New technology is changing the execution of AI applications.
Category: robotics/AI – Page 2,127
New Deep Learning Research Breaks Records In Image Recognition Ability Of Self-Driving Cars
People, bicycles, cars or road, sky, grass: Which pixels of an image represent distinct foreground persons or objects in front of a self-driving car, and which pixels represent background classes?
This task, known as panoptic segmentation, is a fundamental problem that has applications in numerous fields such as self-driving cars, robotics, augmented reality and even in biomedical image analysis.
At the Department of Computer Science at the University of Freiburg Dr. Abhinav Valada, Assistant Professor for Robot Learning and member of BrainLinks-BrainTools focuses on this research question. Valada and his team have developed the state-of-the-art “EfficientPS” artificial intelligence (AI) model that enables coherent recognition of visual scenes more quickly and effectively.
How this AI-powered auto-completer is helping developers write 25% less code
You might’ve seen people on the internet saying “it’s like my autocomplete gets me.” Indeed, Keyboard protection AI has come a long way so much so that it can almost complete your sentences. So, why shouldn’t developers get the benefit of auto-complete too?
For years, IDEs (Integrated Development Environment) have tried to make development quicker by predicting the next part of a developer’s code. Now, startups like Codota are using AI to help developers with code completion on any code editor.
NVIDIA Ships World’s Most Advanced AI System — NVIDIA DGX A100 — to Fight COVID-19; Third-Generation DGX Packs Record 5 Petaflops of AI Performance
Training, Inference, Data Analytics Unified on One Platform; Each System Configurable from One to 56 Independent GPUs to Deliver Elastic, Software-Defined Data Center Infrastructure.
GTC 2020 — NVIDIA today unveiled NVIDIA DGX™ A100, the third generation of the world’s most advanced AI system, delivering 5 petaflops of AI performance and consolidating the power and capabilities of an entire data center into a single flexible platform for the first time.
Can Human Minds Be Reduced to Computer Programs?
Selmer Bringsjord (right): … Proving things. Discovering things. I don’t think that even a hair’s width of these things have been simulated in computational and cognitive science and in AI.
I remember asking James Moor, the Dartmouth professor who’s written quite a bit on AI: “You know. Jim, you really are a true believer in this stuff but can you tell me how much time you’re willing to give these AI people?”
I mean, if we give them another thousand years, and we still don’t have cognition as I’ve characterized it, captured computationally with the relevant artifacts and outputs produced… Are you going to be skeptical now?
New 3D printer makes multi-material robots
This charming conical flask-carrying robot was created by a 3D printer capable of printing with multiple different materials, at a speed and level of detail that was previously impossible. And in the future it could have some, well, slightly more useful applications…
US defence agency targets Android privacy
US Defence Advanced Research Projects Agency (DARPA) researchers released a custom version of Android designed to simplify inclusion of stringent safeguards by app developers, in a bid to address concerns around data privacy.
The open-source Privacy Enhancements for Android (PE for Android) platform was built by teams at Two Six Labs and Raytheon BBN Technologies as part of DARPA’s privacy-focused Brandeis programme.
Brandeis programme manager Joshua Baron told Mobile World Live the platform aims to address a knowledge gap among app developers, which researchers found often aren’t familiar with “the expected privacy disclosures or regulations that may guide their application’s use”.
Network Interface Cards Application Software Embedded Computing
FastNICs seeks to improve network stack performance by 100x or more, and to accelerate distributed applications like training deep neural networks.