotic components. The next challenge is integrating them together to create an entire robot snack that could be used in a wide range of applications, from delivering healthcare to monitoring the environment. Imagine ordering drone delivery for your takeout, and then, after eating your food, you eat the delivery drone for dessert. The first part has been happening for a while; the second – the edible robot – could be coming soon, according to scientists from the Swiss Federal Institute of Technology (EPFL). “Bringing robots and food together is a fascinating challenge,” said Dario Floreano, director of the EPFL’s Laboratory of Intelligent Systems (LIS) and the lead author of a recently published perspective ar

Remote Sensing Services Market Key Growth Rate and Future Outlook Press Release, Orbis Research – Introduction The dynamic ecosystem of the worldwide Remote Sensing Services market serves as the basis for digital marketing and research. The language constituents of internet search, Remote Sensing Services play a crucial role in increasing website visibility, generating organic traffic, and eventually increasing conversion rates. An in-depth analysis of the Remote Sensing Services market’s history, present trends, major participants, and potential future growth is provided in this study. Value of Market and CAGR Due to the growing importance of Internet advertising and the growing number of consumers who shop online, the global Remote Sensing Services market has experienced significant expansion in recent years. Based on projections, the market value is expected to reach YY billion in 2024, and it is expected to grow at a Compound Annual Growth Rate (CAGR) of YY% from 2024 to 2032. The

This temperature monitoring tech to prevent fire, make lithium batteries safer for EVs TTape helps detect hotspots vulnerable to thermal runaway on lithium-ion batteries to prevent fire, and explosions and also extend the lifespan of the batteries.Updated: Aug 17, 2024 03:28 PM EST Littelfuse crafts tech to prevent fires, explosions rendered by overheating in lithium-ion batteries in EVs. (Representational image) Despite most electric vehicle (EV) manufacturers resorting to lithium batteries, these betters can suffer through thermal runaway if damaged under very high loads, overcharged, or exposed to high temperatures. Such a situation can lead to fire or an explosion of a battery pack, putting EV passengers at risk. Therefore, Littelfuse an American electronics manufacturing company based in Chicago developed a new technology platform, TTape Distributed Temperature Monitoring Device to enable early detection of localized battery cell overheating. Wet blocking and sport sleep tape, th

The Power of Computer Vision in AI: Unlocking the Future! Human vision extends beyond the mere function of our eyes; it encompasses our abstract understanding of concepts and personal experiences gained through countless interactions with the world. Historically, computers could not think independently. However, recent advancements have given rise to computer vision, a technology that mimics human vision to enable computers to perceive and process information similarly to humans. Computer vision has witnessed remarkable advancements fueled by artificial intelligence and computing capabilities breakthroughs. Its integration into everyday life is steadily increasing, with projections indicating a market size nearing $41.11 billion by 2030 and a compound annual growth rate (CAGR) of 16.0% from 2020 to 2030. What Is Computer Vision? Computer vision is an artificial intelligence domain instructing computers to comprehend and interpret visual data. Leveraging digital images sourced from cam

Ignoring Edge Computing Could Hamper Your IIoT Success Organizations seek ways to optimize operations and gain competitive advantages as the industrial Internet of Things (IIoT) becomes more common. Combining edge computing and Industrial IoT offers such solutions. What could business leaders gain by implementing these technologies? More importantly, what do they have to lose if they ignore them? Companies should consider implementing edge computing for several reasons to gain a competitive advantage. The Value of Edge Computing for Industrial IoT Implementation Edge computing moves data processing and analysis away from centralized systems and toward the network’s boundary. Instead of sending IoT-generated information from the factory floor to the cloud and back, it stores everything on-device or in nearby servers to perform necessary operations locally. This technology is vital for digitalization because it makes deploying and managing an interconnected network of devices much more

Heart Sensor Grows With Tissue to Measure Both Mechanical, Electrical Data In contrast to current cardiac sensors, which can only measure mechanical or electrical data in bulky form factors, the new one-atom-thin device measures both. Researchers from the University of Massachusetts (UMass) Amherst and the Massachusetts Institute of Technology (MIT) recently introduced a bioelectronic mesh system integrated with graphene sensors to monitor the heart. A novel bioelectric mesh. Image used courtesy of UMass Amherst This study, published in Nature, adds to the body of biometric sensing research that focuses particularly on sensors embedded in the body to monitor the function of specific vital organs in real time. The mesh system from UMass Amherst and MIT can simultaneously measure the physical movement of lab-grown human cardiac tissue cells and their electrical signals. Because the system can grow with the heart cells, the researchers could monitor how the heart's electrical and m

A Meta surface Approach to Night Vision [Enlarge image] In a system demonstrated by researchers at the Australian National University, Canberra, a thin lithium-niobate metasurface upconverts an image in infrared light to the visible range. [Image: L. Valencia Molina / Australian National University] In films and video games, plot points sometimes hinge on infrared imaging: The soldier or spy straps on a pair of night-vision goggles, and the skulking enemy is revealed amid the darkness. In reality, though, such devices tend to be bulky and awkward for field use—more Rube Goldberg than James Bond. Now, a research team in Australia hopes to slim down night-vision technology considerably. The team’s secret weapon is an ultracompact, high-Q lithium niobate (LN) metasurface that can handle up-conversion of infrared signals to the visible, where they can be easily processed by conventional CMOS image sensors (Adv. Mater., doi: 10.1002/adma.202402777). The researchers believe that the metasur