Month: January 2021

Bringing more gaming capabilities to millions more gamers, NVIDIA on Tuesday  announced more than 70 new laptops will feature GeForce RTX 30 Series Laptop GPUs and unveiled the NVIDIA GeForce RTX 3060 graphics card for desktops. All are powered by the award-winning NVIDIA Ampere GPU architecture, the second generation of RTX with enhanced Ray Tracing Read article >

The post NVIDIA Introduces GeForce RTX 30 Series Laptops, RTX 3060 Graphics Cards, New RTX Games & Features in Special Event appeared first on The Official NVIDIA Blog.

input = keras.Input() conv = layers.Conv2D()(input) flatten = layers.Flatten()(conv) dense = layers.Dense()(flatten) out = layers.Dense()(dense) model = keras.Model(inputs=input, outputs=out) model.compile() 

new_model = keras.Model(inputs=input, outputs=conv) 

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A new era of laptops begins today featuring the NVIDIA Ampere architecture, with the launch of 70+ models powered by GeForce® RTX™ 30 Series Laptop GPUs.

NVIDIA today announced that it is bringing the NVIDIA Ampere architecture to millions more PC gamers with the new GeForce® RTX™ 3060 GPU.

Viet Anh Nguyen was awarded the Jetson Project of the Month for his Advanced Driver Assistance System (ADAS). This prototype, which runs on a NVIDIA Jetson Nano, aids a driver with collision, lane departure and speeding warnings.

Viet Anh Nguyen was awarded the Jetson Project of the Month for his Advanced Driver Assistance System (ADAS). This prototype, which runs on a NVIDIA Jetson Nano, aids a driver with collision, lane departure and speeding warnings. 

Viet Anh’s goal is to serve the low-end and older car models with his solution. He chose Jetson Nano for its affordability and its capability to run deep learning models. In addition, his prototype has an LCD screen for the user to interact and a speaker to convey warning messages. The core AI functionality is implemented in two modules – “Object Detection” module for collision and speeding warnings, and “Lane Detection” module for lane departure warnings. 

CenterNet, trained on Berkeley DeepDrive Dataset, is used for the main object detection. Viet Anh evaluated the model on Resnet-18 and MobileNet backbones. He chose the CenterNet model with ResNet-18 backbone, optimized with NVIDIA TensorRT, for its balance between speed and accuracy on Jetson Nano with an inference time of 62 ms per frame. For speeding warnings, the output of the object detection model is fed to a ResNet-18 network, which then identifies the traffic signs.

In the ‘Lane Detection’ module, a modified U-Net model was trained using the Mapillary Vista Dataset. After optimizing the model using TensorRT, he was able to achieve 14FPS on Jetson Nano for a 384×384 image with FP16 precision. In the below demonstration, the prototype can be seen working on pre-recorded videos and in the CARLA simulator. 

Prototype solutions such as ‘ADAS on Jetson Nano’ enable developers to build comprehensive yet low-cost solutions for the ADAS aftermarket category.

Viet Anh has done a great job documenting his journey to build this prototype in a series of blogs (Part 1 – Background and system design, Part 2 -Software design and Part 3 – Machine Learning (DNNs)) and has shared the code here.

Kick off 2021 with a listen to the newest episode of RAPIDSFire: the Accelerated Data Science Podcast!

Kick off 2021 with a listen to the newest episode of RAPIDSFire: the Accelerated Data Science Podcast! 

Host Paul Mahler sits down with AI Infrastructure Manager at NVIDIA, Bartley Richardson, and Senior Cybersecurity Data Scientist at NVIDIA, Rachel Allen.

In this episode, they discuss the intersection of Data Science and Cybersecurity, specifically, how NVIDIA GPUs are helping solve problems that have plagued experts in the cybersecurity space for years. 

Log files generated by various systems in a company’s infrastructure can leave traces of attacks a data scientist can turn into actionable insight. The problem, historically, has been that logs do not conform to any standard format and the relevant information can be difficult to extract.

Traditionally, this has been done through regular expressions. Bartley and Rachel discuss how their extension of the BERT model, cyBERT, turns logs into usable data faster and more efficiently than was previously possible.

They also discuss the ready-made cybersecurity pipeline available in the RAPIDS CLX GitHub repo, super-fast GPU tokenization for NLP applications, and what the future holds for the RAPIDS CLX team. 

This podcast is a great way for anyone in the data science, NLP, or cybersecurity spaces to begin the work year inspired and engaged. Listen to the latest episode here. 

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We’re at a pivotal moment to unlock a new, AI-accelerated era of discovery and medicine, says Kimberly Powell, NVIDIA’s vice president of healthcare. Speaking today at the J.P. Morgan Healthcare conference, held virtually, Powell outlined how AI and accelerated computing are enabling scientists to take advantage of the boom in biomedical data to power faster Read article >

The post AI, Computational Advances Ring In New Era for Healthcare appeared first on The Official NVIDIA Blog.