Lifeboat Foundation

Autonomous driving has been one of the fundamental pillars of Tesla’s push to electrify transport, and by all accounts, the California company is leading the pack in production deployments of autonomous driving technology.

The team of engineers at Tesla working on AI are some of the brightest minds in the space and continue to roll out new, innovative ways of not only processing and interpreting computer vision, but in developing new methods to train its AI. It’s the digital equivalent of building the machine that builds the machine, the virtual equivalent to taking a step up the chain from designing automobiles to designing the manufacturing machines, processes, and systems that build them.

Continue reading “Tesla Fast Tracking Full Self-Driving Development With Advanced Neural Net Training Techniques” »

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Shoes will invariably wear out with enough use, but scientists might have found a way to delay the shopping trip for their replacements. A USC team has created a self-healing 3D-printed rubber that could be ideal for footwear, tires and even soft robotics. The effort involves 3D printing the material with photopolymerization (solidifying a resin with light) while introducing an oxidizer at just the right ratio to add self-healing properties without slowing down the solidifying process.

Continue reading “Self-repairing shoes may be a reality thanks to 3D-printed rubber” »

That strategy was unveiled in a directive on Wednesday by the Ministry of Industry and Information Technology (MIIT), which called on local authorities in 23 provinces, five autonomous regions and four municipalities to support the establishment of these new big data centres, which will help bolster efforts to upgrade the country’s manufacturing sector.

The Ministry of Industry and Information Technology has called on local authorities in 23 provinces, five autonomous regions and four municipalities to support the establishment of new ‘industrial big data’ centres, which would bolster the digital transformation of various industries.

Over the past several years, the increased application of unmanned air vehicles (UAVs) in a wide variety of industries has inspired both public and private research laboratories to not only continually improve this technology, but to also support the miniaturization of these devices. The development of both micro- and nano-UAVs is directly related to the ability of researchers to miniaturize the major components of these devices, some of which include micro-processors, sensors, batteries and all necessary wireless communication units that allow UAVs to function properly in any given settings.

New technology is changing the execution of AI applications.

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.

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.

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.

AI can now be used to generate an endless stream of plausible-sounding but meaningless words. Check out to create more babble than you know what to do with.