HyperAI has compiled a series of highly valuable and widely applicable tutorials and datasets from December 8th to 12th, covering multiple fields such as intelligent agents, computer vision, and TTS.

The PET-MAD model, proposed by the Swiss Federal Institute of Technology in Lausanne (EPFL), achieves accuracy comparable to dedicated models while using a much smaller number of training samples than traditional models.

HyperAI Pro is officially launched!

The 8th Meet AI Compiler technical salon will be held on December 27th at Shanghai Innovation Academy.

HyperAI has compiled a series of highly valuable and widely applicable tutorials and datasets from November 17th to 21st, covering multiple fields such as video generation, image editing, and OCR.

Meituan has open-sourced its latest video generation model, LongCat-Video, which aims to handle various video generation tasks through a unified architecture, including text-to-video, image-to-video, and video continuation.

Selected AI Papers (December 8-12)

HyperAI, as a co-organizing community of COSCon'25, hosted the "Industry-Research Open Source Collaboration Forum" on December 7th. This article is a summary of the key points from the in-depth presentations by four speakers.

A cross-disciplinary team, including the Carnegie Institution for Science in the United States, has refined a "technology fusion" solution combining pyrolysis gas chromatography-mass spectrometry and supervised machine learning, which can capture ancient traces of life in chaotic molecular fragments.

The "SAM3: Visual Segmentation Model" is now available on the HyperAI website (hyper.ai) in the "Tutorials" section. Deploy and experience it with one click!

HyperAI has compiled a series of highly valuable and widely applicable tutorials and datasets from November 17th to 21st, covering multiple fields such as computer vision, biology, and multimodal computing.

In 2025, xAI gained unprecedented capital momentum under Musk's strong impetus, but its commercialization still heavily relied on the X and Tesla ecosystems, and cash flow and regulatory pressure rose simultaneously.

In an era where it's difficult to distinguish between genuine and fake AI, Sam Altman and Alex Blania are building a global "human verification" system using iris recognition, but the expansion of Tools for Humanity is facing heavy pressure.

A team comprised of researchers from Stanford University and other institutions has developed a data-driven workflow for identifying quasars that act as strong gravitational lensing objects in the spectral data of DESI DR1.

"FLUX.2-dev: Image Generation and Editing Model" is now available on the HyperAI website (hyper.ai) tutorial section. Come and start your creative journey!

HyperAI has compiled a series of highly valuable and widely applicable tutorials and datasets from November 24th to 28th, covering multiple fields such as 3D models, biomedicine, and visual reasoning.

A team comprised of Peptone, a UK-based protein analysis technology developer, NVIDIA, MIT, and others has made two key breakthroughs. The first is the PeptoneBench system evaluation framework, and the second is the generative model PepTron.

AI Paper Recommendations (November 24-28)

Looking at Hock Tan's resume, "mergers and acquisitions" is an absolutely unavoidable topic. Every move he makes, in addition to calculating profits and revenue, is also gradually bringing his company to a core position.

The winners of the Best Paper Award and Runner-up Paper Award at NeurIPS 2025 have been announced! Let's learn together!

Teams from more than ten research institutions around the world, including the University of California, Berkeley, the University of Cambridge, and the University of Oxford, have collaborated to launch AION-1, the first large-scale multimodal fundamental model family for astronomy.

A research team from the University of Cambridge in the UK has proposed CytoDiffusion, a blood cell image classification method based on a diffusion model. It can faithfully model the morphological distribution of blood cells and achieve accurate classification.

AI Paper Recommendations (November 17-21)

In the spring of 2025, Fei-Fei Li was awarded the Queen Elizabeth Engineering Prize in recognition of her foundational contributions to the fields of computer vision and deep learning.

A research team from the University of Toronto and the Clean Energy Innovation Research Centre of the National Research Council of Canada proposed MOF-ChemUnity: a structured, scalable, and extensible knowledge graph.

A joint team comprised of the University of Maine, Google, and Harvard University proposed the "Spherical Harmonic Dirac Function (SHDD)" and its integrated framework, LocDiff.

"One-click deployment of Yolov13" is now available on the "Tutorials" section of the HyperAI website. Simply upload an image to instantly receive accurate target recognition feedback. Give it a try!

Sakana AI, founded by Llion Jones, one of the authors of the Transformer paper, has launched the world's first "AI scientist," capable of autonomously proposing research questions, designing experiments, and writing papers, causing a stir in the global scientific community.

Startup Lila Sciences announced the completion of a new funding round, raising $350 million in its Series A funding and bringing its total funding to $550 million. This injection of funds officially makes it a unicorn.

A team from MIT, the University of Wisconsin-Madison, and others has proposed a method called AutoSciDACT, which can be used to automate the detection of "new discoveries" in scientific data, thereby simplifying scientific inquiry.

HyperAI has compiled a series of highly valuable and widely applicable tutorials and datasets from December 8th to 12th, covering multiple fields such as intelligent agents, computer vision, and TTS.

The PET-MAD model, proposed by the Swiss Federal Institute of Technology in Lausanne (EPFL), achieves accuracy comparable to dedicated models while using a much smaller number of training samples than traditional models.

HyperAI Pro is officially launched!

The 8th Meet AI Compiler technical salon will be held on December 27th at Shanghai Innovation Academy.

HyperAI has compiled a series of highly valuable and widely applicable tutorials and datasets from November 17th to 21st, covering multiple fields such as video generation, image editing, and OCR.

Meituan has open-sourced its latest video generation model, LongCat-Video, which aims to handle various video generation tasks through a unified architecture, including text-to-video, image-to-video, and video continuation.

Selected AI Papers (December 8-12)

HyperAI, as a co-organizing community of COSCon'25, hosted the "Industry-Research Open Source Collaboration Forum" on December 7th. This article is a summary of the key points from the in-depth presentations by four speakers.

A cross-disciplinary team, including the Carnegie Institution for Science in the United States, has refined a "technology fusion" solution combining pyrolysis gas chromatography-mass spectrometry and supervised machine learning, which can capture ancient traces of life in chaotic molecular fragments.

The "SAM3: Visual Segmentation Model" is now available on the HyperAI website (hyper.ai) in the "Tutorials" section. Deploy and experience it with one click!

HyperAI has compiled a series of highly valuable and widely applicable tutorials and datasets from November 17th to 21st, covering multiple fields such as computer vision, biology, and multimodal computing.

In 2025, xAI gained unprecedented capital momentum under Musk's strong impetus, but its commercialization still heavily relied on the X and Tesla ecosystems, and cash flow and regulatory pressure rose simultaneously.

In an era where it's difficult to distinguish between genuine and fake AI, Sam Altman and Alex Blania are building a global "human verification" system using iris recognition, but the expansion of Tools for Humanity is facing heavy pressure.

A team comprised of researchers from Stanford University and other institutions has developed a data-driven workflow for identifying quasars that act as strong gravitational lensing objects in the spectral data of DESI DR1.

"FLUX.2-dev: Image Generation and Editing Model" is now available on the HyperAI website (hyper.ai) tutorial section. Come and start your creative journey!

HyperAI has compiled a series of highly valuable and widely applicable tutorials and datasets from November 24th to 28th, covering multiple fields such as 3D models, biomedicine, and visual reasoning.

A team comprised of Peptone, a UK-based protein analysis technology developer, NVIDIA, MIT, and others has made two key breakthroughs. The first is the PeptoneBench system evaluation framework, and the second is the generative model PepTron.

AI Paper Recommendations (November 24-28)

Looking at Hock Tan's resume, "mergers and acquisitions" is an absolutely unavoidable topic. Every move he makes, in addition to calculating profits and revenue, is also gradually bringing his company to a core position.

The winners of the Best Paper Award and Runner-up Paper Award at NeurIPS 2025 have been announced! Let's learn together!

Teams from more than ten research institutions around the world, including the University of California, Berkeley, the University of Cambridge, and the University of Oxford, have collaborated to launch AION-1, the first large-scale multimodal fundamental model family for astronomy.

A research team from the University of Cambridge in the UK has proposed CytoDiffusion, a blood cell image classification method based on a diffusion model. It can faithfully model the morphological distribution of blood cells and achieve accurate classification.

AI Paper Recommendations (November 17-21)

In the spring of 2025, Fei-Fei Li was awarded the Queen Elizabeth Engineering Prize in recognition of her foundational contributions to the fields of computer vision and deep learning.

A research team from the University of Toronto and the Clean Energy Innovation Research Centre of the National Research Council of Canada proposed MOF-ChemUnity: a structured, scalable, and extensible knowledge graph.

A joint team comprised of the University of Maine, Google, and Harvard University proposed the "Spherical Harmonic Dirac Function (SHDD)" and its integrated framework, LocDiff.

"One-click deployment of Yolov13" is now available on the "Tutorials" section of the HyperAI website. Simply upload an image to instantly receive accurate target recognition feedback. Give it a try!

Sakana AI, founded by Llion Jones, one of the authors of the Transformer paper, has launched the world's first "AI scientist," capable of autonomously proposing research questions, designing experiments, and writing papers, causing a stir in the global scientific community.

Startup Lila Sciences announced the completion of a new funding round, raising $350 million in its Series A funding and bringing its total funding to $550 million. This injection of funds officially makes it a unicorn.

A team from MIT, the University of Wisconsin-Madison, and others has proposed a method called AutoSciDACT, which can be used to automate the detection of "new discoveries" in scientific data, thereby simplifying scientific inquiry.