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Google Titans AI Architecture Unveiled With Ability to Solve Long-Term Memory Issues in AI Models
Google researchers unveiled a new artificial intelligence (AI) architecture last week that can enable large language models (LLMs) to remember the long-term context of events and topics. A paper was published by the Mountain View-based tech giant on the topic, and the researchers claim that AI models trained using this architecture displayed a more...
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AI Companies Are Turning To Synthetic Data, But There's A Hidden Cost
When genuine data does run out, it will present a major problem for both developers and users of AI. It will force tech companies to depend more heavily on data generated by AI, known as "synthetic data".
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Meta CEO Mark Zuckerberg Allegedly Permitted Llama AI Models’ Training on Copyrighted Materials
Meta is facing a copyright lawsuit over allegedly using copyrighted works to train its artificial intelligence (AI) models. The lawsuit was filed by multiple complainants that also include several bestselling authors. The primary allegation against the tech giant is that it used pirated e-books and articles to train the older versions of its Llama ...
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Nvidia Cosmos AI Platform to Train and Develop Autonomous Vehicles and Robots Launched at CES 2025
Nvidia launched Cosmos, a new artificial intelligence platform that contains multiple generative world foundation models (WFMs), on Monday at the Consumer Electronics Show (CES) 2025. The platform does not only contain these AI models but also include advanced tokenisers, accelerated video processing pipeline, and guardrails that enable the platfor...
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Microsoft to Invest in Data Centre Infrastructure, Global Accessibility and AI Skilling in 2025
Microsoft shared its artificial intelligence (AI) vision for the fiscal year 2025, highlighting the key areas for the company. Instead of focusing on its AI product roadmap, the company shared details about its investment plans in AI infrastructure, skilling, and developing accessibility of the technology globally. Among other efforts, the Redmond-...
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Microsoft Plans to Invest $80 Billion on AI-Enabled Data Centres in Fiscal 2025
Microsoft plans to invest approximately $80 billion in data centres in fiscal 2025, as part of the company's efforts to train AI models and deploy AI and cloud applications. Since OpenAI's ChatGPT launch in 2022, AI investment has surged, with companies integrating AI into their products and services across various sectors.
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Patent Suggests Nintendo Working on DLSS-Style AI Upscaling Technology Ahead of Nintendo Switch 2 Launch
A patent filed by Nintendo in the United States in July suggests the company has been working on an image upscaling technology, similar to Nvidia’s DLSS technology. The US patent, published Tuesday, details a computer technology for “converting images through the use of trained neural network,” where a source image is enhanced with contextual...
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OpenAI’s AI Training Opt-Out Tool for Creators Not Releasing Anytime Soon: Report
OpenAI, in May, announced a new machine learning (ML) tool that could enable creators to specify whether they wanted OpenAI to train its artificial intelligence (AI) models on their content or not. Dubbed Media Manager, the tool was said to identify copyrighted text, images, audio, and videos across multiple sources and could reflect creators’ pr...
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AgiBot Robotics Firm Open Sources Massive Dataset to Train Humanoid Robots
AgiBot, a Chinese artificial intelligence (AI) and robotics firm open-sourced a massive dataset containing high-quality data on training humanoid robots on Monday. Dubbed AgiBot World Alpha, the dataset is said to be collected from more than 100 robots in real-life scenarios. The company stated that this dataset can help researchers and developers ...
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Aitomatic and AI Alliance Unveil SemiKong Open Source AI Model Focused on Semiconductors
Aitomatic and the other collaborators under the Foundation Models workgroup of the AI Alliance unveiled a new semiconductor-focused artificial intelligence (AI) model earlier this month. Dubbed SemiKong, the large language model (LLM) is built on the domain-expert agents (DXA) architecture and has been trained on high-quality data about the industr...
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Nvidia Is Reportedly Focusing on Embodied AI and Robotics Amid Rising Competition in AI Chips Market
Nvidia is reportedly shifting its focus from artificial intelligence (AI) chipsets to robotics and embodied AI. As per the report, the Santa Clara-based tech giant is looking to provide processing capabilities and training for robots due to the rising competition in the AI hardware space. Notably, recently an Nvidia executive highlighted that the c...
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OpenAI’s GPT-5 Development Has Reportedly Suffered a Data Shortage Setback
OpenAI is reportedly behind schedule with its GPT-5 development. As per the report, the AI firm has hit several roadblocks in taking the successor to GPT-4 to the desired level of capability, including training data shortage and the requirement of massive funds. The artificial intelligence (AI) model is said to be under development for more than 18...
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Nvidia Executive Claims AI-Powered Robots in the Future Will Be Trained on Simulation, Share a Hive Mind
Nvidia’s Senior Research Manager and Lead of the Embodied AI division Generalist Embodied Agent Research (GEAR) Lab, Jim Fan, highlighted how artificial intelligence (AI) robots in the future could be trained and function. The executive claimed that soon embodied AI agents will be born in simulation where they will learn and gain expertise in spe...
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Hugging Face Showcases How Test-Time Compute Scaling Can Help SLMs Outperform Larger AI Models
Hugging Face shared a new case study last week showcasing how small language models (SLMs) can outperform larger models. In the post, the platform’s researchers claimed that instead of increasing the training time of artificial intelligence (AI) models, focusing on the test-time compute can show enhanced results for AI models.
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Ukraine Collects Vast War Data Trove To Train AI Models
AI has been deployed by both sides on the battlefield during Russia's invasion of Ukraine to identify targets, scanning images far quicker than a human can.
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Google Titans AI Architecture Unveiled With Ability to Solve Long-Term Memory Issues in AI Models
Google researchers unveiled a new artificial intelligence (AI) architecture last week that can enable large language models (LLMs) to remember the long-term context of events and topics. A paper was published by the Mountain View-based tech giant on the topic, and the researchers claim that AI models trained using this architecture displayed a more...
-
AI Companies Are Turning To Synthetic Data, But There's A Hidden Cost
When genuine data does run out, it will present a major problem for both developers and users of AI. It will force tech companies to depend more heavily on data generated by AI, known as "synthetic data".
-
Meta CEO Mark Zuckerberg Allegedly Permitted Llama AI Models’ Training on Copyrighted Materials
Meta is facing a copyright lawsuit over allegedly using copyrighted works to train its artificial intelligence (AI) models. The lawsuit was filed by multiple complainants that also include several bestselling authors. The primary allegation against the tech giant is that it used pirated e-books and articles to train the older versions of its Llama ...
-
Nvidia Cosmos AI Platform to Train and Develop Autonomous Vehicles and Robots Launched at CES 2025
Nvidia launched Cosmos, a new artificial intelligence platform that contains multiple generative world foundation models (WFMs), on Monday at the Consumer Electronics Show (CES) 2025. The platform does not only contain these AI models but also include advanced tokenisers, accelerated video processing pipeline, and guardrails that enable the platfor...
-
Microsoft to Invest in Data Centre Infrastructure, Global Accessibility and AI Skilling in 2025
Microsoft shared its artificial intelligence (AI) vision for the fiscal year 2025, highlighting the key areas for the company. Instead of focusing on its AI product roadmap, the company shared details about its investment plans in AI infrastructure, skilling, and developing accessibility of the technology globally. Among other efforts, the Redmond-...
-
Microsoft Plans to Invest $80 Billion on AI-Enabled Data Centres in Fiscal 2025
Microsoft plans to invest approximately $80 billion in data centres in fiscal 2025, as part of the company's efforts to train AI models and deploy AI and cloud applications. Since OpenAI's ChatGPT launch in 2022, AI investment has surged, with companies integrating AI into their products and services across various sectors.
-
Patent Suggests Nintendo Working on DLSS-Style AI Upscaling Technology Ahead of Nintendo Switch 2 Launch
A patent filed by Nintendo in the United States in July suggests the company has been working on an image upscaling technology, similar to Nvidia’s DLSS technology. The US patent, published Tuesday, details a computer technology for “converting images through the use of trained neural network,” where a source image is enhanced with contextual...
-
OpenAI’s AI Training Opt-Out Tool for Creators Not Releasing Anytime Soon: Report
OpenAI, in May, announced a new machine learning (ML) tool that could enable creators to specify whether they wanted OpenAI to train its artificial intelligence (AI) models on their content or not. Dubbed Media Manager, the tool was said to identify copyrighted text, images, audio, and videos across multiple sources and could reflect creators’ pr...
-
AgiBot Robotics Firm Open Sources Massive Dataset to Train Humanoid Robots
AgiBot, a Chinese artificial intelligence (AI) and robotics firm open-sourced a massive dataset containing high-quality data on training humanoid robots on Monday. Dubbed AgiBot World Alpha, the dataset is said to be collected from more than 100 robots in real-life scenarios. The company stated that this dataset can help researchers and developers ...
-
Aitomatic and AI Alliance Unveil SemiKong Open Source AI Model Focused on Semiconductors
Aitomatic and the other collaborators under the Foundation Models workgroup of the AI Alliance unveiled a new semiconductor-focused artificial intelligence (AI) model earlier this month. Dubbed SemiKong, the large language model (LLM) is built on the domain-expert agents (DXA) architecture and has been trained on high-quality data about the industr...
-
Nvidia Is Reportedly Focusing on Embodied AI and Robotics Amid Rising Competition in AI Chips Market
Nvidia is reportedly shifting its focus from artificial intelligence (AI) chipsets to robotics and embodied AI. As per the report, the Santa Clara-based tech giant is looking to provide processing capabilities and training for robots due to the rising competition in the AI hardware space. Notably, recently an Nvidia executive highlighted that the c...
-
OpenAI’s GPT-5 Development Has Reportedly Suffered a Data Shortage Setback
OpenAI is reportedly behind schedule with its GPT-5 development. As per the report, the AI firm has hit several roadblocks in taking the successor to GPT-4 to the desired level of capability, including training data shortage and the requirement of massive funds. The artificial intelligence (AI) model is said to be under development for more than 18...
-
Nvidia Executive Claims AI-Powered Robots in the Future Will Be Trained on Simulation, Share a Hive Mind
Nvidia’s Senior Research Manager and Lead of the Embodied AI division Generalist Embodied Agent Research (GEAR) Lab, Jim Fan, highlighted how artificial intelligence (AI) robots in the future could be trained and function. The executive claimed that soon embodied AI agents will be born in simulation where they will learn and gain expertise in spe...
-
Hugging Face Showcases How Test-Time Compute Scaling Can Help SLMs Outperform Larger AI Models
Hugging Face shared a new case study last week showcasing how small language models (SLMs) can outperform larger models. In the post, the platform’s researchers claimed that instead of increasing the training time of artificial intelligence (AI) models, focusing on the test-time compute can show enhanced results for AI models.
-
Ukraine Collects Vast War Data Trove To Train AI Models
AI has been deployed by both sides on the battlefield during Russia's invasion of Ukraine to identify targets, scanning images far quicker than a human can.
