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Description
QED Science is an innovative AI enterprise dedicated to highlighting exceptional scientific work and honoring the researchers behind it. Committed to the principle that the quality of science should be evident on its own, QED Science has created a comprehensive array of AI tools designed to critically assess scientific outputs while minimizing the impact of author reputation, institutional standing, and publication outlets. Their advanced technology evaluates scientific claims individually and accomplishes this much more rapidly than conventional peer review processes.
The suite of features includes:
• Peer Review: Offers expert feedback aimed at refining your research drafts.
• Logic Check: Analyzes your arguments to identify any weaknesses or gaps in reasoning.
• Evidence Analysis: Assesses your data and references to verify the strength of your conclusions.
• Clarity Boost: Enhances your writing, simplifying complex concepts for better understanding.
• Methodology Audit: Reviews your research methods to ensure they are thorough and reliable.
• Collaboration Tools: Facilitates seamless communication among researchers to foster teamwork and enhance project outcomes.
Description
Zochi stands out as the first autonomous AI system capable of completing the entire scientific research cycle, ranging from formulating hypotheses to achieving peer-reviewed publication, while generating cutting-edge outcomes. In contrast to previous systems that were confined to specific, well-defined tasks, Zochi thrives in confronting research challenges that are at the cutting edge of artificial intelligence. The system's effectiveness is demonstrated through a series of peer-reviewed papers accepted at the ICLR 2025 workshops, highlighting Zochi's capacity to produce innovative and academically sound contributions. Furthermore, Zochi recognized a significant obstacle within the AI field: the issue of cross-skill interference during parameter-efficient fine-tuning. This problem arises when models are adapted for multiple tasks at once, leading to enhancements in one skill that may negatively impact others. To combat this challenge, Zochi introduced a novel approach called CS-ReFT (Compositional Subspace Representation Fine-tuning), which emphasizes the editing of representations instead of altering weights. This groundbreaking method has the potential to revolutionize how AI systems are fine-tuned for diverse applications.
API Access
Has API
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API Access
Has API
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Integrations
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Integrations
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Pricing Details
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Free Trial
No
Free Version
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Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
No
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
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
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Live Training (Online)
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In Person
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Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
QED Science
Founded
2025
Country
Israel
Website
www.qedscience.com
Vendor Details
Company Name
Intology
Founded
2025
Country
United States
Website
www.intology.ai/blog/zochi-tech-report
Product Features
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
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For Sales
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For eCommerce
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Image Recognition
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Machine Learning
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Multi-Language
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Natural Language Processing
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Predictive Analytics
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Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No