Friday, June 2, 2023

PUBLICLY TRADED AI COMPANIES TO WATCH

 

Publicly traded AI companies may be on the rise, thanks to rapid advancements in artificial intelligence.

PUBLICLY TRADED AI COMPANIES TO WATCH
Micron Technology (MU)
IBM (IBM)
Google (GOOG)
John Deere (DE)
Salesforce (CRM)
Splunk (SPLK)

While public AI companies must distribute resources among many investors, they also get to lean on this larger investor pool. Trading public stocks makes it easier to raise funds for business growth and new projects. This agility is essential for fast-paced fields like AI-generated art and content, which have rapidly evolved with the releases of Lensa, ChatGPT and GPT-4.  

At the same time, public companies are subjected to more regulations than their private counterparts and must share financial information with the Securities and Exchange Commission (SEC). This practice creates more transparency, so investors can make informed decisions on where to place their resources. 

Because the AI industry is expected to grow and could add $15.7 trillion to the global GDP by 2030, increasing regulation is a trend to watch in the coming years. However, this shouldn’t slow down the spread of AI. Since the days of factory robotics and customer service chatbots, AI technology has moved into diverse areas like music, education and banking. 

Here are 12 publicly traded AI companies welcoming public investors to share in the rewards of some of the latest AI-based innovations and help fund the future of AI.

Publicly Traded AI Companies to Know
John Deere Logo
John Deere
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John Deere isn’t usually viewed as a traditional tech company, but the agriculture giant uses AI to automate its farming equipment. The company’s AI enables tractors to autonomously navigate fields and helps with the overall farming process. John Deere acquired agricultural artificial intelligence company Blue River Technology in 2017 to boost its AI program. The first product from this partnership is a system that uses machine learning algorithms to determine where a tractor should spray pesticides.

Founded: 1911

Location: Armonk, New York 

Stock Symbol: IBM

IBM has streamlined a range of industries with its AI assistant IBM Watson, which displays AI and machine learning capabilities. Customer service teams benefit from Watson’s ability to automate repetitive tasks, translate speech to text, compile and organize data and integrate with various CRM platforms. IT operations, advertising and other fields have also adopted IBM’s AI technology to create more effective workflows.

Founded: 2014

Location: Fully Remote

Stock Symbol: VERI

Veritone is an operating system for AI that manages content and suggests actions based on what it learns. The company’s aiWARE enables AI developers in the media and legal industries as well as government to organize, manage, search and analyze metadata and content. The artificial intelligence operating system scans audio recordings of quality control calls and media content to identify any problems in customer complaints or if a specific product placement resonates with audiences.

Founded: 2003

Location: San Francisco, California

Stock Symbol: SPLK

Splunk uses machine learning and AI for operational intelligence in security, IT and business. The company’s artificial intelligence data platform uses machine learning to cluster important data into logical groupings, detect anomalies and make predictions. Splunk partnered with Hyatt Hotels to help centralize the chain’s data. Hyatt used Splunk’s AI and machine learning to identify issues with its check-in system and make predictions about future business plans.

Founded: 1993

Location: Santa Clara, California

Stock Symbol: NVDA

NVIDIA is a manufacturer of graphics-processor technologies with a growing deep learning AI division. The company uses its line of AI platforms to power self-driving cars, help drones act autonomously and perform as an image processing tool for medical imaging equipment. NVIDIA’s deep learning GPUs have been featured in Tesla’s autonomous vehicles, and the NVIDIA DRIVE Map tool equips these vehicles with high-quality camera and radar technology.

Founded: 1978 

Location: Boise, Idaho 

Stock Symbol: MU

Micron Technology has enhanced its chip packages with AI, machine learning and deep learning. Because of its focus on AI and analytics, the company has produced hardware that showcases increased storage capacity, faster memory and high-quality data filtering. As a result, teams can conduct analyses and gather rich insights while reducing the time and energy needed to complete these processes.

Founded: 1986

Location: Mountain View, California

Stock Symbol: SNPS

Synopsys has a line of AI products for silicon-based microchips and software. The company’s Fusion Technology provides several key AI-focused technologies, including logic restructuring and MAC topology optimization. In addition, the Synopsys DesignWare IP for Artificial Intelligence is a processor for developing AI tools across many industries, and Synopsys has assisted in developing AI solutions for the specialized processing of medical imaging as well as natural language processing.

Founded: 1988

Location: San Jose, California

Stock Symbol: QUIK

An originator in creating semiconductors for mobile and portable electronics, QuickLogic uses AI for cognitive sensing in different technologies, like IoT devices and drones. The QuickLogic QuickAI platform helps IoT devices gain knowledge of surroundings, assists inspection machines with identifying different textures and aids surfaces and appliances in predicting maintenance needs.

Founded: 2013

Location: Laguna Hills, California

Stock Symbol: BRN

BrainChip is a provider of software and hardware for AI and machine learning applications. The company is considered a leader in neuromorphic computing, a branch of AI that simulates the functionality of the human neuron. With its processor IP Akida, BrainChip has developed software that mimics the networks of the human brain for increased efficiency while reducing the amount of energy required to support such a system.

Founded: 1997

Location: Los Gatos, California

Stock Symbol: NFLX

You can thank Netflix’s AI for your next binge-watching session. The company uses artificial intelligence and deep learning to learn your personal likes and dislikes to recommend the ideal library of content. From genres to specific movies, Netflix constantly deploys AI to personalize the user experience for its subscribers. In addition, the company leverages machine learning for optimizing videos and audio and refines its strategies with A/B testing.

https://builtin.com/artificial-intelligence/publicly-traded-ai-companies

AI Switzerland

 57 AI Startups in Switzerland to Watch in 2023
Switzerland's AI sector is booming. This year’s list of the best 57 Switzerland AI startups is an eclectic mix of hyper-growth scaleups, small creative startups and everything in between.


AI Switzerland

 TOP 30 ARTIFICIAL INTELLIGENCE (AI) COMPANIES IN SWITZERLAND
JUNE 2023

Superba AR - Augmented Reality & AI is a application development company founded in 2017. Their small team is based in Los Angeles, California and Stettlen, Switzerland. Their services include mobile app development, AR/VR development, Artificial Intelligence, and blockchain.

Requestum is a Ukrainian development company located in Kharkiv. Founded in 2015, the 95-person team provides services related to custom software development, mobile app development, and artificial intelligence.

Azilen Technologies is a product engineering company based in West Bloomfield, Mich., with Indian offices in Ahmedabad and Mumbai. Founded in 2009, the team of over 100 employees specializes in AI, IoT development and enterprise app modernization. They work primarily with small business and midmarket clients, mainly in the IT industry.

My NEO Group is a small. Founded in 2020, the firm is based in Milano, Italy; Carouge, Switzerland; Tokyo, Japan and Barangaroo, Australia. Their team focuses on.

Trident Software, a custom software development firm, was launched in 2009. Their midsize team is in. The agency provides custom software development, web development, mobile app development, e-commerce development, and more.

NOTABLE PROJECT

Trident Software has developed an e-commerce trading platform for a fishing gear manufacturing company. They have built custom reporting and data extraction systems and an integrated internal accounting system.

"I really like their attention to detail, informal communications, and a strong focus on customer’s expectations."



6. Voice-Activated Search 
More and more people are using voice-activated search. The trend has been increasing whether they're driving their car, have their hands full, or simply prefer voice search. 

This impacts many companies that have invested in digital marketing and search engine optimization. To adjust to this trend, companies need to rethink their SEO strategies. 

Additional reading, 'The Impact of Voice Search Optimization on SEO.


Japan AI no restrictions

 Japan: AI Systems Can Use Any Data, from Any Source – Even Illegal Ones

While other countries are mulling where to put the brakes on AI development, Japan is going full steam ahead, with the government recently announcing that no data will be off-limits for AI.
In a recent meeting, Keiko Nagaoka, Japanese Minister of Education, Culture, Sports, Science, and Technology, confirmed that no law, including copyright law, will prevent AIs from accessing data in the country.
AIs will be allowed to use data for training, “regardless of whether it is for non-profit or commercial purposes, whether it is an act other than reproduction, or whether it is content obtained from illegal sites or otherwise,” said Nagaoka.
The decision is a blow to copyright holders who argue that AI using their intellectual property to produce new content undermines the very concept of copyright. 
The Biden Administration’s leftist regulators at the FTC, meanwhile, worry that “historically biased” data (such as crime data with racial imbalances) will lead to outcomes that conflict with “civil rights.” Many leftist agitators in the west want to cut off AIs from such data.

There will be no such restrictions in Japan, if the government sticks to the policy laid out by Nagaoka.



Japan: AI Systems Can Use Any Data, from Any Source – Even Illegal Ones

While other countries are mulling where to put the brakes on AI development, Japan is going full steam ahead, with the government recently announcing that no data will be off-limits for AI.
In a recent meeting, Keiko Nagaoka, Japanese Minister of Education, Culture, Sports, Science, and Technology, confirmed that no law, including copyright law, will prevent AIs from accessing data in the country.
AIs will be allowed to use data for training, “regardless of whether it is for non-profit or commercial purposes, whether it is an act other than reproduction, or whether it is content obtained from illegal sites or otherwise,” said Nagaoka.
The decision is a blow to copyright holders who argue that AI using their intellectual property to produce new content undermines the very concept of copyright. 
The Biden Administration’s leftist regulators at the FTC, meanwhile, worry that “historically biased” data (such as crime data with racial imbalances) will lead to outcomes that conflict with “civil rights.” Many leftist agitators in the west want to cut off AIs from such data.
There will be no such restrictions in Japan, if the government sticks to the policy laid out by Nagaoka.
https://www.breitbart.com/economy/2023/06/01/japan-ai-systems-can-use-any-data-from-any-source-even-illegal-ones/

.On the tech front, Japan is considered the leader in the field of robotics, but perhaps a lesser known fact is that they were the second nation after Canada to adopt a national AI strategy, something they released in March of 2017. The strategy focuses primarily on AI applications for productivity, health, and mobility. We scoured Crunchbase to find the most funded AI startups in the Japanese ecosystem as of today.

Preferred Networks 
Founded in 2014, Tokyo startup Preferred Networks has raised $130 million from the likes of Toyota, Hitachi, and Fanuc to apply machine learning to Internet of Things (IoT) use cases. Their latest funding round put a $2 billion price tag on the four-year-old startup making it Japan’s only unicorn according to the experts over at CB Insights. The startup’s only public products are an automated manga coloring tool and some opensource developer materials for neural network frameworks. The company’s core activities center around autonomous vehicles, machine learning for robots and machine tools, and medical diagnostics.
Preferred Networks is relatively tight-lipped about what they’re up to, and that’s no surprise given that they’ve become an outsourced AI research lab for some major-league partners like Toyota, Fanuc, and the National Cancer Center of Japan. Preferred Networks also launched one of the most powerful private sector supercomputers in Japan last year in partnership with NTT Communications Corp. As Bloomberg rightfully puts it, “what sets Preferred Networks apart from the hundreds of other AI startups is its ties to Japan’s manufacturing might.”

Abeja
Founded in 2012, Tokyo startup Abeja has raised $45.4 million from a list of investors that include Google and Nvidia to develop big data analytics based on IoT sensor data. The company has built an analytics platform that can be integrated into virtually any business with enough data to be crunched for producing valuable insights. Abeja is also offering specific products optimized for use in retail, manufacturing, and infrastructure on the back of their core platform.
The structure and data flow of Abeja’s AI platform – Credit: Abeja
The retail solution analyzes in-store customer behavior to optimize business and inventory management. The manufacturing module improves production efficiency by automating product inspection and predicting machinery failures. The infrastructure offering prevents breakdowns by detecting possible malfunctions and scheduling maintenance, something we talked about recently. Abeja is now planning to expand to foreign markets like China and Thailand with localized versions of its analytics service.


Ascent Robotics

Founded in 2016, Tokyo startup Ascent Robotics has raised $17.9 million to develop software for autonomous cars and industrial robots. Ascent’s approach is built on their AI learning architecture called Atlas. The company says it is the “skeleton” on which AI training simulations work and is equipped with models generating real-life environments, situations, and feedback in a virtual setting, basically teaching AI algorithms how to behave. With the mix of real and simulated data, the AI’s learning efficiency is reported to be 50 times higher compared to when only real-life data is being used. Ascent wants to create a fully autonomous (level 4) vehicle software by late 2020, after which the company is reportedly planning an IPO. The startup has Ken Kutaragi, former Sony Computer Entertainment CEO and creator of the PlayStation on its board, and is planning a new investment round of $30-50 million in the coming months.

Cinnamon
Founded in 2012, Tokyo startup Cinnamon has taken in a total of $17 million with their latest round of $6 million closing just days ago. Covered earlier in our article on “7 Startups Using AI for Robotic Process Automation,” Cinnamon offers a smart scanner algorithm with Optical Character Recognition (OCR) that can read and understand text and handwriting. The Flax Scanner can process virtually any type of document in a matter of seconds with an accuracy of 99.2%, saving up administrative and support staff for more value-added activities. The company has offices in Japan and Vietnam, and is going to use its latest funding round to expand into the U.S.

LeapMind
Founded in 2012, Tokyo startup LeapMind has raised $13.5 million in funding from the likes of Intel to develop embedded deep learning solutions on edge devices. Edge computing means that computations are performed on distributed devices like smartphones or sensors, and not in a centralized cloud environment. This removes the need for cloud connectivity, provides optimized performance, and allows for quicker communication with local communications hubs called nodes.
LeapMind’s Delta suite of products provides the hardware, the data labeling, and training framework, and the deep learning model builder to create and deploy deep learning models on edge devices without background knowledge in programming.
The company claims their model builder reduces the three-month process of model design, training, compression, and conversion to just one day. Use cases include automated inspections on food production lines, identifying construction anomalies using drone or fixed-point camera images, and analyzing market trends based on online image analytics.

Cogent Labs
Founded in 2015, Tokyo startup Cogent Labs has raised $12.9 million to develop AI solutions for natural language understanding, character recognition, and time series forecasting. The company’s Tegaki Optical Character Recognition (OCR) app targets the most common job being replaced by AI – the file clerk – and has a handwriting recognition rate of 99.22%, similar to Cinnamon above. It is only available for Japanese language, and Cogent has signed up mammoth conglomerate Softbank as one of its clients.
Features of Cogent’s natural language understanding algorithms – Credit: Cogent Labs
The Kaidoku natural language understanding engine uncovers insights from text-based data like news, social media streams, and documents. It provides overview, filter, and search functions, as well as visualizations across time. The company’s time-series forecasting algorithms analyze large amounts of historical data to come up with long- and short-term forecasts in situations where traditional statistical models usually fail. This is useful for applications such as securities trading, and the startup’s client list includes one of the country’s biggest investment banks, Nomura.

Moneytree
Click for company websiteFounded in 2012, Tokyo startup Moneytree has raised $10.5 million to develop a financial data aggregation platform for individual consumers and corporates. Users can register bank accounts, credit cards, and other accounts like securities holding accounts or loyalty cards, and Moneytree pulls their transactions and assets into its platform automatically. Data is saved for the lifetime of the membership, providing valuable historical information as well as current analytics.
How Moneytree’s MT Link for service providers works – Credit: Moneytree
The company also offers an automated corporate expense registration and reimbursement service working along the same principles, and an integration service for financial companies called MT Link. The platform currently covers 2,600 service providers across the country.

Mujin
Founded in 2011, Tokyo startup Mujin has raised $7 million in funding to develop AI-based motion control software for industrial robots. While robots are traditionally programmed to perform certain tasks or movements, Mujin’s controllers allow robots to “think” through their movements without any pre-programming, adjusting to reality as they go along, much like most humans do.

The company doesn’t build robots but provides the controllers which are compatible with most of the robots being manufactured today. Mujin’s solutions are mainly used in logistics, warehousing, and factory automation for picking, packing, and sorting tasks. The startup has developed the world’s first warehouse without any human staff in partnership with JD.com, the Chinese e-commerce powerhouse. Seems like it’s only a matter of time before some of the biggest warehousing robot manufacturers will look to implement Mujin’s advanced motion control technology into their machines.

Alpaca
This next startup we’ve come across before twice; first in our article on 6 Startups Using AI for Algorithmic Trading Strategies and second in our article on Free Algo Trading for Tech-Savvy Traders. Founded in 2016, Tokyo Startup Alpaca has raised $5.8 million to develop predictive models for financial markets and offer the world’s first free algo trading platform. The startup’s AlpacaForecast AI Prediction Matrix uses AI to calculate short-term price forecasts for certain currency pairs, equities, and fixed income instruments. The matrix comes in the form of a dashboard and plugs into everyone’s favorite financial data provider, Bloomberg. The broader AlpacaForecast framework is built with ultra-high speed data storage technology, designed by Alpaca from scratch, and optimized for financial time series. The company is working with regional and local banks like Jibun Bank and MUFG Bank, the largest bank in Japan.
Update 10/16/2020: Alpaca has raised $10 million in Series A funding to continue building out their platform. This brings the company’s total funding to $21.8 million to date. 

 MJI
 Founded in 2015, Tokyo startup MJI (which stands for More Joyful Innovation) has raised $5 million to develop a virtual assistant called Tapia. The tool looks like a kawaii version of Google’s virtual assistant or Amazon’s Alexa and offers all the necessary functionalities you’d expect. It has voice and facial recognition capabilities, and is able to make calls, organize your schedule, read news, and play music. It also acts as a safety monitoring device you can use to check on your loved ones requiring assistance.
The startup has released a development toolkit for companies wanting to expand Tapia’s original functionality as well. MJI has also developed a home medical assistant called “anco,” based on Tapia’s hardware, and in collaboration with the NTT group. “anco” can gather and share information from vital signs reading equipment like thermometers and blood pressure monitors, diagnose patients based on real conversation, and provide remote support from nurses. Sounds like maybe they should partner with another firm we looked at called Qolty which is using big data to improve medical studies.

Conclusion
Many of these startups are developing generic AI technologies applicable to many use cases across many industries. This ties in well with the national AI strategy that envisions a whole ecosystem of AI algorithms speaking to each other by 2030 – something you’d expect from a collective society.
If we happened to “miss” your Japanese AI startup because you were too busy playing pachinko to update Crunchbase, we know you won’t say anything because you are far too polite to complain. Just drop us a note instead and the next time we’re in Tokyo – the town where all the cool startups seem to hang out – we’ll take you to Omoide Yokocho and you can tell us all about what you’re getting up to.
Despite what the pundits say, FAANG stocks (Facebook, Apple, Amazon, Netflix, Google) don't give you real exposure to AI. Read about 7 stocks that give you true pure-play exposure to AI in our guide to investing in AI healthcare companies, freely available to Nanalyze Premium subscribers.





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With generative artificial intelligence rapidly gaining traction around the world, Japanese firms ranging from SoftBank to Hitachi are developing or incorporating the technology into their businesses. At the same time, the government is working toward crafting a national AI strategy.

Following the public debut of Microsoft-backed OpenAI’s ChatGPT last November, global tech giants such as California-based Google and China’s Baidu have rolled out their own AI-powered chatbots, but Japanese firms have been conspicuous in their absence.

Still, the nation’s companies are beginning to make their presence felt, with SoftBank’s mobile unit declaring earlier this month that it will develop a Japanese equivalent of ChatGPT.

Line, which is Japan’s most popular messaging app provider and is co-owned by SoftBank and South Korea-based Naver, has been developing AI, with the parent company intending to invest more in this technology, SoftBank CEO Junichi Miyakawa said during a news conference last week.

“The SoftBank and Line alliance has been discussing what we need to do to catch up with OpenAI,” he said.







Possible disaster in NYC on summer solstice 2023

 I always thought that them putting in a new area code for Manhattan Island was a code for the future tidal wave.

Prince William turns 41 on the summer solstice.
The Pentagon was hit on it's 41st birthday 9/11/2001.
"Skull and bones" = 41 (reduction)

From and including: Tuesday, September 11, 2001
To, but not including Wednesday, June 21, 2023
Result: 7953 days
"William" = 34 (Reduction)
7953/34 233.911

Manhattan gets a new 332 area code -- 332 mirror of 233
In a text to customers, Verizon (VZ) said the new area code will be available on June 10 2017. The company confirmed the June availability to CNNTech.

From and including: Saturday, June 10, 2017
To, but not including Wednesday, June 21, 2023
Result: 2202 days
Or 6 years, 11 days excluding the end date.
Or 72 months, 11 days excluding the end date.
314 weeks and 4 days
603.29% of a common year (365 days)

2022/27.322 = 74.006
Manhattan Island is on the 74th meridian
40° 42′ 42″ N, 74° 0′ 45″ W
"4 0 4 2 4 2 N 7 4 0 4 5 W" = 73 (Ordinal
"40 711667 74 0125" = 150 (Ordinal)
"Queen Elizabeth" = 150 (Ordinal)
"David Rockefeller" = 150 (Ordinal)

https://decodingsatan.blogspot.com/2019/03/manhattan-gets-new-332-area-code-heres.html

Thursday, June 1, 2023

77th NBA CHAMPIONSHIP DENVER NUGGETS v MIAMI HEAT decoding by WRB

 77th NBA CHAMPIONSHIP
DENVER NUGGETS v MIAMI HEAT

Saturn, according to Roman mythology, is Jupiter’s father.
The last Great Conjunction between Jupiter and Saturn occurred on 21.12.2020. This was a span of 9 months 11 days after the coronavirus was declared a pandemic on 11.3.2020.

From the ‘great meeting’ of ‘FATHER and CHILD’ on 21.12.2020 to the opening day of the 77th NBA season on 18.10.2022 was exactly 666 days.

The number of the beast is revealed in Revelation as the number 666.

Jupiter is the 5th and Saturn the 6th planet from the Sun.

Game 7 of the Finals is scheduled to be played on 18.6.2023 – FATHERS DAY!

This is the Denver Nuggets 56th season.
The star of the Denver Nuggets is Nikola Jokić.
Game 7 would be Jokic’s 666th game of his career.

Game 7 will be 119 days after Jokic’s birthday
Jokic’s daughter will be 626 days old for Game 7.
Nikola = 62(EO) 26(FR) Queen = 62(EO) 26(FR)

Game 7 would be the 244th day of the season.
666 first appears at the 2440th decimal digit of Pi.

Also, from Israel’s auspicious 70th birthday on 14.5.2018 to 18.6.2023 is a span of exactly 266 weeks. Our Holy FATHER is Pope Francis …the 266th pope.

Legendary basketballer Bill Russell died on the last day of the Ignatius Year on 31.7.22 ......to 18.6.23 is 322 days.

Jovic will get his 37th playoff win in Game 7 …Ignatius = 37(FR)
…while the Heat remain on 37 all-time wins playing against the Nuggets.

Kobe Bryant and his daughter Gianna died together on January 26th 2020.
For Game 7 on 18.6.23, Gianna would have been a span of 894 weeks old.
Skull and Bones = 894(Sumerian) Revelation = 894(Reverse Sumerian) Miami Heat star Jimmy Butler = 894(Reverse Sumerian)

From their death to 18.6.23 is exactly 42 lunar months …Bill Russell = 42(FR)
The Beast of Revelation rules for 42 months
The Nuggets will win their 42nd game all-time playing the Heat.

From the Queens death to Game 7 is a span of 9 months 11 days …911
Or 283 days(non-span) …William Felton Russell = 283(RO)
283 …the 61st prime …Elizabeth II = 61(FR)

From the NBA-Tissot renewal on 20.10.21 to 18.6.23 is 606 days
or a span of 607 days …the 111th prime …the NBA Finals = 111(EO)
Queen Elizabeth II born on the 111th day of the year.
9/11 on a day with 111 days remaining in the year.

Nikola Jokic is Serbian, as is Novak Djokovic.
Novax will play in the French Open on the 11th June, on the day that Serbia is exactly 888 weeks old.

Probably best to watch this series from the sidelines.The Heat could certainly get their 38th win against the Nuggets ....Colorado = 38 ...Florida = 38 ...in what has been a huge "38" NBA season. There is plenty to say the series goes down to the wire 4-3 or 3-4.
A big summer indeed!

Trump's turning 77 years old turning the 77th NBA championship. 

DHS Hear Mayokas warning of "extremists" taking down the power grid!

 WARNING! THEY ARE PREPARING US FOR A MAJOR LONG-TERM POWER OUTAGE!

National Terrorism Advisory System Bulletin - May 24, 2023

What You Gonna Do When the Grid Goes Down? Chuck D Shemitah
"When the Grid Goes Down" = 223 (English Ordinal) 

What You Gonna Do When the Grid Goes Down? is the fifteenth studio album by American political hip hop group Public Enemy. It was released on September 25, 2020 through Def Jam Recordings, making it their first album for the label since 1998's He Got Game.

September 25, 2020
9+25+20+20 = 74
9+25+2+0+2+0 = 38
9+2+5+2+0+2+0= 20
9+25+20= 54 

Fri, 25 September 2020 = 7th of Tishrei, 5781
ז׳ בְּתִשְׁרֵי תשפ״א
Parashat Ha'Azinu (God releases Hell) 
Read in the Diaspora on 26 September 2020 (8 Tishrei 5781).
Parashat Ha'Azinu is the 53rd weekly Torah portion in the annual Jewish cycle of Torah reading.
Torah Portion: Deuteronomy 32:1-32:52
Wasting famine, ravaging plague, Deadly pestilence, and fanged beasts Will I let loose against them, With venomous creepers in dust.
Ah! The vine for them is from Sodom, From the vineyards of Gomorrah; The grapes for them are poison, A bitter growth their clusters.

A song "When the grid goes down" by Chuck D released on 9/25/20 
From song release to summer solstice is 999 days... 
From and including: Friday, September 25, 2020
To, but not including Wednesday, June 21, 2023
Result: 999 days

To Bo Polny's daniel timeline date it's 33 months 
From and including: Friday, September 25, 2020
To, but not including Sunday, June 25, 2023
Or 33 months excluding the end date.

From and including: Friday, September 25, 2020
To, but not including Friday, June 30, 2023 (630+036=666)
Result: 1008 days
276.16% of a common year (365 days)
144 weeks


"next major cyber attack" = 1911 (Jewish)
"Ancient and Accepted Scottish Rite of Freemasonry" = 1911 (Jewish)
"cyber nine eleven" = 77 (Full Reduction)
"electrical" = 88 (English Ordinal)
"electrical grid attacks" = 1011 (English Extended)
"power grid attacks" = 190 (English Ordinal)
"major power outage" = 229 (Reverse Ordinal)
"next major cyber attack" = 229 (English Ordinal)
"next major cyber attack" = 311 (Reverse Ordinal)

Major US blackouts.... 
11/9/1965 = 11/9 = 119 .. 
From and including: Tuesday, November 9, 1965
To, but not including Wednesday, June 21, 2023
Result: 21,043 days

8/14/2003 = 8/14 
From and including: Monday, August 4, 2003
To, but not including Monday, June 19, 2023
Result: 7259 days
1037 weeks



Putin said he was going to hack the US on 3/21/2022 
Biden held a Cyber attack drill on 7/9/2021 
"Ukraine" = 79 (English Ordinal) = 7/9

From then to Biden's warning was 255 days
From and including: Friday, July 9, 2021
To, but not including Monday, March 21, 2022
Result: 255 days
"Putin" = 255 (Satanic)
"Satan" = 255 (Reverse Satanic)
"Red Shield" = 255 (English Extended)
"Assassination Attempt" = 255 (English Ordinal)
"Nuke" = 255 (Jewish)
"net" = 255 (English Extended)
"denuclearization" = 255 (Reverse Ordinal)
"Death To America" = 255 (Reverse Ordinal)
"needle" = 255 (Satanic)
"drill" = 255 (Reverse Satanic)


The Ukraine power grid hack was a cyberattack on Ukraine's power grid on December 23, 2015, resulting in power outages for roughly 230,000 consumers in ...
Date: December 23, 2015


From the day of the Ukrainian cyber attack to start of 2022 war was exactly 74 months or 322 weeks...
From and including: Wednesday, December 23, 2015
To, but not including Wednesday, February 23, 2022
Or 74 months excluding the end date.
322 weeks

From and including: Wednesday, December 23, 2015
To, but not including Friday, September 29, 2023
Result: 2837 days
777.26% of a common year (365 days)

From and including: Wednesday, December 23, 2015
To and including: Wednesday, November 6, 2024
Result: 3242 days
888.22% of a common year (365 days)

https://decodingsatan.blogspot.com/2022/03/biden-said-putin-was-going-to-hack-us.html

Trump came down elevator on 6/16/2015

 From and including: Tuesday, June 16, 2015
To and including: Wednesday, March 22, 2023
Result: 2837 days
777.26% of a common year (365 days)
On the day the Georgia Guidestones turned 43 years old 
"Jesus Christ" = 43 (Reduction)
"Jesus Christ" = 146 (Reverse Ordinal) 14/6 Trump's birthday 

From and including: Wednesday, March 22, 2023
To, but not including Wednesday, June 14, 2023
Result: 84 days

Trump's elevator turns 888% of a year old on the Illuminati's birthday's 248th birthday. 
From Tuesday, June 16, 2015
Added 3242 days
Result: Wednesday, May 1, 2024

Trump elevator turns 419 weeks old on 6/26/2023 
From and including: Tuesday, June 16, 2015
To and including: Monday, June 26, 2023
Result: 2933 days
Or 8 years, 11 days
"currency" = 811 (Latin)
419 weeks (Patriot's Day)
or 107.34 sidereal months old
2933/27.322= 107.34 
"currency" = 107 (Ordinal)
6*26+20*23= 616

Trump elevator to Tishabav 
From and including: Tuesday, June 16, 2015
To, but not including Thursday, July 27, 2023
Result: 2963 days
811.78% of a common year (365 days)
"currency" = 811 (Latin)
2963/27.322 = 108.44
"currency" = 44 (Reduction)

On the day Trump turns 77 years old the Swift banking system is 619.82 lunar mos
There are 619 commandments and (Tishabav = 82 (ordinal) 
From and including: Thursday, May 3, 1973
To, but not including Wednesday, June 14, 2023
Result: 18,304 days
18304 / 29.531 = 619.82
On the day Trump turns 77
"Swift" = 77 (Ordinal)

June 24th is the Sabbath and the Torah portion read is 
 Numbers 16:1-18:32
Parashat Korach recounts the rebellion of Korach (a cousin of Moses and Aaron), Dathan, Abiram, and 250 of their followers. Some rebels are swallowed by the ground, while others are consumed by a fire from God and others die in a plague. The portion ends by describing gifts given to priests and Levites

18315/33 = 555 
From and including: Thursday, May 3, 1973
To, but not including Sunday, June 25, 2023 
Result: 18,315 days
18315/33= 555 
Washington Monument is 555 feet tall 

It turns 555 on June 25th and 556 on Tishabav 
Days divided by 33 

From and including: Thursday, May 3, 1973
To and including: Thursday, July 27, 2023
Result: 18,348 days
18348 / 33 = 556

Days divided by 33 
From and including: Sunday, June 25, 2023
To and including: Thursday, July 27, 2023
Result: 33 days

Swift turns 603 months old on Jewish Valentines day 
From and including: Thursday, May 3, 1973
To and including: Wednesday, August 2, 2023
Result: 18,354 days
Or 603 months including the end date.
SWIFT
Society for Worldwide Interbank Financial Telecommunication" = 603 ( Ordinal)

Wed, 2 August 2023 = 15th of Av, 5783
ט״ו בְּאָב תשפ״ג
❤️ Tu B'Av ❤️
Parashat Eikev

Tu B’Av 2023 / טוּ בְּאָב 5783
Minor Jewish holiday of love ❤️
Tu B'Av for Hebrew Year 5783 begins at sundown on Tuesday, 1 August 2023 and ends at nightfall on Wednesday, 2 August 2023.
Tu B’Av (Hebrew: ט״ו באב, the fifteenth of the month Av) is a minor Jewish holiday. In modern-day Israel, it is celebrated as a holiday of love (חג האהבה Ḥag HaAhava). It has been said to be an auspicious day for weddings.
Parashat Eikev 5783 / פָּרָשַׁת עֵקֶב
5 August 2023 / 18 Av 5783

Parashat Eikev is the 46th weekly Torah portion in the annual Jewish cycle of Torah reading.

Torah Portion: Deuteronomy 7:12-11:25
In Eikev (“As a Result”), Moses recounts events that happened in the desert, including the manna, the golden calf, and Aaron's death. Moses describes the blessings God will bestow upon the Israelites if they follow God’s law and the punishments they will encounter if they disobey.

The SWIFT banking system was 666 sidereal months old the day Silicon Valley Bank failed...

From and including: Thursday, May 3, 1973
To, but not including Friday, March 10, 2023
Result: 18,208 days