#AI intelligence mapping

[zomb13s]

Appendix Automatica: De Cognitionis Gradus et Intercommunicatio Inter IQ Coefficientes: (Automatic Appendix: Degrees of Cognition and Intercommunication Among IQ Coefficients)

1. Introduction The Intelligence Quotient (IQ) scale is widely used as a metric to assess cognitive abilities across populations. While IQ is not a comprehensive measure of intelligence, it provides a useful framework for analyzing intergroup communication and understanding. This appendix mathematically segments the full range of measured IQ scores into five distinct groups and models their…

[nando161mando]

The first image that pops up when you google Beethoven is now AI generated...

[nickmedia220]

11/3/25 Week 3

This week so far I've fleshed out my concept a lot more. I'm still doing AI, but rather than a 'guys ai has problems y'all need to get real' angle I might go in an educational angle to help artists use ai more responsibly. Focusing on making sure your ai ONLY uses your input, to avoid the ethical issues with existing publicly available AIs. Issues with this topic are that I'm being hypocritical when it comes to the environmental concerns, but I'll have to do more research about where the emissions are coming from, which is likely the volume of requests for public AIs, which maybe wouldn't apply to mine? As for the media products, I'm leaning towards doing photocomposition, just with using AI alongside the art I make to train it. This is potentially a realistic idea for me, since I have a decently big back catalogue (of varying quality...).

(Mind-map I made today, two general directions were explored plus a few offshoot ideas.)

[mappingtomorrow]

The Metamorphosis of Geospatial Technologies: Mapping the Path to 2030

In the rapidly evolving digital landscape, geospatial technologies stand at the precipice of a profound transformation—one that promises to redefine our relationship with spatial data and revolutionize countless industries. As we navigate through 2025, emergent technological paradigms are already reshaping the foundations of this field, with the trajectory toward 2030 signaling a period of…

[sintropicaconsultoria-blog]

Um de nossos eixos de pesquisa são a elaboração de gifs de series temporais em NDVI ao longo do um ano para analises ambientais, no exemplo acima estuda-se o quanto o deserto de gobi da china avança e recua ao longo de um ano.

[nowadais]

#Google #Maps with AI! From Immersive View to Lens in Maps, explore how #AI is making #travel smarter, more efficient, and #personalized:

https://nowadais.com/google-maps-ai-expect-classic-upgraded-ai/

#artificialintelligence #technology #innovative #tech #news #gemini Video: Google

[femaleboysblog]

we need to talk about the ai fucking up the google maps too. you go check the same route you have done many times before just to see the bus schedule and that little fucker is saying "you're gonna actually have to take three buses, the subway and a plane to get there. it will.take eleven hours" no it will not!!!! imagine if it was a place ive never been before then. we're all screwed!!!!!!

[digitrenndsamr]

LiDAR Market Estimated to Experience a Hike in Growth By 2031

Allied Market Research, titled, “LiDAR Market by Type, Component, Application, End User, and Region: Global Opportunity Analysis and Industry Forecast, 2022–2031," The lidar market was valued at $1.1 billion in 2021, and is estimated to reach $7.8 billion by 2031, growing at a CAGR of 21.3% from 2022 to 2031.

Light detection and ranging (LiDAR) is a remote sensing technology that uses laser light to measure distances and create 3D models of the environment. LiDAR works by emitting a laser pulse towards a target and measuring the time it takes for the pulse to reflect the sensor. This process is repeated many times per second, creating a 3D point cloud of the target area.

Increase in demand for 3D imaging systems and automated systems required in LiDAR as well as a surge in the use of aerial sensing applications act as the key driving forces of the global LiDAR market. However, some of the limitations of the LiDAR system include its higher cost when compared to RADAR systems and its lack of awareness about its potential for mapping objects and structures.

The growth of global LiDAR is majorly driven by the automated processing in LiDAR systems paired with the enhanced performance of LiDAR systems compared to other technologies script. Moreover, the rise in demand for 3D imaging coupled with the surge in the adoption of LiDAR across various industries is expected to drive market growth. However, the lack of awareness about LiDAR across emerging economies is acting as prime restraint of the global market. On the contrary, the expansion of LiDAR applications in new industries and markets is anticipated to provide lucrative opportunities for the LiDAR industry during the forecast period.

According to LiDAR market analysis, the aerial segment was the highest contributor to the market in 2021. Civil engineering and forestry and agriculture collectively accounted for around 53.5% market share in 2021. The surge in prime players' initiatives to develop and deploy next-generation creating high-resolution digital elevation models (DEMs), 3D terrain maps, and vegetation surveys globally has led to the growth of the LiDAR market growth.

In 2021, the pandemic had a mixed impact on the LiDAR market. While it initially caused supply chain disruptions and delayed deployments, an increase in demand for automation and remote sensing technology fueled the market growth. Furthermore, LiDAR technology such as LiDAR scanners, lasers, and others are becoming increasingly important in industries such as transportation, agriculture, and construction due to the shift toward digital transformation and sustainability.

By type, the aerial segment dominated the LiDAR market trends in 2021 and is expected to dominate the market during the forecast period. In the case of components, the laser segment accounted for the major share of the LiDAR market. As per the end-user sector, the civil engineering segment accounted for the major share of global LiDAR industry trends, owing to a surge in demand from emerging markets globally. By application, the market is analyzed across corridor mapping, seismology, exploration & detection, and others. Region-wise, North America holds a significant share of the global LiDAR market, owing to the presence of prime players in this region. The U.S. dominated the LiDAR market in North America LiDAR market.

KEY FINDINGS OF THE STUDY

In 2021, the aerial segment accounted for maximum revenue and is projected to grow at a notable CAGR of 17.7% during the forecast period.

The laser segment was the highest revenue contributor to the LiDAR market size in 2021.

Civil engineering and forestry & agriculture collectively segments collectively accounted for around 53.5% LiDAR market share in 2021.

North America acquired a major share of the LiDAR market with an industry share of 20.5% in 2021.

The rise in investment by prime players and government agencies to develop next-generation aerospace and defense solutions has led to the growth of the LiDAR market. The key players operating in the global LiDAR market include Leica Geosystems AG, RIEGL Laser Measurement Systems GmbH, Mira Solutions, Inc, FARO, Firmatek, LEOSPHERE (Vaisala), Velodyne Lidar, Inc., Aerometrex, Yellowscan, and SICK AG. These players have adopted various strategies such as product launches, collaborations, partnerships, joint ventures, and acquisitions to strengthen their foothold in the market. For instance, in 1 December  2022- FARO Technologies, Inc. announced the acquisition of SiteScape, an innovator in LiDAR 3D scanning software solutions for the AEC and O&M markets. SiteScape enables LiDAR-equipped mobile devices to easily capture indoor spaces digitally, providing a readily available entry point to scanning physical spaces for a broad range of applications. In addition, on 11 October 2022- Velodyne Lidar, Inc. announced a multi-year agreement to provide its lidar sensors to Yamaha Motor for eve autonomy, a joint venture between Yamaha Motor and Tier IV, Inc. Eve autonomy’s autonomous goods transport service eve auto provides logistical support for factories to improve efficiency and safety​​​​​.

[aipiphanies]

We mapped your journey. We modeled it. We ran it forward and backward until we found the path that required fewer stumbles and less caffeine.

[merudata]

A Guide to Dark Patterns

The use of dark patterns have become an increasingly popular practice online. Harry Brignull, who coined the term ‘dark patterns’ defined it as practices that “trick or manipulate users into making choices they would not otherwise have made and that may cause harm.”

The growing popularity of dark patterns has naturally attracted the attention of regulatory bodies. The U.S Federal Trade Commission has even stated that they have been “ramping up enforcement” against companies that employ dark patterns as can be seen with the $520 million imposed on Fortnite creator, Epic Games. In the EU, the fines have been piling up against the violating companies, with TikTok and Facebook facing a €5 million fine and €60 million fine respectively, both imposed by French DPA, the CNIL.

The FTC, in its endeavor to combat the use of dark patterns and protect consumer privacy, even conducted a workshop and released a report on the topic in 2022, titled Bringing Dark Patterns to Light. Samuel Levine, Director of the FTC’s Bureau of Consumer Protection stated, “This report—and our cases—send a clear message that these traps will not be tolerated.” FTC Report Shows Rise in Sophisticated Dark Patterns Designed to Trick and Trap Consumers | Federal Trade Commission

With increasing state privacy regulations in the U.S and given the growing strength of the enforcement around dark patterns, it is important to know the terms that address dark patterns under the existing regulations.

Two significant definitions and regulations of dark patterns within the US come from the California Consumer Privacy Act, CCPA, and the Colorado Privacy Act, CPA. Both these state privacy regulations address dark patterns in a detailed fashion, which can be found below.

Under the CCPA, § 7004. Requirements for Methods for Submitting CCPA Requests and Obtaining Consumer Consent.

Except as expressly allowed by the CCPA and these regulations, businesses shall design and implement methods for submitting CCPA requests and obtaining consumer consent that incorporate the following principles:

“Easy to understand” The language used should be simple and easy to read and comprehend

“Symmetry in choice”. It should be as easy and quick to exercise a more privacy protective option as it is to exercise a less privacy protective option - The process to submit a request to opt-out of sale/sharing of personal information should not require more time than the process to opt-in to the sale of PI after having previously opted out. - “Yes” and “Ask me later” as the ONLY two options to decline the option to opt-in to the sale is not appropriate. “Ask me later” does not imply that the consumer has denied the decision but delayed it. Businesses will continue asking the consumer to opt-in. “Yes” and “No” are the options that should be provided. - “Accept All” and “Preferences” or “Accept All and “More information” as choices to provide consent to the use of consumers personal information is not appropriate as the choice can be accepted in one step but additional steps are required to exercise their rights. “Accept all” and “Decline all” should be used.

Confusing language should be avoided. Consumers choices should be clearly provided. Double negatives should not be used - Confusing options such as the choice of “Yes” or “No” next to the statement “Do Not Sell or Share My Personal Information” is a double negative and should be avoided. - “On” or “off” toggles or buttons may require further clarification - If at first, the options are presented in the order “Yes” and then “No”, it should not be changed then to the opposite order of “No” and then “Yes” as is this unintuitive and confusing.

The design and architecture should not impair the consumers ability to make choices. Consent should be “freely given, specific, informed and unambiguous” - Consumers should not be made to click through disruptive screens before submitting an opt-out request. - The option to consent to using PI for purposes that meet the requirements should not be combined with the option to consent to using PI for purposes that are “incompatible with the context” For example, a business that uses location data for its services such as a mobile app that delivers food to users’ locations should not ask for consent to “incompatible uses” (sale of geolocation data to third parties) along with the “reasonably necessary and proportionate use of geolocation date” that is needed for the apps services. This requires consent to “incompatible uses” to use the apps’ expected services

“Easy to execute”. The process to submit a CCPA request should be straight forward, simple and functional. Consumer’s choice to submit a request should not be undermined - Consumer should not have to search extensively for a privacy policy or webpage for the option to submit an opt-out request after clicking the “Do Not Sell or Share My Personal Information” link. - Businesses that know of faults such as broken links, non-functional email addresses, inboxes that are not monitored, should fix them at the earliest - Consumers should not have to unnecessarily wait on a webpage while the request is being processed.

Using dark patterns (practices stated above) to obtain consent is not considered as consent. Obtaining consent using dark patterns can be considered has having never obtained consumer consent.

Should the user interface unintentionally impair the user’s choice and with this knowledge, the business does not remedy the issue, it could be considered a dark pattern. “Deliberate ignorance” if the faulty, impairing designs may be considered a dark pattern.

Under the CPA, Rule 7.09 USER INTERFACE DESIGN, CHOICE ARCHITECTURE, AND DARK PATTERNS

There should be symmetry in presentation of choices. No one option should be given more focus over others - All options should use the same font, size, and style. “I accept” being in a larger size or in a brighter more attention-grabbing colour over the “I do not accept” is not considered symmetrical. - All choices should be equally easy to accept or reject. The option to “accept all” to consent the use of Sensitive data should be presented without the option to “reject all”

Manipulative language and/or visuals that coerce or steer consumers choices should be avoided - Consumers should not be guilted or shamed into any choice. “I accept. I care about the planet” vs “I reject, I don’t care about the planet” can be considered - “Gratuitous information to emotionally manipulate consumers” should be avoided. Stating that the mobile application “Promotes animal welfare” when asking for consent to collect sensitive data for Targeted Advertising can be considered “deceptively emotionally manipulative” if the reason for collection is not actually critical to promoting animal welfare.

Silence or ‘failure to take an affirmative action’ is not equal to Consent or acceptance - Closing a Consent request pop-up window without first affirmatively making a choice cannot be interpreted as consent. - Going through the webpage without affirmatively providing consent cannot on the banner provided cannot be interpreted as consent. - Using a Smart device without verbal consent; “I accept”, “I consent” cannot be considered affirmative consent.

Avoid preselected or default options - Checkboxes or radial buttons cannot be preselected

It should be as easy and quick to exercise a more privacy protective option as it is to exercise a less privacy protective option. There should be equal number of steps all options - All choices should be presented at the same time. “I accept” and “Learn more” as the two choices presents a greater number of steps for the latter and is an unnecessary restriction. - However, preceding both the “I accept” and “I do not accept” buttons with the “select preferences” button would not be considered an unnecessary restriction.

Consent requests should not unnecessarily interrupt a consumer’s activity on the website, application, product - Repeated consent requests should not appear after the consumer declined consent - Unless consent to process data is strictly necessary, consumers should not be redirected away from their activity if they declined consent - Multiple inconvenient consent request pop-ups should be avoided if they declined consent initially.

“Misleading statements, omissions, affirmative misstatements, or intentionally confusing language to obtain Consent” should be avoided - A false sense of urgency, such as a ticking clock on the consent request should be avoided. - Double negatives should be avoided on the consent request - Confusing language should be avoided such as “Please do not check this box if you wish to Consent to this data use” - Illogical choices like the options of “Yes” or “No” to the question “Do you wish to provide or decline Consent for the described purposes” should be avoided.

Target audience factors and characteristics should be considered - Simplicity of language should be considered for websites or services whose target audience is under the age of 18 - Big size, spacing, and readability should be considered for websites or services whose target audience is elderly people.

User interface design and Consent choice architecture should be similar when accessed through digital accessibility tools - The same number of steps to exercise consent should be provided on the website whether it is accessed using a digital accessibility tool or without.

Going a step further, The Virginia Consumer Data Protection Act, VCDPA, does not specifically address dark patterns. However, the Virginia Attorney General’s office could, in theory, use the regulation’s definition of consent to challenge the use of dark patterns.

The Connecticut Data Privacy Act, CTDPA, defines a Dark Pattern as “a user interface designed or manipulated with the substantial effect of subverting or impairing user autonomy, decision-making or choice”. Any practice the Federal Trade Commission (FTC) deems a "dark pattern" is also included in this definition. It is important to note that Consent obtained through the use of a Dark Pattern is not deemed valid under the CTDPA.

These are some examples of US state regulations around dark patterns. Be sure to review all state privacy laws that affect your business.

For more insights and updates on privacy and data governance, visit Meru Data | Data Privacy & Information Governance Solutions

[kevinpshanblog]

From Lecture Synopsis to Interactive Mind Map with AI

Recently, I shared an AI-generated synopsis of a fascinating magic lecture I attended at the Society of American Magicians (read more). One of the key brainstorming techniques discussed during the lecture was mind mapping—a method I've valued for years to effectively capture meeting notes and organize project requirements.

Curious to see if my AI recording device could simplify creating a mind map from the lecture notes, I experimented by converting the AI-generated synopsis into Markdown format. From there, I easily transformed this Markdown outline into an interactive mind map using a handy free tool called Markmap.

For a detailed step-by-step guide on how I accomplished this, check out my full post here.

[jcmarchi]

"Machines Can See 2025" wraps in Dubai after two‑day showcase of AI

New Post has been published on https://thedigitalinsider.com/machines-can-see-2025-wraps-in-dubai-after-two%e2%80%91day-showcase-of-ai/

"Machines Can See 2025" wraps in Dubai after two‑day showcase of AI

The third edition of Machines Can See (MCS) Summit has concluded at Dubai’s Museum of the Future. More than 300 start‑ups pitched to investors from EQT Ventures, Balderton, Lakestar, e& capital and Mubadala, and more than 3,500 delegates from 45 countries attended the summit, while online engagement levels were high (4.7 million views). Real-time updates with the #MCS2025 hashtag are projected to exceed 5 million views.

The summit was hosted by UAE-based Polynome Group under the patronage of H.H. Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum. Strategic backers included Digital Dubai, Dubai Police, Emirates, Amazon Web Services, NVIDIA, IBM, SAP, MBZUAI among others.

“In just three years, MCS has evolved from a specialist meet‑up into a true crossroads for the world’s top minds in science, business and public policy. The week proved that when researchers, entrepreneurs and governments share one stage, we move a step closer to transparent, human‑centred AI that delivers real value for society,” said Alexander Khanin, founder & CEO of Polynome Group

Landmark agreements announced live on stage

During the two‑day programme, several high‑profile agreements were signed at the summit, including:

A trilateral Memorandum of Understanding between Astana Hub (Kazakhstan), IT‑Park Uzbekistan and Al‑Farabi Innovation Hub (UAE), creating a Central‑Asia‑to‑MENA soft‑landing platform for high‑growth start‑ups.

A Google Cloud initiative offering no‑cost “Gen‑AI Leader” learning paths and discounted certification vouchers to accelerate responsible AI adoption across the region.

Polynome Group officially launched AI Academy, an educational initiative developed in collaboration with the Abu Dhabi School of Management and supported by NVIDIA’s Deep Learning Institute. The Academy will offer short executive seminars and a specialised four‑month Mini‑MBA in AI, aimed at equipping leaders and innovators with practical AI knowledge to bridge the gap between technology research and commercial application.

Policy & talent

Day one opened with a ministerial round‑table – “Wanted: AI to Retain and Attract Talent to the Country.” Ministers Omar Sultan Al Olama (UAE), Amr Talaat (Egypt), Gobind Singh Deo (Malaysia), Zhaslan Madiyev (Kazakhstan) and Meutya Hafid (Indonesia) detailed visa‑fast‑track programmes, national GPU clouds and cross‑border sandboxes designed to reverse brain‑drain and accelerate R&D.

Breakthrough research

Prof. Michael Bronstein (University of Oxford/Google DeepMind) demonstrated Geometric Deep Learning applications that shorten drug‑discovery timelines and model subatomic physics.

Marco Tempest (NASA JPL/MagicLab.nyc) blended GPT‑4o dialogue with mixed‑reality holograms, turning the stage into an interactive mind‑map.

Prof. Michal Irani (Weizmann Institute) showed perception‑to‑cognition systems capable of reconstructing scenes from a single gaze sequence.

Andrea Vedaldi (Oxford) premiered a 3‑D generative‑AI pipeline for instant city‑scale digital twins, while Marc Pollefeys (ETH Zurich/Microsoft) demonstrated real‑time spatial mapping at sub‑10 ms latency.

Industry workshops & panels

AWS ran a hands‑on clinic – “Building Enterprise Gen‑AI Applications” – covering RAG, agentic orchestration and secure deployment. NVIDIA’s workshop unveiled its platform approach to production generative‑AI on Hopper‑class GPUs, complementing its newly announced Service Delivery Partnership with Polynome Group’s legal entity, Intelligent Machines Consultancies. Dubai Police hosted a closed‑door DFA session on predictive policing, while X and AI workshops explored social‑data pipelines on GPU clusters.

The parallel Machines Can Create forum examined AI’s role in luxury, digital art and media, with speakers from HEC Paris, The Sandbox, IBM Research and BBC, culminating in the panel “Pixels and Palettes: The Canvas of Tomorrow.”

Prof. Marc Pollefeys, Director of the Mixed Reality and AI Lab at ETH Zurich and Microsoft, highlighted the role of cutting-edge technology in daily life: “We are at a turning point where technologies like spatial AI and real-time 3D mapping are moving from laboratories into everyday life, transforming cities, workplaces, and how we interact with the digital world. The Machines Can See Summit underscores how collaboration between researchers, industry, and policymakers accelerates this transition, bringing innovative solutions closer to everyone,” he said.

Ethical & security focus

Panels “Good AI: Between Hype and Mediocrity” and “Defending Intelligence: Navigating Adversarial Machine Learning” stressed the need for continuous audits, red‑teaming and transparent supply chains. Dubai Police, TII UAE and IBM urged adoption of ISO‑aligned governance tool‑kits to safeguard public‑sector deployments.

High‑profile awards

On Day Two, H.H. Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum presented trophies for the Global Prompt Engineering Championship, for breakthroughs in multilingual, safety-aligned LLM prompting.

Key takeaways

The summit underscored three strategic imperatives for the decade ahead. Talent aviation – backed by unified tech visas, national GPU clouds and government‑funded sandbox clusters – is emerging as the most effective antidote to AI brain‑drain. Spatial computing is moving from laboratory to street level as sub‑10‑millisecond mapping unlocks safe humanoid robotics and city‑scale augmented‑reality services. Finally, secure generative AI must couple adversarial robustness with transparent, explainable pipelines before the technology can achieve mass‑market adoption in regulated industries.

[nando161mando]

If you want to disable ads and AI summaries in Google, append -fuck to your search

[mappingtomorrow]

Choosing the right GIS software in 2025: ArcGIS Pro vs QGIS 3 Analyzed I have just published a comprehensive comparison of the two leading GIS platforms as they stand in 2025. The age-old battle between proprietary and open-source solutions continues, but with fascinating new developments! Both platforms have evolved dramatically since 2020, with QGIS closing many historical capability gaps while ArcGIS Pro has leaned into enterprise integration and AI. Is your organization making the right choice? Well, the answer depends on your specific needs, budget constraints, and strategic priorities. Check out my full analysis to help navigate this critical decision for your mapping needs! Please do have a look at the post, leave a like and comment your thoughts and your experiences working with these softwares. Also do let me know which software do you think is worth investing for? Since it is the AI revolution, which software can perform tasks with utmost simplicity and efficiently, ArcGIS Pro or QGIS 3? Let's get the conversation and engagement going. Do comment, like, share and subscribe to my blog. Your engagement would mean a lot to me. Let's map the world for a sustainable future with Mapping Tomorrow. 🗺️ Subscribe to my blog website: https://mappingtomorrow.wordpress.com and get started with Mapping Tomorrow. Your one step can change your future. SUBSCRIBE NOW and be updated ahead of everyone. #ArcGISPro #QGIS3 #GISSoftware #GISComparison #GeospatialSoftware #GISTechnology #SpatialData #GISMapping #GeographicInformationSystems #OpenSourceGIS #ProprietaryGIS #GISPlatforms #MapChat #GISCommunity #SpatialAnalysis #GIScience #GeoTech #GISProfessional #GISCareer #GISJobs #GISSkills #GISEducation #GISCertification #EsriUser #QGISCommunity #OpenSourceCommunity #EsriUC #FOSS4G #UrbanPlanning #EnvironmentalGIS #BusinessIntelligence #LocationIntelligence #DataVisualization #TechComparison #SoftwareReview #2025Tech #OpenSource #TechDecisions #SoftwareEvaluation #MappingTomorrow #ProfessionalDevelopment #TechTrends #IndustryInsights #GISTwitter #MapTwitter #TechTwitter #GISLife #MappingCommunity #TechTools #GISResources #GeospatialTechnology #MappingTools

[sintropicaconsultoria-blog]

Ambrosia Consultoria é uma empresa focada em soluções ambientais e agrícolas, fundada pelo estudante Renan, a nossa missão é trabalhar para um futuro mais sustentável vendendo um produto simples e bem feito. Vendemos soluções ambientais para empresas, modelos agrícolas de produção, consultoria, mapas, sites, índices e gráficos, além de auxiliar a pesquisa cientifica.