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Description
Each day, a diverse group of healthcare professionals including nurses, doctors, students, professors, and administrators turn to Ovid for the latest research, which encompasses contributions from more than 120 publishers and spans over 100 specialized fields. The New England Journal of Medicine (NEJM), recognized for its commitment to delivering exceptional research and vital information to clinical practice, serves as an invaluable resource for physicians by ensuring they remain current on advancements that affect their patients' care. A thorough peer-review and editing process is employed to assess manuscripts, guaranteeing their scientific validity, innovation, and significance. Available on Ovid®, NEJM showcases groundbreaking research, clinical perspectives, and medical advancements across more than 125 disciplines, all offered through a respected platform renowned for medical research. Additionally, the Ovid® Synthesis Clinical Evidence Manager provides a user-friendly cloud-based solution, boasting unmatched capabilities for literature search and review, further enhancing the research experience for healthcare professionals. This combination of resources empowers practitioners to stay informed and improves patient outcomes through evidence-based care.
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
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Wolters Kluwer
Country
United States
Website
www.wolterskluwer.com/en/solutions/ovid
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
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)