Category robotics

I’ve been looking forward to the first games using NVIDIA ACE for some time. NVIDIA ACE is the tool that creates AI NPCs, but its usefulness goes well beyond just games and into simulations and training where you want people, […]

The post NVIDIA ACE Comes to Market in Mecha BREAK, Opening the Door to Better Gaming and Training Tools appeared first on TechSpective.

A team of researchers has created a digital pathology platform based on artificial intelligence. The platform uses new algorithms developed by the team and enables fully automated analysis of tissue sections from lung cancer patients. The platform makes it possible to analyze digitized tissue samples on the computer for lung tumors more quickly and accurately than before.

Many organizations are under strict data security and governance guidelines, or have multi-cloud constraints, and thus can’t solely leverage cloud-hosted generative AI models. But that doesn’t stop these organizations from staying at the forefront of the AI and LLM revolution. DataRobot, when paired with Nutanix’s GPT-in-a-Box solution, delivers cutting-edge training and inference for predictive and generative models that can be deployed in hours while maintaining governance, compliance, observability, and most importantly, security. This entire turnkey solution can be deployed in an air-gapped environment anywhere in the world, even in the most secure or extreme locations. 

Announced at Nutanix .NEXT 2024 in Barcelona, this partnership combines streamlined data center operations and GPT-in-a-Box from Nutanix with the leading AI platform for governance from DataRobot. Together, Nutanix and DataRobot give enterprises the only full-stack offering in the market for achieving AI sovereignty, bringing the latest capabilities into a secure on-prem environment and giving organizations complete control over their data and their AI stack.

This means that companies with the highest security standards have a clear path past the biggest hurdles encountered when building an on-prem stack, resulting in faster time-to-market and higher ROI while delivering the  flexibility to adapt and keep up with innovation. 

Nutanix: Empowering Intelligent, Scalable Enterprises

Enterprise AI with Nutanix GPT–in-a-Box is a key solution to help customers deploy, manage, and adapt predictive and generative AI, allowing for a tailored AI strategy. Built on Nutanix Cloud Platform, this advanced edge-to-cloud infrastructure solution enables customers to run inference seamlessly and further integrate AI apps into their business processes using ready-to-use, pre-trained AI models.

Enterprises can also ensure their data is trustworthy,  resilient, and built on stringent ethics policies and data privacy standards. This unleashes  the responsible use of AI with the full transparency and compliance that empower  businesses to innovate confidently and sustainably.

Nutanix customers that leverage GPT-in-a-Box with the DataRobot AI Platform are realizing how simple it is to achieve their AI productivity goals. The scale and security of our combined solution is unmatched.

DataRobot: The Unified AI Platform for On-Prem, Cloud, and Hybrid Cloud

The DataRobot AI Platform is an open, complete AI lifecycle platform for predictive and generative AI that has broad interoperability and end-to-end capabilities to help organizations build, operate, and govern their entire AI stack. Built for enterprise-grade use, the DataRobot AI Platform can be deployed on-premises or in any cloud infrastructure. 

DataRobot streamlines and accelerates the process of building impactful AI apps and simplifies the process of monitoring those apps, no matter where they’re deployed. This enables  organizations to move past infrastructure problems and focus on solving business problems. DataRobot’s robust governance tools makes it easy to manage users, ensure models are safe before they’re deployed, and ensure complete regulatory compliance. 

We’re dedicated to helping our customers build, use, and manage AI safely. We’re excited to work with Nutanix to create the GPT-in-a-box solution, which will help organizations speed up their journey to AI value with enterprise-grade security, performance, and control. 

DataRobot & Nutanix: End-to-End Platform Experience

A growing number of organizations are adopting  on-premises data center or private cloud deployments as part of  their AI stack. 59% plan to run AI inference workloads on-prem or in private cloud demanding simplified, unified tooling:

• Streamlined Integration: AI stacks can take weeks — or even months — to properly ramp up, extending the time to ROI and distracting data science teams from more valuable work. Luckily, Nutanix and DataRobot have done the hard work to ensure that security-minded teams can set up their AI stack in days, significantly shortening the path to AI impact.   (Link to Nutanix + DataRobot TechNote)
• Total Data Privacy: Many organizations are turning to open source AI models and tools to ensure transparency for their enterprise AI efforts. Nutanix and DataRobot provide these models alongside enhanced data security, governance, and best practices for a transparent and highly secure approach to AI that meets the most stringent standards.
• End-to-End Experience: Eliminate tool sprawl, complicated licensing, and reduce silos with a complete turnkey enterprise AI solution. 

See DataRobot and Nutanix in Action

This demo share how Nutanix and DataRobot can help you:

✅ Deploy LLMs like NVIDIA NIM or Hugging Face

✅ Set up a GPU-powered endpoint

✅ Register that endpoint within DataRobot

✅ Evaluate and compare that LLM within DataRobot LLM Playground

✅ Deploy that model with guard models like NeMo Guardrails

✅ Set up comprehensive monitoring with DataRobot Console

Watch the demo now:

Bring AI Innovation to your On-Premises Environment

Schedule a demo with our expert data scientists to see how you can quickly stand up your AI stack and build AI apps that solve your most critical use cases in weeks, not months.

The post DataRobot and Nutanix Partner to Deliver Turnkey AI for On-Premises Deployments appeared first on DataRobot.

The demand for AI robots is driven by the need for automation and efficient data management across various industries. In manufacturing, AI robots are used to automate complex assembly lines, reducing labor costs and increasing productivity.

In the ever-evolving field of robotics, a groundbreaking approach has emerged, revolutionizing how robots perceive, navigate, and interact with their environments. This new frontier, known as brain-inspired navigation technology, integrates insights from neuroscience into robotics, offering enhanced capabilities and efficiency.

Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light

Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light

Non-living hydrogels can play the video game Pong and improve their gameplay with more experience, researchers report. The researchers hooked hydrogels up to a virtual game environment and then applied a feedback loop between the hydrogel's paddle -- encoded by the distribution of charged particles within the hydrogel -- and the ball's position -- encoded by electrical stimulation. With practice, the hydrogel's accuracy improved by up to 10%, resulting in longer rallies. The researchers say that this demonstrates the ability of non-living materials to use 'memory' to update their understanding of the environment, though more research is needed before it could be said that hydrogels can 'learn.'

In an innovative leap forward for workplace safety, a research team at Seoul National University has developed the Bilateral Back Extensor Exosuit (BBEX), a robotic back-support device designed to prevent spinal injuries and assist workers in heavy lifting tasks.

Robotic automation has become a game-changer in addressing labor shortages. While traditional rigid grippers have effectively automated various routine tasks, boosting efficiency and productivity in industries that deal with objects of well-defined specifications, they fall short in sectors like the food industry, where delicate objects of varying sizes and shapes need to be handled. In these cases, a more specialized type of gripper is required.

With omnidirectional movement and smart docking with virtually any warehouse cart in under 20 seconds, these new robots are making material handling faster and safer.

West Virginia University roboticists are working on an alternative path to robot autonomy in Loopy, a "multicellular robot" composed of a ring of individual interconnected robot cells.

A multidisciplinary research team based across China and Brazil has used a dog-like robot and AI to create a new way to find fire ant nests. Published in the journal Pest Management Science, the study highlights how a "CyberDog" robot integrated with an AI model can automate the identification and control of Red Imported Fire Ants (RIFA), a globally destructive pest.

An insect species that evolved 130 million years ago is the inspiration for a new research study to improve navigation systems in drones, robots, and orbiting satellites.

By processing vast amounts of data in real time, AI-driven robots can make intelligent decisions, optimize operations, and continuously improve over time. This advancement is redefining the way warehouses operate, offering enhanced productivity and reliability.