Google is piloting "Learn About," an innovative AI learning tool using the LearnLM AI model. Unlike standard chatbots, "Learn About" offers an interactive approach, incorporating quizzes, lists, and contextual information for a deeper understanding. Currently in limited release, the platform emphasizes reliable educational sources, setting it apart from general AI tools.

Today Otherlab, a sort of incubator/skunkworks, unveiled this aluminum-framed Lightfoot scooter.

It's got a 48-volt, 1.1kWh battery that provides up to 37 miles (60 km) of range, and which can be charged at a standard wall socket. But as you've undoubtedly noticed, the scooter has rather a lot of solar panels. Otherlab says you can use the sun to get up to 18 miles (28 km) of additional range. "Each hour of sunbathing recharges Lightfoot with 3 miles of solar-powered freedom," the firm writes.

I can't imagine why they've not photographed this, but the Lightfoot reportedly sports a lockable storage compartment that can hold "more than 1.5 cubic feet (45.2 liters)–comparable in size to a carry-on suitcase," Otherlab writes. "This compartment can comfortably fit up to 33 lbs. (15kg) of cargo, enough space for three large grocery bags, a work bag, a helmet or anything else you need to stash on your travels. Its weatherproof design and sturdy lock protect your stuff from prying eyes and the elements, ensuring your belongings arrive as safely as you do."

The Lightfoot is retailing for $4,995, and is expected to ship in January.

Cognitive/AI technologies for customer engagement are white hot. No wonder professionals, who had removed AI from their resumes, are scrambling to add it back in!

TASHKENT, 29 July 2016 - A central area of Tashkent is to be lit by 20 autonomous street light systems fully powered by solar energy as part of a pilot project officially launched today by the OSCE Project Co-ordinator in Uzbekistan.

The Co-ordinator is supporting the host country in the area of green economy policies, including the analysis of costs and benefits in using environmentally-friendly and sustainable systems in street lighting and urban planning.

Senior Project Officer at the OSCE Project Co-ordinator Hans-Ullrich Ihm said that urban street lighting powered by solar energy is one of many possibilities that contribute to preserving our environment by reducing the consumption of fossil fuel and emissions. He added that the Project Co-ordinator strives to support the government in implementing policies advocating for such technologies.

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The right internet backup plan can save you in the event of unfortunate internet outages.

Apple is rumored to be bringing out a new AI-powered home command center as it aims to catch up to… Continue reading Apple to enter smart home market with new AI-powered home command center, rumor says

The post Apple to enter smart home market with new AI-powered home command center, rumor says appeared first on ReadWrite.

From the Ford Nucleon to the Studebaker-Packard Astral, these vehicles failed to progress past the prototype stage in the 1950s and 1960s

Slack, the work management and productivity platform, is reportedly working on a new artificial intelligence (AI) feature. As per a report, the new feature is called AI file summary, and it can summarise documents uploaded to the platform. The new feature is said to be able to summarise text-heavy files to help users quickly get a gist of the topic. This is an under-development feature, so it might not be visible to current users.

Drago Nesa, entrepreneur, international circus performer and longest-body-burn-while-hanging-from-their-teeth world record holder, teaches aerial silks at SkyHigh Odditorium, a Richmond-based aerial arts and acrobatics school where strength training and choreography fuse in midair. “When you do aerial,” she said, “you’re doing something that you think is impossible. And when a person can conquer their ability to […]

Noida-based startup Boltt Sports Technologies will soon introduce fitness wearables, connected solutions and a fitness kit that will include smart shoes, smart band and health and training apps, all powered by Artificial Intelligence (AI).

Google’s new AI-powered ‘Learn About’ experiment will adapt to users’ interests and learning goals, per the company, but it is not yet publicly available in India

We're thrilled to announce an exciting update for Tithely Church Apps – the groundbreaking Automatic App Builder, powered by AI.

In today's fast-paced tech landscape, AI is now redefining electrical engineering design. WSCAD introduces ELECTRIX AI, the world's first AI-powered Electrical CAD solution, eliminating tedious manual steps and completing tasks in mere seconds – slashing design time by up to 99%.

Crypto, soaring once again, could reach $100,000. As it becomes more expensive, you could afford to buy in less quantity or get into mining as an alternative option, which is what Opal is about today. Opal, as the world’s first A.I.-powered crypto-mining app, could get you up to $29 in bitcoin every 4 hours! For […]

Marketing technology has evolved so fast that before you know it, chatbots have also gone through a radical make-over in their algorithm and appearance. You may recall that for chatbots of old, you need to ‘preset’ it with a list of predefined questions and the expected corresponding responses/answers, which takes time as well as work […]

Big Blue Ceiling, a leader in cutting-edge AI and autonomous research technology, is excited to announce AuRA (Autonomous Research Assistant), a groundbreaking AI-powered application set to transform medical research reporting. Built on IntellectCascade, Big Blue Ceiling’s Multiagentic and Multimodal AI framework, AuRA is poised to empower healthcare providers with real-time insights, reshaping patient engagement and [PR.com]

BestFit PEO Solutions, a trusted name in Professional Employer Organization Solutions, is thrilled to announce the launch of BestFit Recruiting, a new recruiting arm powered by KOO Recruit. [PR.com]

(Telecompaper) Radian Arc has signed a partnership agreement with Vietnamese technology services provider Comit...

1. Android 15 QPR2 brings the newest Linux kernel to all tensor-powered phones and tablets  Android Police
2. Here’s everything new in Android 15 QPR2 Beta 1 [Gallery]  9to5Google
3. Your Google Pixel Phone's Newest Android 15 Beta Update Arrived  Droid Life
4. Google is preparing to bring back a beloved customization feature from Android 11  Android Authority
5. Android 15 QPR2 beta 1 release includes major upgrade for Tensor-powered Pixels  PhoneArena

Students at Kumaraguru Institutions in Coimbatore designed a hydrogen fuel cell car for the Shell Eco-Marathon, pushing boundaries in sustainable automotive technology

1. Apple to Launch AI-Powered Home 'Command Center' as Soon as March 2025  MacRumors
2. Apple’s Next Device Is an AI Wall Tablet for Home Control, Siri and Video Calls  Bloomberg
3. Apple is going after Google and Amazon with a new smart home competitor  Quartzy
4. Apple’s rumored six-inch ‘AI wall tablet’ could control your smart home by March 2025  The Verge
5. I effectively previewed Apple’s wall-mounted smart display in 2019, and I think it’ll be a winner  9to5Mac

Just in case you missed the memo, the Chinese are starting to own the electric car business. Sure Tesla gets the headlines, but behind the scenes companies like Geely, SAIC, BYD and Chery are making big big waves. So no surprise then to find a tiny brand doing some interesting stuff, like this Blaval M7 solar powered EV. The range starts at a ridiculously low $5000 for the ultra slow golf cart model, but spend a little more and you’re...

The post Blaval M7 – Solar Powered EV From $5000 appeared first on The Red Ferret Journal.

Elections hold immense significance in shaping the leadership of a nation or organisation, serving as a pivotal moment that influences the trajectory of the entity involved. Despite their centrality to modern democratic systems, elections face a significant hurdle: widespread mistrust in the electoral process. This pervasive lack of confidence poses a substantial threat to the democratic framework, even in the case of prominent democracies such as India and US, where inherent flaws persist in the electoral system. Issues such as vote rigging, electronic voting machine (EVM) hacking, election manipulation, and polling booth capturing remain prominent concerns within the current voting paradigm. Leveraging blockchain for electronic voting systems offers an effective solution to alleviate the prevailing apprehensions associated with e-voting. By incorporating blockchain into the electoral process, the integrity and security of the system could be significantly strengthened, addressing the current vulnerabilities and fostering trust in democratic elections.

Aim/Purpose: Accurate detection of vacant parking spaces is crucial for autonomous parking. Deep learning, particularly Graph Neural Networks (GNNs), holds promise for addressing the challenges of diverse parking lot appearances and complex visual environments. Our GNN-based approach leverages the spatial layout of detected marking points in around-view images to learn robust feature representations that are resilient to occlusions and lighting variations. We demonstrate significant accuracy improvements on benchmark datasets compared to existing methods, showcasing the effectiveness of our GNN-based solution. Further research is needed to explore the scalability and generalizability of this approach in real-world scenarios and to consider the potential ethical implications of autonomous parking technologies. Background: GNNs offer a number of advantages over traditional parking spot detection methods. Unlike methods that treat objects as discrete entities, GNNs may leverage the inherent connections among parking markers (lines, dots) inside an image. This ability to exploit spatial connections leads to more accurate parking space detection, even in challenging scenarios with shifting illumination. Real-time applications are another area where GNNs exhibit promise, which is critical for autonomous vehicles. Their ability to intuitively understand linkages across marking sites may further simplify the process compared to traditional deep-learning approaches that need complex feature development. Furthermore, the proposed GNN model streamlines parking space recognition by potentially combining slot inference and marking point recognition in a single step. All things considered, GNNs present a viable method for obtaining stronger and more precise parking slot recognition, opening the door for autonomous car self-parking technology developments. Methodology: The proposed research introduces a novel, end-to-end trainable method for parking slot detection using bird’s-eye images and GNNs. The approach involves a two-stage process. First, a marking-point detector network is employed to identify potential parking markers, extracting features such as confidence scores and positions. After refining these detections, a marking-point encoder network extracts and embeds location and appearance information. The enhanced data is then loaded into a fully linked network, with each node representing a marker. An attentional GNN is then utilized to leverage the spatial relationships between neighbors, allowing for selective information aggregation and capturing intricate interactions. Finally, a dedicated entrance line discriminator network, trained on GNN outputs, classifies pairs of markers as potential entry lines based on learned node attributes. This multi-stage approach, evaluated on benchmark datasets, aims to achieve robust and accurate parking slot detection even in diverse and challenging environments. Contribution: The present study makes a significant contribution to the parking slot detection domain by introducing an attentional GNN-based approach that capitalizes on the spatial relationships between marking points for enhanced robustness. Additionally, the paper offers a fully trainable end-to-end model that eliminates the need for manual post-processing, thereby streamlining the process. Furthermore, the study reduces training costs by dispensing with the need for detailed annotations of marking point properties, thereby making it more accessible and cost-effective. Findings: The goal of this research is to present a unique approach to parking space recognition using GNNs and bird’s-eye photos. The study’s findings demonstrated significant improvements over earlier algorithms, with accuracy on par with the state-of-the-art DMPR-PS method. Moreover, the suggested method provides a fully trainable solution with less reliance on manually specified rules and more economical training needs. One crucial component of this approach is the GNN’s performance. By making use of the spatial correlations between marking locations, the GNN delivers greater accuracy and recall than a completely linked baseline. The GNN successfully learns discriminative features by separating paired marking points (creating parking spots) from unpaired ones, according to further analysis using cosine similarity. There are restrictions, though, especially where there are unclear markings. Successful parking slot identification in various circumstances proves the recommended method’s usefulness, with occasional failures in poor visibility conditions. Future work addresses these limitations and explores adapting the model to different image formats (e.g., side-view) and scenarios without relying on prior entry line information. An ablation study is conducted to investigate the impact of different backbone architectures on image feature extraction. The results reveal that VGG16 is optimal for balancing accuracy and real-time processing requirements. Recommendations for Practitioners: Developers of parking systems are encouraged to incorporate GNN-based techniques into their autonomous parking systems, as these methods exhibit enhanced accuracy and robustness when handling a wide range of parking scenarios. Furthermore, attention mechanisms within deep learning models can provide significant advantages for tasks that involve spatial relationships and contextual information in other vision-based applications. Recommendation for Researchers: Further research is necessary to assess the effectiveness of GNN-based methods in real-world situations. To obtain accurate results, it is important to employ large-scale datasets that include diverse lighting conditions, parking layouts, and vehicle types. Incorporating semantic information such as parking signs and lane markings into GNN models can enhance their ability to interpret and understand context. Moreover, it is crucial to address ethical concerns, including privacy, potential biases, and responsible deployment, in the development of autonomous parking technologies. Impact on Society: Optimized utilization of parking spaces can help cities manage parking resources efficiently, thereby reducing traffic congestion and fuel consumption. Automating parking processes can also enhance accessibility and provide safer and more convenient parking experiences, especially for individuals with disabilities. The development of dependable parking capabilities for autonomous vehicles can also contribute to smoother traffic flow, potentially reducing accidents and positively impacting society. Future Research: Developing and optimizing graph neural network-based models for real-time deployment in autonomous vehicles with limited resources is a critical objective. Investigating the integration of GNNs with other deep learning techniques for multi-modal parking slot detection, radar, and other sensors is essential for enhancing the understanding of the environment. Lastly, it is crucial to develop explainable AI methods to elucidate the decision-making processes of GNN models in parking slot detection, ensuring fairness, transparency, and responsible utilization of this technology.

Psychological empowerment has been studied extensively over the past few decades in a variety of contexts and appears to be especially salient within dynamic and complex environments such as healthcare. However, a recent meta-analysis found that psychological empowerment relationships vary significantly across studies, and there is still a rather limited understanding of how empowerment operates across levels. Accordingly, we advance and test a multi-level model of empowerment which seeks to better understand the unique and synergistic effects between unit and individual empowerment in hospital units. Analysis of data involving 544 individuals in 78 units, collected from multiple sources over three different time periods, revealed that unit empowerment evidenced a synergistic interaction with individual-level psychological empowerment as related to individuals' job performance, as well as an indirect effect on performance via individual empowerment, while controlling for previous performance levels. Notably, these effects were significant at relatively high, but not at relatively low levels of unit empowerment. Furthermore, we found that unit voice climate increased unit empowerment and thereby enhanced individual psychological empowerment. These findings suggest that, in complex and dynamic environments, empowering work units is an important means by which leaders can enhance individuals' performance.

Hyundai Rotem, a subsidiary of South Korea’s Hyundai Group, has announced a pioneering development for the Republic of Korea (ROK) Army: a hydrogen-powered K3 main battle tank. Set to be among the most advanced military vehicles in the world, the K3 aims to redefine future warfare by leveraging eco-friendly fuel cells, autonomous technologies, and advanced firepower.

Hyundai Rotem’s K3 project is a collaborative effort with South Korea’s Agency for Defence Development and other national research institutions, with production tentatively scheduled to begin by 2040. The shift to hydrogen marks a historic step in South Korea’s commitment to reduce reliance on traditional combustion engines in defence equipment. The K3’s hydrogen fuel cell will eventually replace the diesel engines of the ROK’s K-series tanks, beginning with hybrid prototypes that combine hydrogen and diesel power.

In an online statement, Hyundai Rotem described the K3 as “a next-generation main battle tank that surpasses all capabilities of today’s MBTs (main battle tanks), optimised for evolving battlefield demands.” Key enhancements to the K3 include autonomous driving, AI-based fire control, and a 130-mm smoothbore main gun for increased preemptive strike capabilities. Additionally, the tank will feature improved stealth capabilities, a reduced heat signature, and the deployment of slave drones to enhance reconnaissance and support combat operations.

Fuel cell technology offers multiple advantages, including quieter operation, faster acceleration, superior fuel efficiency, and reduced maintenance due to fewer moving parts. With minimal heat output and sound, the tank achieves heightened stealth, making it less detectable in combat scenarios. Mobility is also improved, allowing the K3 to maneuver through steep and rugged terrains more effectively.

Designed to operate with a streamlined crew of three—a driver, commander, and gunner—the crew will be secured within a reinforced armoured capsule at the front of the tank. This layout ensures enhanced protection and operational efficiency.

The hydrogen-powered K3 demonstrates South Korea’s commitment to integrating sustainable, high-performance technologies into its military arsenal, setting a benchmark for modern warfare with cleaner and more capable military assets.

Adobe Firefly Video Model, the artificial intelligence tool will be released in beta version for AI generated videos

Facebook, TikTok, Twitter, YouTube and Instagram apps are seen on a smartphone in this illustration taken, July 13, 2021.— Reuters

Meta-owned Instagram might be working to add a new AI-backed feature that will allow users to create profile pictures using Meta’s artificial...

Here is something I've been experimenting with recently - show discovery through AI! Try it out and see how it works for you. Don't hesitate to ask it broadly or for a very specific types of shows - even if you need to describe it in multiple paragraphs - you can. For now, this is a Premium members only feature, but good news is Premium is free to try for 30 days (even if you had the trial before) and it's very cheap after - while giving you great features and supporting my efforts here. My testing shows huge potential, but I'm still tinkering with it and figuring out where to link/integrate it on Next Episode. So yeah, give this new feature a spin and let me know how it works for you! Edit: There was a bug that was causing it to load forever for some queries. It's fixed now!

The e684 Helmet has been added to the e3000 Powered Air Purifying Respiratory system.

Optex Co. Ltd. announced that Sloan Security Technologies Inc. integrated Optex sensor/detector products into the GenLux® line of security poles. The platform uses a wrap-around solar laminate to provide reliable off-grid power to sensors and surveillance devices, Optex stated. The sensors/detectors increase the efficiency of the poles by triggering cameras based on detector activity.

Washington — OSHA has issued a proposed rule to update design and construction requirements in its powered industrial trucks standards for general industry and construction.

What are the benefits of powered air purifying systems versus negative pressure systems?

The Electric Guard Dog, Columbia, S.C., is a pioneer in renewable energy for the security industry. The company's founder, Bill Mullis, developed and patented the flagship product that utilizes solar power more than 20 years ago.

The EVAHL Powered Air-Purifying Respirator is NIOSH-approved and certified by CSA International for hazardous locations Class I, Division 2, groups A, B, C and D T6; Class II, Division 2 Groups F and G; and Class III.

The e3000 NIOSH-approved powered air-purifying respirator optimizes welder uptime while minimizing distractions.

The Magnum 3000 NIOSH-approved powered air-purifying respirator system for dust particulates includes a power unit, battery pack, charger, comfort belt and lightweight concept helmet.

The Versaflo Powered Air-Purifying Respirator TR-600 provides durable protection for employees, even in harsh environments.

The Allegro EZ AIR Flex Shield PAPR is a complete particulate system intended for applications requiring combined respiratory, eye and face protection.

Miller NIOSH-certified powered air-purifying respirators not only protect against welding fumes, but also incorporate features that result in a comfortable fit for the weld operator.

Bullard has launched a new Welding Helmet, SparxLift, for use with its EVA Powered Air-Purifying Respirator.

Washington — In an effort to better protect workers in the health care and public safety sectors during the COVID-19 pandemic, NIOSH is approving a new class of powered air-purifying respirators, under an interim final rule published by the Department of Health and Human Services.

United Academy, powered by United Rentals, offers a comprehensive training solution that leverages cutting-edge technology and engaging course content to reduce the overall cost and complexity of safety training, as well as credential tracking for you and your employees. Try our award-winning aerial and forklift training, which includes two serious games and interactive content. Train with the best.

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Using generative AI, video snapshot images are transformed into a searchable database, allowing users to find key operational issues by simply speaking commands.

According to NIOSH, the use of non-powered hand tools in work settings can contribute to musculoskeletal disorders. These injuries can be reduced if users choose the right tool for the job.

The Viking 3350 welding helmet has one of the industry’s largest auto-darkening view sizes, at 3.34 inches tall.

Based in Irvine, Calif., Arcules was spun out from Copenhagen-based Milestone in 2017. 

IDIS Americas, a new IDIS business unit formed from the recent merger of IDIS America and Costar Technologies, has launched IDIS Solution Suite (ISS) VMS.

This Powered Air-Purifying Respirator with a Titanium 9400i Welding Helmet, designed for welding and grinding applications, is more than 1 pound lighter than the leading brand, reducing fatigue and providing all-day comfort.