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New Jersey, United States, The Quantum Computing Market report examines the market situation and prospects and represents the size of the Quantum Computing market (value and volume) and the share by company, type, application and region. The general trends and opportunities of Quantum Computing are also taken into account when examining the Quantum Computing industry. Quantum Computing The market report focuses on the following section: Analysis of the Quantum Computing industry by transfer into different segments; the main types of products that fall within the scope of the report.

This Quantum Computing market report is a complete analysis of the Quantum Computing market based on an in-depth primary and secondary analysis. The scope of the Quantum Computing market report includes global and regional sales, product consumption in terms of volume and value. The Quantum Computing market report contains an estimate of revenue, CAGR and total revenue. The knowledge gathered in world trade Quantum Computing is presented in figures, tables, pie charts and graphics.

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Top 10 Companies in the Global Quantum Computing Market Research Report:

Global Quantum Computing Market: Drivers and Restrains

The research report included analysis of various factors that increase market growth. These are trends, restrictions and drivers that change the market positively or negatively. This section also contains information on various segments and applications that may affect the market in the future. Detailed information is based on current trends and historical milestones. This section also includes an analysis of sales volume on the Quantum Computing market and for each type from 2015 to 2026. This section mentions sales volume by region from 2015 to 2026. The price analysis is included in the report Type of year 2015 to 2026, manufacturer from 2015 to 2020, region from 2015 to 2020 and total price from 2015 to 2026.

An in-depth assessment of the restrictions contained in the report describes the contrast to the drivers and leaves room for strategic planning. The factors that overshadow the growth of the market are essential as they can be understood to design different phrases to take advantage of the lucrative opportunities that the growing Quantum Computing market offers. In addition, information on the opinions of market experts was used to better understand the market.

Global Quantum Computing Market: Segment Analysis

The research report contains certain segments such as application and product type. Each type provides revenue information for the 2015-2026 forecast period. The application segment also provides volume revenue and revenue for the 2015-2026 forecast period. Understanding the segments identifies the importance of the various factors that support Quantum Computing market growth.

Global Quantum Computing Market: Regional Analysis

The research report includes a detailed study of the regions of North America, Europe, Asia Pacific, Latin America, the Middle East and Africa. The Quantum Computing report was compiled after various factors determining regional growth, such as the economic, environmental, social, technological and political status of the region concerned, were observed and examined. Analysts examined sales, sales, and manufacturer data for each region. This section analyzes sales and volume by region for the forecast period from 2015 to 2026. These analyzes help the reader understand the potential value of investments in a particular region.

Global Quantum Computing Market: Competitive Landscape

This section of the report lists various major manufacturers in the market. It helps the reader understand the strategies and collaborations that players focus on to fight competition in the market. The full report provides a significant microscopic overview of the Quantum Computing market. Readers can identify manufacturers footprints by knowing manufacturers global earnings, manufacturers world market prices, and manufacturers sales for the 2015-2019 forecast period.

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Table of Content

1 Introduction of Quantum Computing Market

1.1 Overview of the Market1.2 Scope of Report1.3 Assumptions

2 Executive Summary

3 Research Methodology of Verified Market Research

3.1 Data Mining3.2 Validation3.3 Primary Interviews3.4 List of Data Sources

4 Quantum Computing Market Outlook

4.1 Overview4.2 Market Dynamics4.2.1 Drivers4.2.2 Restraints4.2.3 Opportunities4.3 Porters Five Force Model4.4 Value Chain Analysis

5 Quantum Computing Market, By Deployment Model

5.1 Overview

6 Quantum Computing Market, By Solution

6.1 Overview

7 Quantum Computing Market, By Vertical

7.1 Overview

8 Quantum Computing Market, By Geography

8.1 Overview8.2 North America8.2.1 U.S.8.2.2 Canada8.2.3 Mexico8.3 Europe8.3.1 Germany8.3.2 U.K.8.3.3 France8.3.4 Rest of Europe8.4 Asia Pacific8.4.1 China8.4.2 Japan8.4.3 India8.4.4 Rest of Asia Pacific8.5 Rest of the World8.5.1 Latin America8.5.2 Middle East

9 Quantum Computing Market Competitive Landscape

9.1 Overview9.2 Company Market Ranking9.3 Key Development Strategies

10 Company Profiles

10.1.1 Overview10.1.2 Financial Performance10.1.3 Product Outlook10.1.4 Key Developments

11 Appendix

11.1 Related Research

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Quantum Computing Market Growth Analysis by Size, Top Companies, Supply Demand, Trends, Demand, Overview and Forecast to 2026 - Cole of Duty

In September 1955, John McCarthy, a young assistant professor of mathematics at Dartmouth College, boldly proposed that "every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it."

McCarthy called this new field of study "artificial intelligence," and suggested that a two-month effort by a group of 10 scientists could make significant advances in developing machines that could "use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves."

At the time, scientists optimistically believed we would soon have thinking machines doing any work a human could do. Now, more than six decades later, advances in computer science and robotics have helped us automate many of the tasks that previously required the physical and cognitive labor of humans.

But true artificial intelligence, as McCarthy conceived it, continues to elude us.

A great challenge with artificial intelligence is that it's a broad term, and there's no clear agreement on its definition.

As mentioned, McCarthy proposed AI would solve problems the way humans do: "The ultimate effort is to make computer programs that can solve problems and achieve goals in the world as well as humans," McCarthy said.

Andrew Moore, Dean of Computer Science at Carnegie Mellon University, provided a more modern definition of the term in a 2017 interview with Forbes: "Artificial intelligence is the science and engineering of making computers behave in ways that, until recently, we thought required human intelligence."

But our understanding of "human intelligence" and our expectations of technology are constantly evolving. Zachary Lipton, the editor of Approximately Correct, describes the term AI as "aspirational, a moving target based on those capabilities that humans possess but which machines do not." In other words, the things we ask of AI change over time.

For instance, In the 1950s, scientists viewed chess and checkers as great challenges for artificial intelligence. But today, very few would consider chess-playing machines to be AI. Computers are already tackling much more complicated problems, including detecting cancer, driving cars, and processing voice commands.

The first generation of AI scientists and visionaries believed we would eventually be able to create human-level intelligence.

But several decades of AI research have shown that replicating the complex problem-solving and abstract thinking of the human brain is supremely difficult. For one thing, we humans are very good at generalizing knowledge and applying concepts we learn in one field to another. We can also make relatively reliable decisions based on intuition and with little information. Over the years, human-level AI has become known as artificial general intelligence (AGI) or strong AI.

The initial hype and excitement surrounding AI drew interest and funding from government agencies and large companies. But it soon became evident that contrary to early perceptions, human-level intelligence was not right around the corner, and scientists were hard-pressed to reproduce the most basic functionalities of the human mind. In the 1970s, unfulfilled promises and expectations eventually led to the "AI winter," a long period during which public interest and funding in AI dampened.

It took many years of innovation and a revolution in deep-learning technology to revive interest in AI. But even now, despite enormous advances in artificial intelligence, none of the current approaches to AI can solve problems in the same way the human mind does, and most experts believe AGI is at least decades away.

The flipside, narrow or weak AI doesn't aim to reproduce the functionality of the human brain, and instead focuses on optimizing a single task. Narrow AI has already found many real-world applications, such as recognizing faces, transforming audio to text, recommending videos on YouTube, and displaying personalized content in the Facebook News Feed.

Many scientists believe that we will eventually create AGI, but some have a dystopian vision of the age of thinking machines. In 2014, renowned English physicist Stephen Hawking described AI as an existential threat to mankind, warning that "full artificial intelligence could spell the end of the human race."

In 2015, Y Combinator President Sam Altman and Tesla CEO Elon Musk, two other believers in AGI, co-founded OpenAI, a nonprofit research lab that aims to create artificial general intelligence in a manner that benefits all of humankind. (Musk has since departed.)

Others believe that artificial general intelligence is a pointless goal. "We don't need to duplicate humans. That's why I focus on having tools to help us rather than duplicate what we already know how to do. We want humans and machines to partner and do something that they cannot do on their own," says Peter Norvig, Director of Research at Google.

Scientists such as Norvig believe that narrow AI can help automate repetitive and laborious tasks and help humans become more productive. For instance, doctors can use AI algorithms to examine X-ray scans at high speeds, allowing them to see more patients. Another example of narrow AI is fighting cyberthreats: Security analysts can use AI to find signals of data breaches in the gigabytes of data being transferred through their companies' networks.

Early AI-creation efforts were focused on transforming human knowledge and intelligence into static rules. Programmers had to meticulously write code (if-then statements) for every rule that defined the behavior of the AI. The advantage of rule-based AI, which later became known as "good old-fashioned artificial intelligence" (GOFAI), is that humans have full control over the design and behavior of the system they develop.

Rule-based AI is still very popular in fields where the rules are clearcut. One example is video games, in which developers want AI to deliver a predictable user experience.

The problem with GOFAI is that contrary to McCarthy's initial premise, we can't precisely describe every aspect of learning and behavior in ways that can be transformed into computer rules. For instance, defining logical rules for recognizing voices and imagesa complex feat that humans accomplish instinctivelyis one area where classic AI has historically struggled.

An alternative approach to creating artificial intelligence is machine learning. Instead of developing rules for AI manually, machine-learning engineers "train" their models by providing them with a massive amount of samples. The machine-learning algorithm analyzes and finds patterns in the training data, then develops its own behavior. For instance, a machine-learning model can train on large volumes of historical sales data for a company and then make sales forecasts.

Deep learning, a subset of machine learning, has become very popular in the past few years. It's especially good at processing unstructured data such as images, video, audio, and text documents. For instance, you can create a deep-learning image classifier and train it on millions of available labeled photos, such as the ImageNet dataset. The trained AI model will be able to recognize objects in images with accuracy that often surpasses humans. Advances in deep learning have pushed AI into many complicated and critical domains, such as medicine, self-driving cars, and education.

One of the challenges with deep-learning models is that they develop their own behavior based on training data, which makes them complex and opaque. Often, even deep-learning experts have a hard time explaining the decisions and inner workings of the AI models they create.

Here are some of the ways AI is bringing tremendous changes to different domains.

Self-driving cars: Advances in artificial intelligence have brought us very close to making the decades-long dream of autonomous driving a reality. AI algorithms are one of the main components that enable self-driving cars to make sense of their surroundings, taking in feeds from cameras installed around the vehicle and detecting objects such as roads, traffic signs, other cars, and people.

Digital assistants and smart speakers: Siri, Alexa, Cortana, and Google Assistant use artificial intelligence to transform spoken words to text and map the text to specific commands. AI helps digital assistants make sense of different nuances in spoken language and synthesize human-like voices.

Translation: For many decades, translating text between different languages was a pain point for computers. But deep learning has helped create a revolution in services such as Google Translate. To be clear, AI still has a long way to go before it masters human language, but so far, advances are spectacular.

Facial recognition: Facial recognition is one of the most popular applications of artificial intelligence. It has many uses, including unlocking your phone, paying with your face, and detecting intruders in your home. But the increasing availability of facial-recognition technology has also given rise to concerns regarding privacy, security, and civil liberties.

Medicine: From detecting skin cancer and analyzing X-rays and MRI scans to providing personalized health tips and managing entire healthcare systems, artificial intelligence is becoming a key enabler in healthcare and medicine. AI won't replace your doctor, but it could help to bring about better health services, especially in underprivileged areas, where AI-powered health assistants can take some of the load off the shoulders of the few general practitioners who have to serve large populations.

In our quest to crack the code of AI and create thinking machines, we've learned a lot about the meaning of intelligence and reasoning. And thanks to advances in AI, we are accomplishing tasks alongside our computers that were once considered the exclusive domain of the human brain.

Some of the emerging fields where AI is making inroads include music and arts, where AI algorithms are manifesting their own unique kind of creativity. There's also hope AI will help fight climate change, care for the elderly, and eventually create a utopian future where humans don't need to work at all.

There's also fear that AI will cause mass unemployment, disrupt the economic balance, trigger another world war, and eventually drive humans into slavery.

We still don't know which direction AI will take. But as the science and technology of artificial intelligence continues to improve at a steady pace, our expectations and definition of AI will shift, and what we consider AI today might become the mundane functions of tomorrow's computers.

Read more:
What Is Artificial Intelligence (AI)? | PCMag

Credit: N. Hanacek/NIST

Artificial Intelligence (AI) is rapidly transforming our world. Remarkable surges in AI capabilities have led to a number of innovations including autonomous vehicles and connected Internet of Things devices in our homes. AI is even contributing to the development of a brain-controlled robotic arm that can help a paralyzed person feel again through complex direct human-brain interfaces. These new AI-enabled systems are revolutionizing everything from commerce and healthcare to transportation and cybersecurity.

AI has the potential to impact nearly all aspects of our society, including our economy, but the development and use of the new technologies it brings are not without technical challenges and risks. AI must be developed in a trustworthy manner to ensure reliability, safety and accuracy.

NIST has a long-standing reputation for cultivating trust in technology by participating in the development of standards and metrics that strengthen measurement science and make technology more secure, usable, interoperable and reliable. This work is critical in the AI space to ensure public trust of rapidly evolving technologies, so that we can benefit from all that this field has to promise.

AI systems typically make decisions based on data-driven models created by machine learning, or the systems ability to detect and derive patterns. As the technology advances, we will need to develop rigorous scientific testing that ensures secure, trustworthy and safe AI. We also need to develop a broad spectrum of standards for AI data, performance, interoperability, usability, security and privacy.

NIST participates in interagency efforts to further innovation in AI. NIST Director and Undersecretary of Commerce for Standards and Technology Walter Copan serves on the White House Select Committee on Artificial Intelligence. Charles Romine, Director of NISTs Information Technology Laboratory, serves on the Machine Learning and AI Subcommittee.

A February 11, 2019,Executive Order on Maintaining American Leadership in Artificial Intelligence tasks NIST with developing a plan for Federal engagement in the development of technical standards and related tools in support of reliable, robust, and trustworthy systems that use AI technologies. For more information, see: https://www.nist.gov/topics/artificial-intelligence/ai-standards.

NIST research in AI is focused on how to measure and enhance the security and trustworthiness of AI systems. This includes participation in the development of international standards that ensure innovation, public trust and confidence in systems that use AI technologies. In addition, NIST is applying AI to measurement problems to gain deeper insight into the research itself as well as to better understand AIs capabilities and limitations.

The NIST AI program has two major goals:

The recently launched AI Visiting Fellowprogram brings nationally recognized leaders in AI and machine learning to NIST to share their knowledge and experience and to provide technical support.

See the article here:
Artificial intelligence | NIST

Nominated for 2 Oscars. Another 17 wins & 68 nominations. See more awards Learn more More Like This

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Based on the true story of the Black September aftermath, about the five men chosen to eliminate the ones responsible for that fateful day.

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As Earth is invaded by alien tripod fighting machines, one family fights for survival in this sci-fi action film.

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In the not-so-far future the polar ice caps have melted and the resulting rise of the ocean waters has drowned all the coastal cities of the world. Withdrawn to the interior of the continents, the human race keeps advancing, reaching the point of creating realistic robots (called mechas) to serve them. One of the mecha-producing companies builds David, an artificial kid which is the first to have real feelings, especially a never-ending love for his "mother", Monica. Monica is the woman who adopted him as a substitute for her real son, who remains in cryo-stasis, stricken by an incurable disease. David is living happily with Monica and her husband, but when their real son returns home after a cure is discovered, his life changes dramatically. Written byChris Makrozahopoulos

Budget:$100,000,000 (estimated)

Opening Weekend USA: $29,352,630,1 July 2001

Gross USA: $78,616,689

Cumulative Worldwide Gross: $235,926,552

Runtime: 146 min

Aspect Ratio: 1.85 : 1

Read the original post:
A.I. Artificial Intelligence (2001) - IMDb

Ann Coulter went on an early Sunday morning Twitter tear, calling President Donald Trump the most disloyal actual retard that has ever set foot in the Oval Office.

The far-right media pundit and former Trump defender was triggered by the presidents Friday tweet in which he called for Alabama voters to not trust Jeff Sessions and instead put their support behind Sessions Republican Senate seat challenger, football coach Tommy Tuberville.

3 years ago, after Jeff Sessions recused himself, the Fraudulent Mueller Scam began. Alabama, do not trust Jeff Sessions. He let our Country down. Thats why I endorsed Coach Tommy Tuberville (@TTuberville), the true supporter of our #MAGA agenda!, Trump tweeted.

And that set off Coulter, who called Trump a moron, retard and lout, who was incapable of pretending to be a decent, compassionate human being.

Also Read: Trump Rails Against Fox News As Latest Poll Shows Him Down

Also Read: Trump Says He 'Tested Positively' for Testing Negative for Coronavirus

Coulter capped off her rant by affirming the issues that Trump stood behind as a candidate but that she feels he has abandoned since entering the White House. The commentator, who published a book in 2016 titled In Trump We Trust, added that she regrets once believing in this shallow and broken man.

Also Read: MSNBC's Joe Scarborough: Trump Is Acting Like He Doesn't Want to Be Re-Elected (Video)

During the 2016 presidential primary and into Trumps early years in the White House, Coulter championed the real estate mogul and his political agenda. She has since distanced herself from him over immigration policies, an issue which prompted her to support Sessions, who served as Trumps first attorney general.

In February 2019, Trump declared a national emergency at the Southern border, while pushing himself away from Coulter. She responded by saying that the only national emergency is that our president is an idiot.

Jim Carrey has made his disdain for the current state of politics an artform... literally. The Oscar-nominated actor-turned-artist's series of drawings depict all that he believes to be wrong in D.C., from foreign policy to immigration to the GOP in general. But his biggest gripe goes right to the top with President Trump himself. Here are just a few of his many objets d'art that lay out his discontent for all to see.

May 14, 2020

"When America needed masks Fox 'News' gave them blindfolds"

May 11, 2020

"Grim Reaper officially jealous of Trump and GOP's ability to double the death toll"

April 29, 2020

"Trumps next medical breakthrough: 'Want COVID out? SHOUT IT OUT!'"

March 26, 2020

"Trump is willing to risk countless lives to save his economic record. He has fully become the mayor from Jaws."

March 24, 2020

"As cases of COVID-19 double every three days in NYC, the President reassures Wall Street that he can handle the important tissues."

Dec. 18, 2019

"That night, Donald had a very strange dream."

Dec. 4, 2019

"Like Captain Ahab, obsessed by a white whale of earthly dominance, Trump beckons all those who enable his madness to their doom. Will we awaken to the truth or ignore our own senses and blindly follow a maniac into the abyss? Me? 'They call me Ishmael!'"

Nov. 21, 2019

"His reign will soon be over. Woe to the loyal subjects of this counterfeit king."

Nov. 19, 2019

"Just another profile in cowardice."

Nov. 18, 2019

"#GOPU"

Nov. 14, 2019

"#GOPU"

Nov. 11, 2019

"Hope you had a great Veterans Day! I pray in the future that our soldiers will have a real leader, not a coward or a lying thieving draft dodging pirate with tiny man parts [ALLEGEDLY]! But hey, maybe next year - if justice prevails."

Oct. 26, 2019

"SCIF of Fools"

Oct. 6, 2019

"The Fraudfather made Zelensky 'an offer he couldnt refuse.'"

Sept. 27, 2019

Rise up! Rise up armies of darkness! Bring me the whistleblowers, that I might suck the marrow from their bones and build my border wall with their traitorous skulls!!! If you wanna call that witness intimidation, fine.

Sept. 26, 2019

"Yippie-ki-yay MF!"

Sept. 13, 2019

"Hey, Nancy Pelosi: Theres something on the wing! Some THING! You may wanna grit your teeth and cross your fingers while this gremlin rips the engines apart - but the rest of us want to live. START THE HEARINGS! IMPEACH THIS ANIMAL!!"

Sept. 11, 2019

"Who will be the new National Security Advisor? Will it be The Hamburglar, or is he better suited to take on climate change? When it comes to horrible options, Trumps bench runs deep. BTW youre paying for the burgers."

Sept. 5, 2019

"#sharpiegate"

Sept. 4, 2019

"10,000 gun deaths in 2019 and the year is far from over. What Osama bin Laden did to us was terrible but he doesnt hold a candle to Mitch McConnell."

Sept. 3, 2019

"United Sadists of America."

June 30, 2019

"Guilty Loser Donald Trump isnt rich. Being heartless, untrustworthy and made of dirty money is the worst kind of poverty there is. So cast your vote like youre worth something and let the angels dispose of this waste."

June 18, 2019

"Go ahead McGahn...throw your body on his grenade. Sacrifice your integrity (assuming you have any) while he publicly calls you a liar and perjurer. John Dean helped bring down a criminal President. Ask yourself if your face is worth saving."

April 28, 2019

"You let us down Mr. Mueller. You saw obstruction and washed your hands of it. Not indicting a President is a memo, not a law. You let a tyrant skate with 'I dont remember.' You gave the enemy a leg up. Live with that...'PROSECUTOR'"

April 24, 2019

"Lets all drink a toast to the new king of lies, and the minions who help him while democracy dies, and our kids wholl be taught that the wicked are wise because Potus was Jack from Lord of The Flies. How much poison are you willing to swallow?!"

April 18, 2019

"It's not illegal for Trumps head to spin around while he vomits copious amounts of green bile either, but hes definitely not fit to be President, hes definitely not exonerated and Barr definitely couldnt go any lower."

March 17, 2019 "Innocent people are now being slaughtered, families ruined and childrens' lives destroyed. All in his name. If the Craven Republican Senate allows this vile miscreant to continue encouraging devisiveness, the 'Trump Presidency' will become an EXTINCTION LEVEL EVENT."

Feb, 27, 2019 "If Trump makes a nuclear deal w/ North Korea, it's a FRAUD: China and Russia trying to keep their Prize Pony in the White House. When there's a Nobel Prize for cowardice and moral desolation Trump will be the first to receive it."

Jan. 30, 2019

"The New American Dream! Get rid of this filth and bring our blue skies back."

Jan. 10, 2019

"34 journalists were murdered last year because tyrants like Trump demonized them for doing their jobs. Maybe this year he'll get a new bone saw for his bday from his pal, the Saudi Slayer, and they can chop up the next body together. That's what 'fiends' are for!"

Jan. 8, 2019

"When Trump tries to frighten and decieve the nation tonight, remember to follow every sentence that comes out of his mouth with, "HE LIED!" (7000 + so far) Don't let him turn you into a clown, too busy juggling his lies to see the edge of the cliff."

Dec. 31, 2018

"One last tweet about this Stinker for 2018. Remember -- no matter what #PresidentNeverWas says in the New Year... THIS IS NOT A PIE. Happy New Year, Everyone!"

Dec. 21, 2018

"WE'RE LOSING HER!"

Dec. 14, 2018

"Now an innocent seven-year-old girl has died of medical neglect because of Trumps sadism at the border. If theres a Hell..."

Dec. 13, 2018

"Oh oh, Domino!"

Dec. 2, 2018

"Ain't nuthin but a G-20 thing, baaaabay!"

Nov. 15, 2018

"As the California death toll rises our Sadist-in-Chief is spending $220 million to send troops to the border for nothing. Thats one way to get rid of Democrats. This is no longer politics. This is manslaughter."

Nov. 11, 2018

"Guess who cut the funding for fire management in California then blamed the fires on mismanagement? How do YOU spell infantile?!"

Nov. 6, 2018

"Shameless lies. Endless indictments. The rise of racist hate groups. Kidnapped children. Contempt for rule of law - and quite possibly TREASON. Let's end this ill-wind that's blowing America off-balance and turning us against each other. VOTE DEMOCRAT!"

Oct. 30, 2018

"The GOP are now completely invested in Trump's economy of LIES. They say they're gonna give you HEALTHCARE while working to destroy it. They make up lies about refugees while KIDNAPPING INNOCENT CHILDREN! Vote Democrat. Help save the future. DON'T FOLLOW THE RED HAT TO HELL!"

Oct. 12, 2018

"From the bowels of the White House he shrieked, hurled curses and tweeted bile -- because that's what demons do. YOU are the Exorcist. Vote Democrat for goodness' sake."

Sept. 25, 2018

"The monster is out of control. Vote for your lives!"

Sept. 2, 2018

"Donald Trump is now inciting civil unrest at his rallies, threatening the safety of our citizens. A real President doesnt do this. A real congress wont allow him to."

Aug. 21, 2018

"Manafort, GUILTY! Cohen, GUILTY! Flynn, Guilty! Gates, Guilty! What's happening to All the Best People? 'Ladies and Gentlemen! Children of all ages! Can the Great Spewdini spew enough lies to escape the straight-jacket of his un-Presidented criminality?'"

Aug. 18, 2018

"Down and down they went. Lower than any administration in history. Arthritic knees creaking and burning, Giuliani's hammy thighs chafing in the wet heat of his Master's crypt. It seemed like the bottom was nowhere in sight."

Aug. 17, 2018

Read more here:
Ann Coulter Turns on Disloyal Actual Retard Trump in ...