AI Renaissance & Hyper GENAIism

 Generative AI has created a different landscape and a different way to do something that investors are considering,. They need to look at it differently because what it did was democratize technology significantly. Everyone now has access to similar resources, these incredible resources. If you're using OpenAI APIs, everyone can grab these APIs and grab this amazing stuff. So the barrier from a technology perspective has been lowered significantly but gap between the available talent and required expertise is still wide enough to hamper the real traction in the application of GenAI in the fields like  Oil & Gas, Energy & Utilities, Manufacturing and .Healthcare.

 The huge amount of hype around generative AI since ChatGPT launched 11 months ago has been unlike any piece of technology people have seen in a generation. But despite the massive investment of awareness, time, and budget in GenAI projects, few organizations seem to be meeting their business goals with GenAI. That’s a reason why experts are predicting a modest pullback in 2024. Organizations will follow different trajectories in their experience of generative AI, so it doesn’t necessarily mean an organization needs to fall into the trough. It generally happens when expectations are not managed. If you start out by looking at some targeted use cases, some targeted pieces of implementation, and you have good metrics for success, and also investments in data management and organization; good governance, good policies; if you combine all that with a practical narrative about what the models can do, then you’ve controlled the hype and you’re less likely to fall into the trough.

 The  current AI renaissance will create a general awareness and acceptance of technologies like Pattern Recognition,  ANN, Deep Learning and Big Data based analytics which was earlier limited to scientific and research organizations.  IT companies will learn that present model of talent development and trailing is not enough  to tackle the domains which require deep learning of subjects like mathematics and modeling too apart from the usual IT skills employed in the IT support and maintenance projects.   Very soon by 2025,  dusrt of GenAI  Hype settle and make way for talent discovery to increase in productivity

Ram Setu &Union Pacific Rail

 Sea Bridge connecting India and Sri Lanka. 

Once someone said.

 Ram is fictional, from where did he get his engineering degree to build Ram Setu.

 - DMK leader Late  Karunanidhi

Photo 1

The Union Pacific Rail Line in United States off America passes through the middle of the Great Salt Lake.

 Photo 2  Ram Setu

When railway tracks expanded in America, many rail companies competed to earn money by laying railway tracks and running many trains, but ....

 While connecting the East America to the West America, there was a huge ocean-like lake in the middle, which is the largest lake in America known as The Great Salt Lake.

 The biggest challenge before the engineers was how to fix  alignment of route ,  pillars  and  lay the railway track across this lake.

 There was an engineer in the team of Union Pacific Rail  who had read Ramayana and knew about  #RamSetu....

 He came to India and studied Shri Ram Sethu, then his mind rang and he found out that if we lay a straight railway line across the lake, then this railway track could be broken by the waves...

 He built his railway track exactly on the design of Ram Setu, which is standing there and serving in America for the last 60 years.

 It happens that...

 Where the water is deep and wavy, stability is achieved only by a slow curved / zig-zag design and Ram Setu was composed by the grace of Rishi Munindra, who was the revered Gurudev of Nal Neel.

#spiritualgeology 

#gurugyan #गुरुज्ञान

Spiritual Geology :Varah Avatar and Table mountain

 

Evidence of a major  Isostatic and Tectonic upluftment event in Ancient Hindu scriptures can be seen at many places  around Table mountain national park, South Africa. 

#क्षीरसागर और #वराह
#spiritualgeology
#वराहअवतार #kshirsagar #varaha
#TableMountain #isostacy #isostaticupliftment #geology

For as long as humans have occupied this part of the world – since approximately 15 000 years ago – Table Mountain has been a constant and steady presence. Myths and legends have been told about the place, and even today it is seen as an important spiritual landmark.

There is a story in the Puranas that Hiranyaksha took the earth away in #Kshirsagar.
was hidden, which Lord Vishnu incarnated as #Varaha
Took it out.
See, this topic is as simple as it seems in the story, do not understand it
  Puranas cannot be understood merely by taking out the meaning of the word.  There are many ways to understand this story. Earth ie solid element, water or abyssal substance is fine.  Earth on which humans, birds etc. live.  The water was engrossed i.e. had gone to Hades.  Lord Narayan took the Varaha avatar (who can live in both water and earth elements) and established the earth by taking it out of the abyss.

There was only water everywhere on the earth, where life was not possible, normal life where yagya rituals etc. could be done.  The piece of earth which was brought out by the Varaha Avatar of God, can also be called tectonic plate in today's language, which has now become seven continents in seven parts. The story is not only a story, it is also a sign of scientific implications.  gives.
  This topic is not as simple as it seems in the story. Mythological stories are not only stories, it is a matter of science.  Its explanation is as mysterious as the discovery of the origin of the universe by modern scientists.  Atal, Vital, Sutala, Talatal, Rasatal, Mahatal and Patala.
It has seven floors.
There are 7 lokas above it.  Prithvi Lok (forgetfulness) Hiranyaksha had perverted this sequence and hid the earth in the abyss. Means this sequence was taking distortion.
Now in the legend which is Kshirsagar where Hiranyaksha hid the earth, which Lord Vishnu took out by taking Varaha avatar, #Kshirsagar is not on our earth, it is somewhere in the infinite sky.

Some time ago, space scientists have also claimed to be a place where 140 million more water than Earth is said to exist,

The universe is infinite, it is not a matter for an ordinary human to understand its secret. In this universe, we do not know how many earths are in the sky.
The Puranas are said in metaphorical ornamentation. To understand their real meaning, the vision of Vedas, science, philosophy is also necessary, otherwise this Purana is only a story to you.

Watch this video 

https://youtube.com/watch?v=XQgCioMYl-g&feature=share

Natural Hazards Alerts

 

Natural Hazards Alerts

Natural hazards are associated with changes in ocean, land, atmosphere, and ionosphere. The ground, borehole, and satellite observations provide information at spatial and temporal resolution over the globe. Now optical and microwave satellites are capable in providing meteorological and atmospheric parameters at different pressure levels. With the sponsorship of an NSF Convergence Research grant, this virtual international workshop will brainstorm how to use various data available to scientists to develop or continue development on early warning systems that alert people in local communities, through various social and digital media of natural hazards. Early warning systems have already shown that damage to life and property can be minimized.

https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.agu.org%2FNatural-Hazards-Alerts&data=04%7C01%7Crsingh%40chapman.edu%7C75233defdb884fabd1aa08d9004a7dd1%7C809929af2d2545bf9837089eb9cfbd01%7C1%7C0%7C637541142212416467%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=1d0x7bGGRMKoBSKf%2FKuyxEd4EZ%2BmueDknUS51w5gfyw%3D&reserved=0

Open Source GIS

Alternatives to ArcGIS Desktop 

If you've ever worked with geographic data on the desktop, chances are that you used Esri's ArcGIS application in at least part of your work. ArcGIS is an incredibly powerful tool, but unfortunately, it's a proprietary product that is designed for Windows. Linux and Mac users are out of luck unless they want to run ArcGIS in a virtualized environment, and even then, they're still using a closed source product that can be very expensive to license. While their flagship product is closed source, I would be remiss not to note that Esri has made numerous contributions to the open source community.

Fortunately, GIS users have a few choices for using open source tools to design maps and work with spatial data that can be obtained under free and open source licenses and which run on a variety of different non-Windows operating systems. Let's take a look at some of the options.

GRASS

GRASS  stands for Geographic Resources Analysis Support System). It has a very long history, dating back to original development which began in 1982 under the US government. In the time since, GRASS has been adopted by the academic community, where its development continues today.

I mention this history because it will help you to understand the interface, which launches with a terminal window and asks you a few questions about setting up your project before launching a separate control and display window for working with your data. If the GUI feels like it was later tacked on to a powerful program working under the hood, well, that's probably what actually happened. While the interface may not feel as intuitive to newcomers as some other GIS applications, I like it for two reasons. One, since it really is just a GUI abstraction to the underlying Python commands, advanced users can easily manipulate data and display directly from the Python console, for speed, preciseness, and importantly for academic applications, easy replicability. The second reason I like the interface is that it exposes the wide and powerful array of data manipulation tools directly.

GRASS is definitely the winner when it comes to data analysis and geo-processing, and its tools can be used from external applications, making it an extremely extensible tool which is worth learning even if you don't take it on as your primary desktop GIS system. GRASS is written primarily in C/C++, although many of its modules are written in Python or other languages. 

QGIS

For many people, discovering QGIS is the end of their search for an ArcGIS alternative. It has a clean interface, it's easy to use, and it just works. QGIS supports a wide variety of raster and vector formats, and if you're a Linux user, there's a good chance that it's already packaged for your distribution's default repositories. In addition to Linux, downloads and instructions for macOS, Windows, BSD, and Android can be found on the project's website.

QGIS has great documentation which can be found in its user manual, as well as an active user community which has produced numerous tutorials, guides, and even books to help you succeed. There are also a huge number of plugins that add a ton of functionality not found in the base package, and its Python interface makes it relatively easy for newcomers to create new ones.

You can find the source code to QGIS, which is written primarily in C++, on GitHub under a GPLv2 license.

uDig

While I've been a user of both GRASS and QGIS for several years now, recently I've been trying to expand my horizon a bit and have been trying out uDig, which stands for User-friendly Desktop Internet GIS.

uDig different than the other two tools in that built more as an application framework than a complete solution. It is, in fact, a stand-alone program, and if you download it and fire it up you can begin adding and exploring your data like a more traditional desktop GIS tool.

But its strength comes in its framework design, being built around the same Eclipse IDE that many developers are familiar with already. In this way, uDig makes it easy to develop your own GIS application which meets the specific needs of your users. The project's gallery hosts many examples, from smart grid to forestry to logistics. uDig is jointly licensed under the Eclipse Public License and a BSD license, and you can find its Java-based source code on GitHub.

In addition to these desktop tools, there are numerous tools beyond the desktop that GIS users can take advantage of. There are libraries for developing web-based mapping tools like Leaflet and OpenLayers. On the database site, most major database systems will support basic X/Y coordinates, but PostGIS leads the pack with spatially-enabled open source databases by providing extensions on top of PostgreSQL. Libraries like GDAL/OGR provide base functionality to many other spatially enabled programs and have bindings for many popular programming languages. Projects like GeoServer and MapServer offer server-side spatial data hosting.

Many of these open source projects find commercial support from companies like Boundless. The open source geospatial ecosystem is rich, and perhaps richer, than its closed-source counterpart. Several of the projects above fall under the umbrella of OSGeo, the Open Source Geospatial Foundation, which houses a number of different geographic tools and projects which are worth checking out.

High Resolution Mapping using UAS

UAS platforms are nowadays a valuable source of data for inspection, surveillance, mapping and 3D modeling issues. New applications in the short- and close-range domain are introduced, being the UASs a low-cost alternatives to the classical manned aerial photogrammetry. LIDAR has become the inevitable technology to provide accurate 3D data fast and reliably even in adverse measurement situations and harsh environments. It provides highly accurate point clouds with a significant number of additional valuable attributes per point compared to traditional digital photogrammetry based approach. UAS photogrammetry images generate the high resolution terrain visualisation, topographic data essential to detect precise asset locations, terrain modelling, geomorphological changes, vegetation dynamics and tree height models.

According to the new market research report  LiDAR market is expected to reach USD 1,809.5 Million by 2023 from USD 819.1 Million by 2018, at a CAGR of 17.2% during the forecast period.

The market for Solid-State LiDAR is expected to grow at the highest CAGR during the forecast period. The higher CAGR of the market for solid-state LiDAR during the forecast period is attributed to the increasing range of applications of this type in the automotive and robotics industries. The solid-state LiDAR systems were specially introduced for the automotive industry. These LiDAR systems can also be installed in economy cars due to their low costs.

On the basis of installation, ground-based LiDAR expected to grow with the highest CAGR during forecast period. The ground-based LiDAR systems are used in the applications including small area scanning, corridor mapping, volumetric mapping, and defense area surveying. Mobile ground-based LiDAR is a new and emerging technology used in many applications such as corridor mapping, transportation, hydrology, forestry, and construction. Mobile ground-based LiDAR systems are mounted on a mobile platform, preferably on a terrestrial vehicle. The advantage of being mounted on a vehicle is that it enables the LiDAR to scan large areas accessible by road. The automotive sector is emerging as an application area for the mobile ground-based LiDAR systems, and the number of premium cars equipped with advanced driver assistance systems (ADAS) is rising every year. This is expected to further boost the market for mobile ground-based LiDAR systems.

North America is expected to dominate the LiDAR during the forecast period. This growth can be attributed to the supportive government initiatives and increasing utilization of LiDAR systems by various institutes for various applications, such as corridor mapping, forestry, environmental, and exploration, along with some of the emerging applications including advanced driver assistance systems (ADAS) and urban planning.  The growing awareness regarding the benefits of LiDAR systems, which include easy functionality, better quality, less complexity, and improved features, can also be the driving factors for the growth of the LiDAR market in the US. In addition, major companies such as Trimble, Faro, and Velodyne are based in the US, which is also a key factor leading to the large share of the US in the LiDAR market.Major players operating in this market are Teledyne Optech (Canada), Leica Geosystems (Switzerland), Reigl Laser Measurement Systems (Austria), Trimble (US), Faro Technologies (US), Quantum Spatial (Aerometric) (US), Velodyne LiDAR (US), Beijing Surestar Technology (Isurestar) (China), Geokno (India), Sick AG (Germany). 

Temporal Analysis of Cape Town Drought

Cape Town is running out of water. After three years of intense drought, South Africa’s second-largest city is just a few months away from “Day Zero,” the day when the city government will shut off water taps for most homes and businesses.

The impacts of such a shutdown will be devastating. Citizens will have to wait in long lines at state-managed distribution points to receive a mere 25 liters of water per day, less than half the water needed for one average shower. Experts are already warning of public health concerns like poor sanitation leading to faster spreading of dangerous diseases, especially for the city’s poorest residents, and forecasting that pipes may crack from dry conditions, endangering future water distribution if and when the drought ends. The Western Cape Premier has warned that “normal policing will be entirely inadequate” to manage the chaos that could ensue.   

Although this instance is one of the most extreme, Cape Town is not the only city to suffer from intense water scarcity in recent years. From São Paulo to Los Angeles, cities around the world have made headlines due to severe droughts intensified by climate change and exacerbated by poor water management.

The loss of water can be seen most clearly with Cape Town’s biggest dam, Theewaterskloof. The reservoir now holds only 12 percent of its original capacity.
For more details visit..
https://www.washingtonpost.com/graphics/2018/world/capetown-water-shortage/?utm_term=.757d2010be6f