AI is Revolutionizing the Gaming Industry
Artificial intelligence (AI) is having a significant impact on the gaming industry, improving non-playable characters (NPCs), online casinos, and console games through personalized experiences, dynamic storylines, and adaptive difficulty.
In gaming, AI is used to train NPCs to behave in a more human-like manner, reacting to their environment and making decisions based on player choices.
AI is also being used in online casinos to detect unusual behavior on user accounts and provide personalized game recommendations to players.
In console games, AI is creating personalized experiences by generating dynamic storylines and quests based on player actions, and adapting difficulty levels in real-time to match a player's skill level.
Additionally, AI is improving game visuals through technologies like AI upscaling, which converts lower-resolution images to high resolution, and ray tracing, which creates realistic lighting conditions.
@Ai_Events
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Artificial intelligence (AI) is having a significant impact on the gaming industry, improving non-playable characters (NPCs), online casinos, and console games through personalized experiences, dynamic storylines, and adaptive difficulty.
In gaming, AI is used to train NPCs to behave in a more human-like manner, reacting to their environment and making decisions based on player choices.
AI is also being used in online casinos to detect unusual behavior on user accounts and provide personalized game recommendations to players.
In console games, AI is creating personalized experiences by generating dynamic storylines and quests based on player actions, and adapting difficulty levels in real-time to match a player's skill level.
Additionally, AI is improving game visuals through technologies like AI upscaling, which converts lower-resolution images to high resolution, and ray tracing, which creates realistic lighting conditions.
@Ai_Events
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AI's Impact on User-Generated Content
AI's rise has disrupted the creator economy, enabling individuals to become self-publishers and independent producers of content. However, the emergence of generative AI threatens to alter the way new content is produced, as anyone can churn out text, images, audio, and video using simple prompts.Generative AI has already had an impact on various industries, including video game content generation, social media, and music. However, its effects on user-generated content are still unclear. There are three possible scenarios: AI-enhanced creativity, AI monopolizing creativity, and human creativity standing out.In the first scenario, AI-assisted innovation could lead to an explosion of creative outputs. In the second, AI could dominate content creation, potentially leading to a sterile and bland future. In the third, human creativity could outshine AI, driving a premium for original content.Ultimately, AI's impact on user-generated content will depend on whether humans can adapt and showcase their unique abilities to create original ideas.
@Ai_Events
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AI's rise has disrupted the creator economy, enabling individuals to become self-publishers and independent producers of content. However, the emergence of generative AI threatens to alter the way new content is produced, as anyone can churn out text, images, audio, and video using simple prompts.Generative AI has already had an impact on various industries, including video game content generation, social media, and music. However, its effects on user-generated content are still unclear. There are three possible scenarios: AI-enhanced creativity, AI monopolizing creativity, and human creativity standing out.In the first scenario, AI-assisted innovation could lead to an explosion of creative outputs. In the second, AI could dominate content creation, potentially leading to a sterile and bland future. In the third, human creativity could outshine AI, driving a premium for original content.Ultimately, AI's impact on user-generated content will depend on whether humans can adapt and showcase their unique abilities to create original ideas.
@Ai_Events
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The AI Revolution: Reshaping Data Centres and the Digital Landscape
Artificial intelligence is changing the world, projected to have a global market value of $2-4 trillion USD by 2030. AI has crept into every facet of our lives, transforming work and play.
The surge of AI is staggering, with ChatGPT reaching a million users in just five days. AI has a large appetite for data, requiring enormous computational power, especially considering its increasing demand.
Data centres are at the heart of AI's excitement, processing data, facilitating the flow of information, and remaining silent while completing tasks. AI demands three primary processors: GPU, CPU, and TPU.
Integrating AI into data centres presents challenges: power, connectivity, and cooling. AI is ever-emerging and evolving, requiring changes to regulation. Industries, including data centres, must keep up with these regulations.
The AI revolution is reshaping data centres and the digital landscape, with continuous development and mutual shaping of each other.
@Ai_Events
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Artificial intelligence is changing the world, projected to have a global market value of $2-4 trillion USD by 2030. AI has crept into every facet of our lives, transforming work and play.
The surge of AI is staggering, with ChatGPT reaching a million users in just five days. AI has a large appetite for data, requiring enormous computational power, especially considering its increasing demand.
Data centres are at the heart of AI's excitement, processing data, facilitating the flow of information, and remaining silent while completing tasks. AI demands three primary processors: GPU, CPU, and TPU.
Integrating AI into data centres presents challenges: power, connectivity, and cooling. AI is ever-emerging and evolving, requiring changes to regulation. Industries, including data centres, must keep up with these regulations.
The AI revolution is reshaping data centres and the digital landscape, with continuous development and mutual shaping of each other.
@Ai_Events
.
xAI Unveils Grok-2 to Challenge the AI Hierarchy
xAI has announced the release of Grok-2, a significant upgrade to its chatbot model, boasting improved capabilities in chat, coding, and reasoning. Grok-2 mini, a smaller version, is also available in beta.
The company claims Grok-2 has shown significant improvements in reasoning with retrieved content and tool use capabilities. Benchmark results show substantial improvements over Grok-1.5, excelling in areas such as graduate-level science knowledge, general knowledge, and maths competition problems.
Grok-2 features a redesigned interface and new features, with Premium and Premium+ subscribers having access to both Grok-2 and Grok-2 mini. xAI is launching an enterprise API platform later this month, offering enhanced security features, rich traffic statistics, and advanced billing analytics.
The AI landscape remains competitive, with ChatGPT-4o and Google's Gemini 1.5 leading the pack. xAI's rapid progress is attributed to a small team with high talent density. The company plans to roll out multimodal understanding as a core part of the Grok experience and halt the use of certain EU data for model training.
@Ai_Events
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xAI has announced the release of Grok-2, a significant upgrade to its chatbot model, boasting improved capabilities in chat, coding, and reasoning. Grok-2 mini, a smaller version, is also available in beta.
The company claims Grok-2 has shown significant improvements in reasoning with retrieved content and tool use capabilities. Benchmark results show substantial improvements over Grok-1.5, excelling in areas such as graduate-level science knowledge, general knowledge, and maths competition problems.
Grok-2 features a redesigned interface and new features, with Premium and Premium+ subscribers having access to both Grok-2 and Grok-2 mini. xAI is launching an enterprise API platform later this month, offering enhanced security features, rich traffic statistics, and advanced billing analytics.
The AI landscape remains competitive, with ChatGPT-4o and Google's Gemini 1.5 leading the pack. xAI's rapid progress is attributed to a small team with high talent density. The company plans to roll out multimodal understanding as a core part of the Grok experience and halt the use of certain EU data for model training.
@Ai_Events
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X suspends use of EU user data for AI chatbot training
The European Union has become the center of a data privacy controversy surrounding social media platform X. On August 8, an Irish court declared that X had agreed to suspend the use of all data belonging to European Union citizens, which had been gathered via the platform for the purpose of training the company's AI systems.
The initiative was prompted by complaints from the Data Protection Commission (DPC) of Ireland, the leading EU regulator for many large US tech companies that have their main offices in Ireland under EU law.
The DPC's order comes amid intensified scrutiny of AI development practices across the EU by tech giants. Recently, the regulatory body sought an order to restrain or suspend X's data processing activities on users for the development, training, and refinement of an AI system.
The situation clearly depicts the growing conflict or tension experienced by nearly all EU states between AI advances and ongoing data protection concerns.
X has not remained silent on the matter, and the company's Global Government Affairs account on X noted that the DPC's order was 'unwarranted, overbroad, and singles out X without any justification.'
@Ai_Events
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The European Union has become the center of a data privacy controversy surrounding social media platform X. On August 8, an Irish court declared that X had agreed to suspend the use of all data belonging to European Union citizens, which had been gathered via the platform for the purpose of training the company's AI systems.
The initiative was prompted by complaints from the Data Protection Commission (DPC) of Ireland, the leading EU regulator for many large US tech companies that have their main offices in Ireland under EU law.
The DPC's order comes amid intensified scrutiny of AI development practices across the EU by tech giants. Recently, the regulatory body sought an order to restrain or suspend X's data processing activities on users for the development, training, and refinement of an AI system.
The situation clearly depicts the growing conflict or tension experienced by nearly all EU states between AI advances and ongoing data protection concerns.
X has not remained silent on the matter, and the company's Global Government Affairs account on X noted that the DPC's order was 'unwarranted, overbroad, and singles out X without any justification.'
@Ai_Events
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SingularityNET Bets on Supercomputer Network to Deliver AGI
SingularityNET is betting on a network of powerful supercomputers to get us to Artificial General Intelligence (AGI), with the first one set to whir into action this September.
The goal is to host and train incredibly complex AI architectures required for AGI, including deep neural networks, vast language models, and systems that seamlessly weave together human behaviors like speech and movement with multimedia outputs.
The first supercomputer will be a Frankensteinian beast of cutting-edge hardware: Nvidia GPUs, AMD processors, Tenstorrent server racks – you name it, it's in there.
SingularityNET has developed OpenCog Hyperon, an open-source software framework specifically designed for AI systems, to manage the distributed network and its precious data.
The company is not keeping all this brainpower to itself, and users will purchase access to the supercomputer network with the AGIX token on blockchains like Ethereum and Cardano and contribute data to the collective pool—fuelling further AGI development.
@Ai_Events
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SingularityNET is betting on a network of powerful supercomputers to get us to Artificial General Intelligence (AGI), with the first one set to whir into action this September.
The goal is to host and train incredibly complex AI architectures required for AGI, including deep neural networks, vast language models, and systems that seamlessly weave together human behaviors like speech and movement with multimedia outputs.
The first supercomputer will be a Frankensteinian beast of cutting-edge hardware: Nvidia GPUs, AMD processors, Tenstorrent server racks – you name it, it's in there.
SingularityNET has developed OpenCog Hyperon, an open-source software framework specifically designed for AI systems, to manage the distributed network and its precious data.
The company is not keeping all this brainpower to itself, and users will purchase access to the supercomputer network with the AGIX token on blockchains like Ethereum and Cardano and contribute data to the collective pool—fuelling further AGI development.
@Ai_Events
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Procreate Rejects Generative AI, Citing Ethical Concerns
Procreate, a popular iPad illustration app, has announced that it will not incorporate generative AI into its software. This decision comes amid a growing backlash from the art community over the ethics of AI use in creative industries.
Procreate's CEO, James Cuda, has spoken out against generative AI, stating that it is 'ripping the humanity out of things' and 'steering us toward a barren future'. He believes that AI image synthesis models, often trained on content without consent, threaten the livelihood and authenticity of digital artists.
The debate over generative AI has intensified among artists and companies alike. While some, like Adobe, are experimenting with training AI models on licensed or public domain content, others remain skeptical about the long-term consequences of AI's influence on creativity.
Procreate's decision to reject generative AI is a bold stance in an industry where many are embracing the technology. However, the company believes that its products should be designed and developed with human creativity in mind, rather than relying on AI-generated content.
@Ai_Events
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Procreate, a popular iPad illustration app, has announced that it will not incorporate generative AI into its software. This decision comes amid a growing backlash from the art community over the ethics of AI use in creative industries.
Procreate's CEO, James Cuda, has spoken out against generative AI, stating that it is 'ripping the humanity out of things' and 'steering us toward a barren future'. He believes that AI image synthesis models, often trained on content without consent, threaten the livelihood and authenticity of digital artists.
The debate over generative AI has intensified among artists and companies alike. While some, like Adobe, are experimenting with training AI models on licensed or public domain content, others remain skeptical about the long-term consequences of AI's influence on creativity.
Procreate's decision to reject generative AI is a bold stance in an industry where many are embracing the technology. However, the company believes that its products should be designed and developed with human creativity in mind, rather than relying on AI-generated content.
@Ai_Events
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AI-Generated Political Content for Democrats
Stories about AI-generated political content often end in disaster, but some US political campaigns are embracing these tools despite concerns. US Federal Communications Commission has proposed mandatory disclosures for AI use in television and radio ads.
One such startup is BattlegroundAI, a Denver-based company that uses generative AI to create digital advertising copy at a rapid clip. It launched a private beta six weeks ago and a public beta just last week, with around 60 clients so far.
The company's interface allows users to select from popular language models and customize results by tone and creativity level. BattlegroundAI declined to provide examples of actual political ads created using its services, but WIRED tested the product by creating a campaign on the issue of media freedom.
BattlegroundAI offers only text generation, adhering to regulations around AI use in political ads. The company is well-suited for politics, built with those rules in mind. Democratic digital ad agency Uplift has been testing the BattlegroundAI beta and finds it helpful for idea generation.
@Ai_Events
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Stories about AI-generated political content often end in disaster, but some US political campaigns are embracing these tools despite concerns. US Federal Communications Commission has proposed mandatory disclosures for AI use in television and radio ads.
One such startup is BattlegroundAI, a Denver-based company that uses generative AI to create digital advertising copy at a rapid clip. It launched a private beta six weeks ago and a public beta just last week, with around 60 clients so far.
The company's interface allows users to select from popular language models and customize results by tone and creativity level. BattlegroundAI declined to provide examples of actual political ads created using its services, but WIRED tested the product by creating a campaign on the issue of media freedom.
BattlegroundAI offers only text generation, adhering to regulations around AI use in political ads. The company is well-suited for politics, built with those rules in mind. Democratic digital ad agency Uplift has been testing the BattlegroundAI beta and finds it helpful for idea generation.
@Ai_Events
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UBC Lab's AI Scientist Makes Breakthroughs in Open-Ended Learning
Researchers at the University of British Columbia's (UBC) AI lab have developed an AI scientist that can learn and invent novel ideas, marking an early step towards revolutionary AI capabilities.
The AI scientist, developed in collaboration with Oxford researchers and startup Sakana AI, demonstrates the potential of open-ended learning, where AI programs can explore and experiment to generate novel ideas.
While the current results are incremental, the technology has the potential to unlock capabilities that extend beyond what humans have shown AI programs.
Jeff Clune, the professor leading the UBC lab, admits that the ideas are not wildly creative, but they're 'pretty cool' and could lead to significant advancements in AI development.
The potential applications of this technology are vast, including the development of more powerful and reliable AI agents that can autonomously perform useful tasks on computers.
@Ai_Events
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Researchers at the University of British Columbia's (UBC) AI lab have developed an AI scientist that can learn and invent novel ideas, marking an early step towards revolutionary AI capabilities.
The AI scientist, developed in collaboration with Oxford researchers and startup Sakana AI, demonstrates the potential of open-ended learning, where AI programs can explore and experiment to generate novel ideas.
While the current results are incremental, the technology has the potential to unlock capabilities that extend beyond what humans have shown AI programs.
Jeff Clune, the professor leading the UBC lab, admits that the ideas are not wildly creative, but they're 'pretty cool' and could lead to significant advancements in AI development.
The potential applications of this technology are vast, including the development of more powerful and reliable AI agents that can autonomously perform useful tasks on computers.
@Ai_Events
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US Government Partners with AI Red-Teaming Effort to Evaluate Generative AI
At the 2023 Defcon hacker conference, prominent AI tech companies partnered with transparency groups to test generative AI platforms for weaknesses.
The exercise, supported by the US government, aimed to make these critical systems more transparent and accountable.
Humane Intelligence, an ethical AI assessment nonprofit, is taking this model further by inviting the public to participate in a nationwide red-teaming effort.
The online qualifier is open to developers and the general public and will take place as part of NIST's AI challenges.
Participants will evaluate AI office productivity software and identify potential biases and vulnerabilities, with the goal of expanding the capacity for rigorous testing of generative AI technologies.
@Ai_Events
.
At the 2023 Defcon hacker conference, prominent AI tech companies partnered with transparency groups to test generative AI platforms for weaknesses.
The exercise, supported by the US government, aimed to make these critical systems more transparent and accountable.
Humane Intelligence, an ethical AI assessment nonprofit, is taking this model further by inviting the public to participate in a nationwide red-teaming effort.
The online qualifier is open to developers and the general public and will take place as part of NIST's AI challenges.
Participants will evaluate AI office productivity software and identify potential biases and vulnerabilities, with the goal of expanding the capacity for rigorous testing of generative AI technologies.
@Ai_Events
.
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Open-Source AI Definition Aims to Promote Transparency
A new definition of open-source AI has been proposed, aiming to provide a clear standard for transparency and accessibility in AI systems.
The definition allows researchers to use, modify, and share AI models without restrictions, and seeks to standardize the transparency of training data, source code, and weights.
The previous lack of an open-source standard has been criticized, with some experts arguing that even seemingly open models from Meta and Google are not truly open due to restrictive licenses and non-disclosure of training data.
The new definition aims to address this issue and promote trust in AI models, ensuring that they are transparent and not misused.
Avijit Ghosh, an applied policy researcher at Hugging Face, noted that companies often misuse the term 'open-source' to make their models appear more trustworthy, and that the new definition seeks to prevent this deception.
@Ai_Events
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A new definition of open-source AI has been proposed, aiming to provide a clear standard for transparency and accessibility in AI systems.
The definition allows researchers to use, modify, and share AI models without restrictions, and seeks to standardize the transparency of training data, source code, and weights.
The previous lack of an open-source standard has been criticized, with some experts arguing that even seemingly open models from Meta and Google are not truly open due to restrictive licenses and non-disclosure of training data.
The new definition aims to address this issue and promote trust in AI models, ensuring that they are transparent and not misused.
Avijit Ghosh, an applied policy researcher at Hugging Face, noted that companies often misuse the term 'open-source' to make their models appear more trustworthy, and that the new definition seeks to prevent this deception.
@Ai_Events
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Durov says French authorities should have complained to Telegram, not detained him.
@Ai_Events | Source
@Ai_Events | Source
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✅ This Week's Presentation:
🔹 Title: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
🔸 Presenter: Arash Marioriyad
🌀 Abstract:
Diffusion models have achieved significant success in text-to-image generation.
However, alleviating the misalignment between text prompts and generated
images remains a challenging issue.
This presentation will focus
on two observed causes of misalignment: concept ignorance and concept
mis-mapping. To address these issues, we will discuss CoMat, an
end-to-end diffusion model fine-tuning strategy that uses an
image-to-text concept matching mechanism.
Using only 20K text
prompts to fine-tune SDXL, CoMat significantly outperforms the baseline
SDXL model on two text-to-image alignment benchmarks, achieving
state-of-the-art performance.
📄 Paper:
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
Session Details:
- 📅 Date: Sunday, 8 September 2024
- 🕒 Time: 3:30 - 5:00 PM (GMT+3:30)
- 🌐 Location: Online at vc.sharif.edu/ch/rohban
We look forward to your participation!
Source | @Ai_Events
🔹 Title: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
🔸 Presenter: Arash Marioriyad
🌀 Abstract:
Diffusion models have achieved significant success in text-to-image generation.
However, alleviating the misalignment between text prompts and generated
images remains a challenging issue.
This presentation will focus
on two observed causes of misalignment: concept ignorance and concept
mis-mapping. To address these issues, we will discuss CoMat, an
end-to-end diffusion model fine-tuning strategy that uses an
image-to-text concept matching mechanism.
Using only 20K text
prompts to fine-tune SDXL, CoMat significantly outperforms the baseline
SDXL model on two text-to-image alignment benchmarks, achieving
state-of-the-art performance.
📄 Paper:
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
Session Details:
- 📅 Date: Sunday, 8 September 2024
- 🕒 Time: 3:30 - 5:00 PM (GMT+3:30)
- 🌐 Location: Online at vc.sharif.edu/ch/rohban
We look forward to your participation!
Source | @Ai_Events
New AI Model Can Simulate ‘Super Mario Bros.’ After Watching Gameplay Footage
Researchers use MarioVGG model to generate Super Mario Bros. video with user inputs, showing potential for future game generation
Source | @Ai_Events
Researchers use MarioVGG model to generate Super Mario Bros. video with user inputs, showing potential for future game generation
Source | @Ai_Events
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فراخوان ارسال مقاله اولین کنفرانس بینالمللی یادگیری ماشین و کشف دانش
آخرین مهلت ارسال مقالات : ۳۰ مهر ماه ۱۴۰۳
Source | @Ai_Events
آخرین مهلت ارسال مقالات : ۳۰ مهر ماه ۱۴۰۳
Source | @Ai_Events
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A Model of the Universe
Johann Johannsson
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- کافکا، بیرون چه میبینی؟
(از پنجرهی پشت سرش به بیرون نگاه میکنم.)
+ درختها، آسمان و قدری ابر را میبینم؛ و چند پرنده روی شاخههای درخت.
- هیچ چیز غیر عادی نیست، درست؟
+ درست است.
- ولی اگر میدانستی فردا صبح، دیگر نمیتوانی اینها را ببینی، همه چیز ناگهان در نظرت جلوه میکرد و ارزشمند میشد، نه؟
•هاروکی موراکامی
@Ai_Events ❤
- کافکا، بیرون چه میبینی؟
(از پنجرهی پشت سرش به بیرون نگاه میکنم.)
+ درختها، آسمان و قدری ابر را میبینم؛ و چند پرنده روی شاخههای درخت.
- هیچ چیز غیر عادی نیست، درست؟
+ درست است.
- ولی اگر میدانستی فردا صبح، دیگر نمیتوانی اینها را ببینی، همه چیز ناگهان در نظرت جلوه میکرد و ارزشمند میشد، نه؟
•هاروکی موراکامی
@Ai_Events ❤
❤3👏2
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Florida-based Boardwalk Robotics just unveiled their first commercial humanoid robot, Alex, developed entirely in-house.
While legs are in the plans, Boardwalk is prioritizing advanced manipulation, considering many applications don't require legs for the robot to be useful.
Source | @Ai_events
While legs are in the plans, Boardwalk is prioritizing advanced manipulation, considering many applications don't require legs for the robot to be useful.
Source | @Ai_events
Could AI and Deepfakes Sway the US Election?
AI-generated deepfakes, including pornographic images and videos, are still rife and pose a significant threat to the 2024 election. Despite initial concerns, new legislation to address the issue has slowed down. Analysts warn that deepfakes are mainly used to target and harass women, with most political usage being localized.
Source | @Ai_Events
AI-generated deepfakes, including pornographic images and videos, are still rife and pose a significant threat to the 2024 election. Despite initial concerns, new legislation to address the issue has slowed down. Analysts warn that deepfakes are mainly used to target and harass women, with most political usage being localized.
Source | @Ai_Events
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Title: Synergies Between RL and LLMs
Presenter: Moein Salimi
The presentation will be based on the following paper:
▪️ The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models (https://arxiv.org/abs/2402.01874)
Date: Tuesday
Time: 3:30 - 5:00 PM
Location: Online at https://vc.sharif.edu/ch/rohban
For in-person attendance, please message me on Telegram at @alirezanobakht78
Source | @Ai_Events
Presenter: Moein Salimi
The presentation will be based on the following paper:
▪️ The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models (https://arxiv.org/abs/2402.01874)
Date: Tuesday
Time: 3:30 - 5:00 PM
Location: Online at https://vc.sharif.edu/ch/rohban
For in-person attendance, please message me on Telegram at @alirezanobakht78
Source | @Ai_Events