The Prometheus League
Breaking News and Updates
- Abolition Of Work
- Ai
- Alt-right
- Alternative Medicine
- Antifa
- Artificial General Intelligence
- Artificial Intelligence
- Artificial Super Intelligence
- Ascension
- Astronomy
- Atheism
- Atheist
- Atlas Shrugged
- Automation
- Ayn Rand
- Bahamas
- Bankruptcy
- Basic Income Guarantee
- Big Tech
- Bitcoin
- Black Lives Matter
- Blackjack
- Boca Chica Texas
- Brexit
- Caribbean
- Casino
- Casino Affiliate
- Cbd Oil
- Censorship
- Cf
- Chess Engines
- Childfree
- Cloning
- Cloud Computing
- Conscious Evolution
- Corona Virus
- Cosmic Heaven
- Covid-19
- Cryonics
- Cryptocurrency
- Cyberpunk
- Darwinism
- Democrat
- Designer Babies
- DNA
- Donald Trump
- Eczema
- Elon Musk
- Entheogens
- Ethical Egoism
- Eugenic Concepts
- Eugenics
- Euthanasia
- Evolution
- Extropian
- Extropianism
- Extropy
- Fake News
- Federalism
- Federalist
- Fifth Amendment
- Fifth Amendment
- Financial Independence
- First Amendment
- Fiscal Freedom
- Food Supplements
- Fourth Amendment
- Fourth Amendment
- Free Speech
- Freedom
- Freedom of Speech
- Futurism
- Futurist
- Gambling
- Gene Medicine
- Genetic Engineering
- Genome
- Germ Warfare
- Golden Rule
- Government Oppression
- Hedonism
- High Seas
- History
- Hubble Telescope
- Human Genetic Engineering
- Human Genetics
- Human Immortality
- Human Longevity
- Illuminati
- Immortality
- Immortality Medicine
- Intentional Communities
- Jacinda Ardern
- Jitsi
- Jordan Peterson
- Las Vegas
- Liberal
- Libertarian
- Libertarianism
- Liberty
- Life Extension
- Macau
- Marie Byrd Land
- Mars
- Mars Colonization
- Mars Colony
- Memetics
- Micronations
- Mind Uploading
- Minerva Reefs
- Modern Satanism
- Moon Colonization
- Nanotech
- National Vanguard
- NATO
- Neo-eugenics
- Neurohacking
- Neurotechnology
- New Utopia
- New Zealand
- Nihilism
- Nootropics
- NSA
- Oceania
- Offshore
- Olympics
- Online Casino
- Online Gambling
- Pantheism
- Personal Empowerment
- Poker
- Political Correctness
- Politically Incorrect
- Polygamy
- Populism
- Post Human
- Post Humanism
- Posthuman
- Posthumanism
- Private Islands
- Progress
- Proud Boys
- Psoriasis
- Psychedelics
- Putin
- Quantum Computing
- Quantum Physics
- Rationalism
- Republican
- Resource Based Economy
- Robotics
- Rockall
- Ron Paul
- Roulette
- Russia
- Sealand
- Seasteading
- Second Amendment
- Second Amendment
- Seychelles
- Singularitarianism
- Singularity
- Socio-economic Collapse
- Space Exploration
- Space Station
- Space Travel
- Spacex
- Sports Betting
- Sportsbook
- Superintelligence
- Survivalism
- Talmud
- Technology
- Teilhard De Charden
- Terraforming Mars
- The Singularity
- Tms
- Tor Browser
- Trance
- Transhuman
- Transhuman News
- Transhumanism
- Transhumanist
- Transtopian
- Transtopianism
- Ukraine
- Uncategorized
- Vaping
- Victimless Crimes
- Virtual Reality
- Wage Slavery
- War On Drugs
- Waveland
- Ww3
- Yahoo
- Zeitgeist Movement
-
Prometheism
-
Forbidden Fruit
-
The Evolutionary Perspective
Category Archives: Artificial Intelligence
Researchers create innovative verification techniques to increase security in artificial intelligence and image processing – European Research Council
Posted: April 29, 2024 at 11:25 am
A team of researchers from the IMDEA Software Institute, Carlos III University of Madrid and NEC Laboratories Europe has introduced a novel framework that promises to improve the efficiency and practicality of verifiable computation. The research, detailed in the paper 'Modular Sumcheck Proofs with Applications to Machine Learning and Image Processing,' addresses the scalability and modularity challenges faced by both general proof systems and solutions tailored to specific applications in artificial intelligence and image processing.
Verifiable computation comprises a family of cryptographic techniques that provide an unforgeable guarantee that some third party, such as a company or a cloud server, has performed correct processing of a user's data. Proving that an image or a video has been edited, that a prediction made by artificial intelligence comes from an audited model, or that only customer-provided data has been used in a creditworthiness decision are some examples of what these techniques enable. In addition, verifiable computation is compatible with data privacy, so that, for example, the algorithms used by the server in the calculation are kept confidential.
Verifiable computation provides integrity, fairness and privacy, essential properties in applications that outsource data processing tasks. Within the possible solutions, there are general proof systems, such as those used in some blockchain, which have scalability problems when dealing with computations with large amounts of data. On the other hand, solutions designed specifically for these applications are more efficient, but often incompatible with each other, making it difficult to scale them up or integrate them into larger data processing chains.
Researchers have introduced a new framework aimed at bridging this gap by combining the performance advantages of custom solutions with the versatility of general-purpose test systems. At its core is a modular approach to verifiable computation of sequential operations, which is based on a new cryptographic primitive known as VE (Verifiable Evaluation Scheme).
The researchers demonstrate the practical application of their framework in artificial intelligence by proposing a novel VE adapted to convolution operations, capable of handling multiple interconnected input and output channels. 'Our protocol can be easily integrated into a data processing chain to enable full verification of, for example, predictions made by convolutional neural networks (CNNs), which are the basis of most artificial intelligence models,' says David Balbs, PhD student at IMDEA Software and researcher of this study. In addition, the paper also presents new VEs for image processing, which allow efficient verification of editing or retouching, including operations such as cropping, blurring, rescaling and other more complex operations.
The team has produced a prototype application of its testing systems that is a significant improvement on existing techniques. 'Our benchmarking shows that our proofs are five times faster to generate and ten times faster to verify than the best existing solutions so far, in addition to introducing theoretical innovations in the algorithms,' explains Damien Robissout, research programmer at Institute IMDEA Software and also co-author of the study.
These results not only improve the efficiency and scalability of cryptographic proof systems but also open up new possibilities for ensuring the integrity, fairness and privacy of data processing tasks in various applications of artificial intelligence and image processing. The application generated in the study is open source and its modular nature paves the way for its extension and integration into various tools within a data processing chain. In this way, the researchers clear the way for versatile and robust deployment of verifiable computation in applications as diverse as financial ethics, personal data protection or artificial intelligence regulation, among others.
This press release is a result of collaboration between the host institution of an ERC grant and the European Research Council Executive Agency (ERCEA). Online project information and links published in this press release are correct when on the day of the publication goes to press. The ERC cannot be held responsible for information which is out of date or websites that are no longer live. Neither the ERCEA nor any person acting on its behalf is responsible for the use that may be made of the information contained in this press release or for any errors that may remain in the texts, despite the care taken in preparing them.
Read the original here:
Posted in Artificial Intelligence
Comments Off on Researchers create innovative verification techniques to increase security in artificial intelligence and image processing – European Research Council
Who in Europe is investing the most in artificial intelligence? – Euronews
Posted: at 11:25 am
Europe faces challenges in the adoption of artificial intelligence, including regulatory barriers and a shortage of skilled professionals. The Next Generation EU has committed 4.4 billion to AI initiatives, with two Southern European countries leading the way.
Artificial Intelligence (AI) is reshaping the global economic landscape, emerging as a pivotal force in the digital domain and driving innovation across various sectors.
By 2030, AI is expected to have injected more than 11 trillion into the global economy, according to industry forecasts. It's anticipated that AI and robotics will jointly spark the creation of around 60 million new jobs globally by 2025, underscoring the critical importance of digitalisation in propelling economic growth.
In a concerted effort to match global tech leaders, the European Union is intensifying its push to integrate and advance AI, with a particular emphasis on bolstering digital infrastructure and capabilities across its member states.
However, despite these optimistic projections, challenges persist.
Velina Lilyanova, a researcher at the European Parliamentary Research Service, has highlighted Europe's slow AI adoption in critical sectors such as healthcare and public administration.
"Europe has a weakness in this respect," she claims in her recent study entitled Investment in Artificial Intelligence in the National Recovery and Resilience Plans.
Lilyanova points out that Europe faces several challenges that hinder broader AI uptake, including regulatory barriers, trust issues, a shortage of digital skills, and low levels of company digitalisation.
"Member States need to address these barriers to facilitate widespread uptake," she stated, emphasising the need for regulatory reforms, enhancing digital skills, and boosting company digitalisation.
The European Commission has laid out ambitious goals for 2030: aiming for 90% of EU small and medium-sized enterprises (SMEs) to achieve at least a basic level of digital intensity and for 75% of EU companies to adopt technologies like cloud computing, AI, and big data.
Investment strategies in AI vary significantly among EU member states, ranging from direct research and development (R&D) funding to indirect support via business and public service digitalisation, as detailed by Lilyanova.
Spain's National Recovery and Resilience Plan (NRRP) specifically allocates funds to strengthen AI development, aiming to position the country as a leader in AI scientific excellence and innovation. The plan focuses on developing AI tools and applications in the Spanish language to enhance productivity in the private sector and efficiency in public administration.
Italy's Strategic Programme on AI (2022-2024), aligning with the broader EU AI strategy, aims to make Italy a global hub for AI research and innovation by enhancing skills and attracting leading AI talents.
Denmark is leveraging its strong R&D ecosystem and high digital intensity among SMEs to enhance its national digital strategy, incorporating AI to improve public administration through reforms.
The European Commission's Joint Research Centre has conducted an exhaustive analysis of AI-related funding across EU countries.
According to a 2023 study by Papazoglu et al. , the Next Generation EU (NGEU) instrument and its Recovery and Resilience Facility (RRF) account for 70% of total investments in digital transformation.
Specifically, of the 116.8 billion allocated by the NGEU RRF for the "Digital Decade", 4.376 billion is earmarked for AI projects.
A breakdown of national investments reveals Italy as the frontrunner, planning 1.895 billion to AI-related projects. Spain follows with 1.2 billion. Together, the two Southern European nations represent 71% of the total investments allocated to AI-related projects within NGEU RRF.
Denmark leads on a relative basis, dedicating 8.7% of its Digital RRF budget to AI projects. followed by Spain at 6.4%, and Ireland at 5.2%.
European countries are allocating an average of nearly 3% of their digitalisation funds to AI projects.
Sweden, the Netherlands, Belgium, and Austria are at the lower end, committing less than 1% of their RRF budgets to AI-related projects.
More here:
Who in Europe is investing the most in artificial intelligence? - Euronews
Posted in Artificial Intelligence
Comments Off on Who in Europe is investing the most in artificial intelligence? – Euronews
The Standard Names Porter Orr Second Vice President of Artificial Intelligence Strategy and Development – NRToday.com
Posted: at 11:25 am
State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington Washington D.C. West Virginia Wisconsin Wyoming Puerto Rico US Virgin Islands Armed Forces Americas Armed Forces Pacific Armed Forces Europe Northern Mariana Islands Marshall Islands American Samoa Federated States of Micronesia Guam Palau Alberta, Canada British Columbia, Canada Manitoba, Canada New Brunswick, Canada Newfoundland, Canada Nova Scotia, Canada Northwest Territories, Canada Nunavut, Canada Ontario, Canada Prince Edward Island, Canada Quebec, Canada Saskatchewan, Canada Yukon Territory, Canada
Zip Code
Country United States of America US Virgin Islands United States Minor Outlying Islands Canada Mexico, United Mexican States Bahamas, Commonwealth of the Cuba, Republic of Dominican Republic Haiti, Republic of Jamaica Afghanistan Albania, People's Socialist Republic of Algeria, People's Democratic Republic of American Samoa Andorra, Principality of Angola, Republic of Anguilla Antarctica (the territory South of 60 deg S) Antigua and Barbuda Argentina, Argentine Republic Armenia Aruba Australia, Commonwealth of Austria, Republic of Azerbaijan, Republic of Bahrain, Kingdom of Bangladesh, People's Republic of Barbados Belarus Belgium, Kingdom of Belize Benin, People's Republic of Bermuda Bhutan, Kingdom of Bolivia, Republic of Bosnia and Herzegovina Botswana, Republic of Bouvet Island (Bouvetoya) Brazil, Federative Republic of British Indian Ocean Territory (Chagos Archipelago) British Virgin Islands Brunei Darussalam Bulgaria, People's Republic of Burkina Faso Burundi, Republic of Cambodia, Kingdom of Cameroon, United Republic of Cape Verde, Republic of Cayman Islands Central African Republic Chad, Republic of Chile, Republic of China, People's Republic of Christmas Island Cocos (Keeling) Islands Colombia, Republic of Comoros, Union of the Congo, Democratic Republic of Congo, People's Republic of Cook Islands Costa Rica, Republic of Cote D'Ivoire, Ivory Coast, Republic of the Cyprus, Republic of Czech Republic Denmark, Kingdom of Djibouti, Republic of Dominica, Commonwealth of Ecuador, Republic of Egypt, Arab Republic of El Salvador, Republic of Equatorial Guinea, Republic of Eritrea Estonia Ethiopia Faeroe Islands Falkland Islands (Malvinas) Fiji, Republic of the Fiji Islands Finland, Republic of France, French Republic French Guiana French Polynesia French Southern Territories Gabon, Gabonese Republic Gambia, Republic of the Georgia Germany Ghana, Republic of Gibraltar Greece, Hellenic Republic Greenland Grenada Guadaloupe Guam Guatemala, Republic of Guinea, Revolutionary People's Rep'c of Guinea-Bissau, Republic of Guyana, Republic of Heard and McDonald Islands Holy See (Vatican City State) Honduras, Republic of Hong Kong, Special Administrative Region of China Hrvatska (Croatia) Hungary, Hungarian People's Republic Iceland, Republic of India, Republic of Indonesia, Republic of Iran, Islamic Republic of Iraq, Republic of Ireland Israel, State of Italy, Italian Republic Japan Jordan, Hashemite Kingdom of Kazakhstan, Republic of Kenya, Republic of Kiribati, Republic of Korea, Democratic People's Republic of Korea, Republic of Kuwait, State of Kyrgyz Republic Lao People's Democratic Republic Latvia Lebanon, Lebanese Republic Lesotho, Kingdom of Liberia, Republic of Libyan Arab Jamahiriya Liechtenstein, Principality of Lithuania Luxembourg, Grand Duchy of Macao, Special Administrative Region of China Macedonia, the former Yugoslav Republic of Madagascar, Republic of Malawi, Republic of Malaysia Maldives, Republic of Mali, Republic of Malta, Republic of Marshall Islands Martinique Mauritania, Islamic Republic of Mauritius Mayotte Micronesia, Federated States of Moldova, Republic of Monaco, Principality of Mongolia, Mongolian People's Republic Montserrat Morocco, Kingdom of Mozambique, People's Republic of Myanmar Namibia Nauru, Republic of Nepal, Kingdom of Netherlands Antilles Netherlands, Kingdom of the New Caledonia New Zealand Nicaragua, Republic of Niger, Republic of the Nigeria, Federal Republic of Niue, Republic of Norfolk Island Northern Mariana Islands Norway, Kingdom of Oman, Sultanate of Pakistan, Islamic Republic of Palau Palestinian Territory, Occupied Panama, Republic of Papua New Guinea Paraguay, Republic of Peru, Republic of Philippines, Republic of the Pitcairn Island Poland, Polish People's Republic Portugal, Portuguese Republic Puerto Rico Qatar, State of Reunion Romania, Socialist Republic of Russian Federation Rwanda, Rwandese Republic Samoa, Independent State of San Marino, Republic of Sao Tome and Principe, Democratic Republic of Saudi Arabia, Kingdom of Senegal, Republic of Serbia and Montenegro Seychelles, Republic of Sierra Leone, Republic of Singapore, Republic of Slovakia (Slovak Republic) Slovenia Solomon Islands Somalia, Somali Republic South Africa, Republic of South Georgia and the South Sandwich Islands Spain, Spanish State Sri Lanka, Democratic Socialist Republic of St. Helena St. Kitts and Nevis St. Lucia St. Pierre and Miquelon St. Vincent and the Grenadines Sudan, Democratic Republic of the Suriname, Republic of Svalbard & Jan Mayen Islands Swaziland, Kingdom of Sweden, Kingdom of Switzerland, Swiss Confederation Syrian Arab Republic Taiwan, Province of China Tajikistan Tanzania, United Republic of Thailand, Kingdom of Timor-Leste, Democratic Republic of Togo, Togolese Republic Tokelau (Tokelau Islands) Tonga, Kingdom of Trinidad and Tobago, Republic of Tunisia, Republic of Turkey, Republic of Turkmenistan Turks and Caicos Islands Tuvalu Uganda, Republic of Ukraine United Arab Emirates United Kingdom of Great Britain & N. Ireland Uruguay, Eastern Republic of Uzbekistan Vanuatu Venezuela, Bolivarian Republic of Viet Nam, Socialist Republic of Wallis and Futuna Islands Western Sahara Yemen Zambia, Republic of Zimbabwe
More:
Posted in Artificial Intelligence
Comments Off on The Standard Names Porter Orr Second Vice President of Artificial Intelligence Strategy and Development – NRToday.com
Meet Nvidia CEO Jensen Huang, the man behind the $2 trillion company powering today’s artificial intelligence – CBS News
Posted: at 11:25 am
Read more here:
Posted in Artificial Intelligence
Comments Off on Meet Nvidia CEO Jensen Huang, the man behind the $2 trillion company powering today’s artificial intelligence – CBS News
This Warren Buffett Dividend King Stock Just Invested $1.1 Billion Into Artificial Intelligence (AI) – The Motley Fool
Posted: at 11:25 am
This Warren Buffett Dividend King Stock Just Invested $1.1 Billion Into Artificial Intelligence (AI) The Motley Fool
See the original post:
Posted in Artificial Intelligence
Comments Off on This Warren Buffett Dividend King Stock Just Invested $1.1 Billion Into Artificial Intelligence (AI) – The Motley Fool
Joe Rogan Reveals What Could Be ‘Game Over for the Human Race’ – Newsweek
Posted: at 11:25 am
Joe Rogan has warned that it will be "game over for the human race" should robot sex dolls become more convincingly human-like in their development.
The implications of advancing artificial intelligence (AI) has been a hot-button topic in recent years. In Hollywood, for example, everyone from actors to writers, production teams, and maybe even directors are seemingly at risk of being replaced by AI.
In January, the Concept Art Association and the Animation Guild surveyed 300 entertainment industry leaders and discovered that three-fourths expected AI to abolish, reduce or merge positions at their companies. Researchers estimated that approximately 204,000 jobs will be negatively impacted by the shift before 2026roughly 20 percent of industry roles.
During a recent episode of his podcast, Rogan went elsewhere in his own predictions as he discussed the possible impact of robot sex dolls on the human population.
Experts have previously predicted that robots will one day be so advanced they will have the ability to love and suffer. People have spoken of having relationships with AI-created personas but the current generation of so-called "sexbots," although uncannily lifelike in appearance, nevertheless are not sentient.
However, with technology constantly evolving, Rogan told his podcast guestswriter and stand-up comic Francis Foster and political commentator Konstantin Kisinthat he foresees a dip in human reproduction rates caused by sex robots.
"I think what's gonna get us is the robot sex dolls," Rogan told his guests. "In America, the amount of men that are single is very high. The amount of men that haven't had sex in over a year is very high. And there are a lot of people that are just locked into their computers, and they're just on their computer all the time, it's super, super common.
"If something came along that allowedwith these exponential increases in technologywhat you're seeing with these AI programs now, really stunning visuals that they can create in seconds. In minutes, they could have like a short film. It's crazy what they can do now.
"If they can do that with a physical moving object, like if they can get a real humanoid object that has perfect features and is your girlfriend and is warm and sweet and gives you everything you want from a human, it's game over. It's game over for the human race."
"Like, if I was artificial intelligence, I wouldn't kill everybody. I would just let them die off," the former Fear Factor host went on. "The most humane way to do it is to let them realize that they're unnecessary and there's no need to have kids when you can f*** your Jennifer Lopez robot and that's what they would do.
"They would just live with their robots and no one would have real relations anymore. It would go away so quick. Then they would start having robot babies so women that want kids, you'd just have a robot baby since you can't have a regular baby they'd just give you this baby. This baby will stay a baby forever," he said.
Newsweek is committed to challenging conventional wisdom and finding connections in the search for common ground.
Newsweek is committed to challenging conventional wisdom and finding connections in the search for common ground.
View original post here:
Joe Rogan Reveals What Could Be 'Game Over for the Human Race' - Newsweek
Posted in Artificial Intelligence
Comments Off on Joe Rogan Reveals What Could Be ‘Game Over for the Human Race’ – Newsweek
LegalTech Artificial Intelligence Market to Soar to $6.4 Billion by 2028: Global Long-term Forecast to 2033 – Strategic … – Yahoo Finance UK
Posted: at 11:25 am
LegalTech Artificial Intelligence Market to Soar to $6.4 Billion by 2028: Global Long-term Forecast to 2033 - Strategic ... Yahoo Finance UK
Originally posted here:
Posted in Artificial Intelligence
Comments Off on LegalTech Artificial Intelligence Market to Soar to $6.4 Billion by 2028: Global Long-term Forecast to 2033 – Strategic … – Yahoo Finance UK
CISA unveils guidelines for AI and critical infrastructure – FedScoop
Posted: at 11:25 am
The Cybersecurity and Infrastructure Security Agency on Monday released safety and security guidelines for critical infrastructure, a move that comes just days after the Department of Homeland Security announced the formation of a safety and security board focused on the same topic. The guidelines for critical infrastructure owners and operators also fulfills CISAs obligations under the Biden administrations October executive order on artificial intelligence.
The guidelines are meant to address both the opportunities made possible by artificial intelligence for critical infrastructure which spans 16 sectors, including farming and information technology and the ways it could be weaponized or misused. CISA instructs operators and owners of critical infrastructure to govern, map, measure, and manage their use of the technology, incorporating the National Institute of Standards and Technologys AI risk management framework.
Based on CISAs expertise as National Coordinator for critical infrastructure security and resilience, DHS Guidelines are the agencys first-of-its-kind cross-sector analysis of AI-specific risks to critical infrastructure sectors and will serve as a key tool to help owners and operators mitigate AI risk, CISA Director Jen Easterly in a statement.
The guidelines emphasize a range of steps, including understanding the dependencies of AI vendors that operators might be working with and inventorying AI use cases. They also encourage critical infrastructure owners to create procedures for reporting AI security risks and continually testing AI systems for vulnerabilities.
Opportunities related to AI span categories including operational awareness, customer service automation, physical security, and forecasting, according to the guidelines. At the same time, the new document also warns that AI risks to critical infrastructure could include attacks facilitated with AI, attacks aimed at AI systems, and failures in AI design and implementation, which could lead to potential malfunctions or other unintended consequences.
AI can present transformative solutions for U.S. critical infrastructure, and it also carries the risk of making those systems vulnerable in new ways to critical failures, physical attacks, and cyber attacks. Our Department is taking steps to identify and mitigate those threats, Homeland Security Secretary Alejandro Mayorkas said in a statement.
DHS has been especially active in recent months on artificial intelligence, most notably with the release of its AI roadmap in March. Earlier this month, the department announced that Office of Management and Budget alum Michael Boyce would lead its AI Corps, a group of 50 experts in the technology that the agency aims to hire through 2024. The department also brought on technology company executives including Sam Altman of OpenAI and Sundar Pichai from Alphabet to assist with its new board focused on AI and critical infrastructure.
Continue reading here:
CISA unveils guidelines for AI and critical infrastructure - FedScoop
Posted in Artificial Intelligence
Comments Off on CISA unveils guidelines for AI and critical infrastructure – FedScoop
Artificial Intelligence Tokens Stumble Again! Is The AI Hype Over? – Coinpedia Fintech News
Posted: at 11:25 am
The cryptocurrency industry continues to display a bearish price action, resulting in top tokens hovering close to their important support levels. Furthermore, the Artificial Intelligence (AI) category has recorded a significant correction of 3.53% in valuation within the past day.
Top AI tokens experience a strong rising bearish sentiment in their respective portfolio, indicating a negative outlook for these tokens in the coming time. Thinking of investing in AI tokens? In this article, we have covered the in-depth price forecasts of the top 4 AI tokens for this week.
The NEAR price had started the year positively by adding over 245% and achieving the $9 mark. However, it lost 30% in valuation. Since then, the Near Protocol price has repeatedly failed to break out of its important resistance level at $7.685, indicating a strong liquidation point for the AI leader at that level.
Moreover, the Near Protocol token has lost 6.83% within the past 24 hours and 1% over the past 30 days, indicating a weak price action. Positively, it has a Year-to-Date (YTD) return of 89.56% in value, indicating a positive outlook for this AI token in the long-term perspective.
The technical indicator, MACD, displays a constant decline in the green histogram, indicating weak buying and selling pressure for the altcoin in the crypto industry. Furthermore, the averages show a high possibility of a bearish convergence, suggesting a negative price action this week.
If the market pushes the price above the resistance level of $7.685, the bulls will regain momentum and prepare to test its upper resistance level of $9 during the upcoming weeks. However, bearish price action may pull the price toward its low of $6.225.
The RNDR price continues to display a neutral trend by trading in a closed range between $7.10 and $8.985 for about three weeks, indicating weak buying and selling pressure for the AI token in the crypto space.
Moreover, the Render price has lost 15% within the past seven days and 29.08% over the past 30 days, highlighting a bearish outlook for the altcoin during the upcoming week.
The Moving Average Convergence Divergence (MACD) shows a constant flatline in its 1D time frame chart, suggesting a weak price action for the RNDR token. Moreover, the averages display a bearish crossover, suggesting the price may continue losing value this week.
If the bulls regain momentum, the RNDR price will attempt to test its upper high of $8.98 by the coming weekend. Conversely, if the bears continue to dominate the market, it will plunge and test its lower support level of $7 in the coming time.
After recording a low of $0.1388 in February, the GRT price regained momentum and recorded a jump of 256.62% in value before facing rejection at the resistance level of $0.4950. After this, the bulls lost momentum, traded under a bearish influence, and recorded a correction of 53.23%.
Since then, The Graph price has been trading in a closed range between $0.2315 and $0.2950. Moreover, the EMA 50-day acts as a resistance to the price chart, indicating a strong bearish influence for the altcoin in the industry.
The MACD displays a constant decline in the green histogram, highlighting an increase in the selling pressure in the crypto space. Furthermore, the averages show a bearish convergence, indicating a negative outlook for the altcoin this week.
If the market experiences a bullish reversal in the chart, the GRT price will prepare to test its resistance level of $0.3550 in the coming time. Negatively, if the bears continue to dominate the market, it will plunge and test its crucial support level of $0.2315.
The Theta price constantly fails to break out of its resistance level at $2.430, indicating a liquidity point at that level. Moreover, the EMA 50-day acts as a resistance to the price chart, highlighting a strong bearish influence. The Theta Network token has recorded a correction of 23.17% over the past 30 days.
The technical indicator, MACD, shows a constant flatline in the chart with its averages displaying a high possibility of a bearish convergence, highlighting a weak buying and selling pressure for the THETA Network token in the cryptocurrency market.
If the bulls regain momentum, the Theta Network price will prepare to test its upper resistance level of $3.050 during the upcoming week. However, bearish price action may pull the price toward its lower support level of $1.800.
Also Check Out : Top AI Tokens To Maximize Your Profits This Week!
Excerpt from:
Artificial Intelligence Tokens Stumble Again! Is The AI Hype Over? - Coinpedia Fintech News
Posted in Artificial Intelligence
Comments Off on Artificial Intelligence Tokens Stumble Again! Is The AI Hype Over? – Coinpedia Fintech News
