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Average Ratings 0 Ratings
Description
Gemini for Science enhances the process of scientific discovery by offering AI-driven tools and resources specifically designed to bolster scientific initiatives. By integrating experimental tools found in Google Labs with the science workflows offered through Google Antigravity, it aims to expedite research, improve analytical reasoning, and enable researchers to delve into the future of AI-enhanced scientific exploration. The Literature Insights feature compiles scholarly literature to uncover new research possibilities, produce well-founded research artifacts, and convert paper information into structured tables linked directly to original evidence. Meanwhile, Hypothesis Generation employs a multi-agent approach that emulates the scientific method, allowing it to pinpoint knowledge gaps, suggest viable research avenues, and outline testable research plans that could lead to significant breakthroughs. Additionally, Computational Discovery assists researchers in identifying models and algorithms through an intelligent research engine that creates and evaluates code variations according to user-specified optimization criteria, thereby streamlining the research process even further. Ultimately, these innovative tools collectively aim to revolutionize how scientific research is conducted and understood.
Description
Hydrogen-1.0 is a scientific language model with open weights, created by Deep Principle by post-training GLM-5.3 on a diverse range of data including chemistry, materials science, and life sciences, as well as laboratory notes and research paths. This model aims to assist researchers in tackling scientific inquiries, elucidating derivations, examining reaction pathways, interpreting spectra, designing experiments, and formulating material hypotheses. Among its demonstrations are scientific computing workflows, exploration of reaction networks, NMR structure analysis, planning of experiments, and discovery of materials. Users can access the model by downloading its weights from platforms like Hugging Face and ModelScope, using API access via NeuroSpark, or through Deep Principle's Mira AI Scientist. Moreover, Hydrogen-1.0 can be executed locally on suitable hardware and software configurations. It is essential for researchers to assess the model's outputs in light of pertinent evidence and scientific limitations, ensuring a responsible application in their work. Ultimately, Hydrogen-1.0 represents a significant advancement in making scientific research more efficient and accessible.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
CC
Yes
Conspecta
Yes
Gemini
Yes
Google Antigravity
Yes
Hugging Face
No
ModelScope
No
Integrations
CC
No
Conspecta
No
Gemini
No
Google Antigravity
No
Hugging Face
Yes
ModelScope
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Founded
1998
Country
United States
Website
ai.google/gemini-for-science/
Vendor Details
Company Name
Deep Principle
Founded
2024
Country
China
Website
blog.deepprinciple.com/introducing-hydrogen-1.0/