Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
We are developing Hivemind, an AI pilot that empowers swarms of drones and aircraft to function independently, without the need for GPS, communication systems, or direct human oversight. Our aim is to enhance the safety of both military personnel and civilians through advanced intelligent systems. Unlike simple pre-programmed behaviors and fixed waypoints, Hivemind mimics human pilots by interpreting and responding to the complexities of the battlefield, making real-time decisions without relying on GPS or prior instructions. This groundbreaking technology is the first fully autonomous AI pilot to be deployed in combat operations since 2018. Hivemind's capabilities extend from conducting indoor reconnaissance with quadcopters to facilitating coordinated air defense missions with fixed-wing drones and engaging in F-16 dogfights. As it learns and autonomously carries out a variety of missions, Hivemind represents a pioneering evolution in aerial warfare, ensuring sustained aerial superiority across land, air, and sea, especially in high-stakes tactical environments. This innovative approach marks a significant advancement in military technology and operational efficiency.
Description
NVIDIA Alpamayo 2 Super stands as a pioneering open model tailored for robotaxis and autonomous vehicles, designed to navigate rare and intricate driving scenarios while generating decisions that developers can analyze, verify, and rely upon. Utilizing the foundations of NVIDIA Cosmos 3 Super Reasoner and enhanced through reinforcement learning, it merges commercial accessibility with the ability to handle multiple tasks related to autonomous driving. The model comprehensively analyzes full-surround camera input, integrating perspectives from the front, sides, and rear to adeptly manage lane changes, merges, unprotected turns, and complex intersections. In addressing each driving scenario, it can produce a planned trajectory for the vehicle, a chain-of-causation that elucidates the decision-making process, a meta-action such as yielding or stopping, and reasoning auto-labels for both training and validation purposes, along with visual question-answering outputs anchored in specific image regions. These interconnected outputs facilitate the correlation between the model's observations and the actions it undertakes, thereby enhancing transparency in autonomous decision-making. Additionally, this functionality supports developers in refining and optimizing the model's performance in real-world applications.
API Access
Has API
API Access
Has API
Integrations
EquityZen
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
Shield AI
Founded
2015
Country
United States
Website
shield.ai/
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
nvidia.com
Product Features
Aviation
Accounting / Revenue Management
Aircraft Utilization
Boarding Management
CRM / Flight History
Check-in
Employee Management
Flight Crew Scheduling
Flight Scheduling / Dispatch
Fuel Management
Incident Reporting
Inspection Management
Inventory Management
Lot Costing / Leasing Management
Maintenance Management
Pilot Management
Point of Sale
Time Tracking
Website / Online Ticketing