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.

In 2025, open-source pioneer Stability AI launched its enterprise-grade product, "Stability AI Solutions," marking its transition from open-source idealism to commercial reality.

"DeepSeek-OCR: Visual Compression Replaces Traditional Character Recognition" is now available on the "Tutorials" section of the HyperAI website (hyper.ai). Deploy and experience it with one click!

HyperAI has compiled a series of highly valuable and widely applicable tutorials and datasets from November 3rd to 7th, covering multiple fields such as real-time object detection, biomedicine, geosciences, and OCR.

A joint research team from Columbia University and Stanford University developed the Squidiff computational framework, which can predict transcriptomic responses in different cell types under differentiation induction, gene perturbation, and drug treatment.

A research team led by Professor David Baker from the University of Washington has developed PLACER, a graph neural network that can accurately generate the structures of various small organic molecules based on their atomic composition and bonding information.

Founded by three college dropouts who were only 22 years old, Mercor raised $350 million in Series C funding in less than three years. The company uses an AI-powered recruitment model to reduce the efficiency of traditional recruitment to the second level.

A joint team from ETH Zurich and other institutions proposed a deep learning framework called NOBLE, which is the first large-scale deep learning framework whose performance has been validated using experimental data from the human cerebral cortex.

Contains one-click deployment tutorial

Google DeepMind CEO Demis Hassabis graces the cover of Time magazine's TIME 100 list.

Liam Fedus, former vice president of OpenAI, is leading a team of over 20 elite scientists to dedicate themselves to "AI for Science".

The University of California has developed OmniCast, which can significantly alleviate the error accumulation problem of autoregressive methods, while also being able to learn weather dynamics beyond the initial conditions.

At 12:00 PM Eastern Time on October 28, NVIDIA's GTC conference was held for the first time in Washington, D.C., the political center of the United States. CEO Jensen Huang delivered a keynote speech at the conference, covering multiple fields such as telecommunications, quantum computing, AI factories, enterprise computing, and robotics, and discussed a new blueprint for leading in the fields of artificial intelligence infrastructure and innovation.

A research team from the IMDEA Materials Research Institute in Spain has launched the Reac-Discovery semi-autonomous digital platform, which provides innovative solutions for advanced catalytic reactors based on periodic open pore structures.

HyperAI has compiled a series of valuable and widely used tutorials and datasets for everyone from October 20th to 24th, covering a variety of fields such as biomedicine, HPC, mathematical reasoning, and text information extraction.

10.20-10.24 AI Paper Recommendations

MIT has collaborated with several institutions to launch BoltzGen, which replaces traditional discrete residue labels with geometric continuous representations to achieve joint training of protein folding and binder design.

Multiple teams at Google jointly proposed "Earth AI", which uses the Gemini-driven reasoning agent to achieve deep multi-model collaboration and multi-step joint reasoning, pushing Earth system research towards actionable global insights.

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.

In 2025, open-source pioneer Stability AI launched its enterprise-grade product, "Stability AI Solutions," marking its transition from open-source idealism to commercial reality.

"DeepSeek-OCR: Visual Compression Replaces Traditional Character Recognition" is now available on the "Tutorials" section of the HyperAI website (hyper.ai). Deploy and experience it with one click!

HyperAI has compiled a series of highly valuable and widely applicable tutorials and datasets from November 3rd to 7th, covering multiple fields such as real-time object detection, biomedicine, geosciences, and OCR.

A joint research team from Columbia University and Stanford University developed the Squidiff computational framework, which can predict transcriptomic responses in different cell types under differentiation induction, gene perturbation, and drug treatment.

A research team led by Professor David Baker from the University of Washington has developed PLACER, a graph neural network that can accurately generate the structures of various small organic molecules based on their atomic composition and bonding information.

Founded by three college dropouts who were only 22 years old, Mercor raised $350 million in Series C funding in less than three years. The company uses an AI-powered recruitment model to reduce the efficiency of traditional recruitment to the second level.

A joint team from ETH Zurich and other institutions proposed a deep learning framework called NOBLE, which is the first large-scale deep learning framework whose performance has been validated using experimental data from the human cerebral cortex.

Contains one-click deployment tutorial

Google DeepMind CEO Demis Hassabis graces the cover of Time magazine's TIME 100 list.

Liam Fedus, former vice president of OpenAI, is leading a team of over 20 elite scientists to dedicate themselves to "AI for Science".

The University of California has developed OmniCast, which can significantly alleviate the error accumulation problem of autoregressive methods, while also being able to learn weather dynamics beyond the initial conditions.

At 12:00 PM Eastern Time on October 28, NVIDIA's GTC conference was held for the first time in Washington, D.C., the political center of the United States. CEO Jensen Huang delivered a keynote speech at the conference, covering multiple fields such as telecommunications, quantum computing, AI factories, enterprise computing, and robotics, and discussed a new blueprint for leading in the fields of artificial intelligence infrastructure and innovation.

A research team from the IMDEA Materials Research Institute in Spain has launched the Reac-Discovery semi-autonomous digital platform, which provides innovative solutions for advanced catalytic reactors based on periodic open pore structures.

HyperAI has compiled a series of valuable and widely used tutorials and datasets for everyone from October 20th to 24th, covering a variety of fields such as biomedicine, HPC, mathematical reasoning, and text information extraction.

10.20-10.24 AI Paper Recommendations

MIT has collaborated with several institutions to launch BoltzGen, which replaces traditional discrete residue labels with geometric continuous representations to achieve joint training of protein folding and binder design.

Multiple teams at Google jointly proposed "Earth AI", which uses the Gemini-driven reasoning agent to achieve deep multi-model collaboration and multi-step joint reasoning, pushing Earth system research towards actionable global insights.