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Archive for the ‘robotics/AI’ category: Page 1385

Jul 22, 2021

AI-enabled BeachBot robot to clean up cigarette butts on beaches

Posted by in category: robotics/AI

With help from Microsoft’s artificial intelligence systems, the BeachBot learns how to better find the strewn filters, even if they’re partially buried in the sand. It then scoops these cigarette butts up from the sand and disposes of them in an internal bin. Later, people empty that bin into a trash container. Rolling atop the sand on four puffy-looking wheels, the beach-cleaning robot uses two onboard cameras to look ahead (to avoid people and objects) and to look down.

The BeachBot is still in early learning via the software giant’s Trove AI system, which helps provide image sets for this kind of machine learning task. Teaching the bot how to find its prey requires a lot of people. TechTics must show the beach rover (and, specifically, the AI system) thousands of photos of cigarette butts, all lying about in various states, such as partially hidden, so it can recognize and remember them.

Continue reading “AI-enabled BeachBot robot to clean up cigarette butts on beaches” »

Jul 22, 2021

Wearable brain-machine interface turns intentions into actions

Posted by in categories: robotics/AI, virtual reality, wearables

A new wearable brain-machine interface (BMI) system could improve the quality of life for people with motor dysfunction or paralysis, even those struggling with locked-in syndrome—when a person is fully conscious but unable to move or communicate.

A multi-institutional, international team of researchers led by the lab of Woon-Hong Yeo at the Georgia Institute of Technology combined wireless soft scalp electronics and virtual reality in a BMI system that allows the user to imagine an action and wirelessly control a wheelchair or robotic arm.

The team, which included researchers from the University of Kent (United Kingdom) and Yonsei University (Republic of Korea), describes the new motor imagery-based BMI system this month in the journal Advanced Science.

Jul 22, 2021

DeepMind’s AlphaFold2 Predicts Protein Structures with Atomic-Level Accuracy

Posted by in categories: physics, robotics/AI

The prediction of protein structures from amino acid sequence information alone, known as the “protein folding problem,” has been an important open research question for more than 50 years. In the fall of 2020, DeepMind’s neural network model AlphaFold took a huge leap forward in solving this problem, outperforming some 100 other teams in the Critical Assessment of Structure Prediction (CASP) challenge, regarded as the gold-standard accuracy assessment for protein structure prediction. The success of the novel approach is considered a milestone in protein structure prediction.

This week, the DeepMind paper Highly Accurate Protein Structure Prediction with AlphaFold was published in the prestigious scientific journal Nature. The paper introduces AlphaFold2, a completely redesigned and open-sourced model that can predict protein structures with atomic-level accuracy.

Although machine learning researchers have long sought to develop computational methods for predicting 3D protein structures from protein sequences, there had been limited progress along this path, chiefly due to the computational intractability of molecular simulation, the context-dependence of protein stability, and the difficulty of producing sufficiently accurate models for protein physics.

Jul 22, 2021

BlueOcean raises $15M to measure brand sentiment with AI

Posted by in category: robotics/AI

BlueOcean, a startup leveraging AI and machine learning to measure brand sentiment, has raised $15 million in capital.

Jul 21, 2021

This US city is using AI to prevent traffic jams and cut emissions

Posted by in category: robotics/AI

Saving $100 billion in lost productivity over the next decade.

Jul 21, 2021

Spot the robot dog trains for future Mars cave mission

Posted by in categories: robotics/AI, space travel

Boston Dynamics’ Spot could be going to Mars. The dog-like robot is now equipped with AI and could be sent on missions to autonomously explore caves.

Jul 21, 2021

New smart foam material gives robots the ability to self-repair

Posted by in categories: materials, robotics/AI

Jul 21, 2021

Effectively using GPT-J and GPT-Neo, the GPT-3 open-source alternatives, with few-shot learning

Posted by in category: robotics/AI

GPT-J and GPT-Neo, the open-source alternatives to GPT-3, are among the best NLP models as of this writing. But using them effectively can take practice. Few-shot learning is an NLP technique that works very well with these models.

GPT-J and GPT-Neo.

GPT-Neo and GPT-J are both open-source NLP models, created by EleutherAI (a collective of researchers working to open source AI).

Jul 21, 2021

Finally: Here’s American New 6th Generation Fighter Jet

Posted by in categories: military, robotics/AI

The future of fighter jets is coming, seemingly with more international power and disruptive technologies than predicted. As the US forges ahead to become 1st nation field sixth-generation fighter jet, other major air forces fear falling behind in the competitive race. The US, Europe, Japan, and China have made unbelievable investments looking for unique next-level capabilities like stealth, robust avionics, and navigation systems to present the most technologically advanced fighter jet. But one particular trend is crucial for all 6th gen prototypes. Artificial Intelligence is about to begin a new era of air combat.

Jul 21, 2021

Nvidia releases TensorRT 8 for faster AI inference

Posted by in categories: mathematics, robotics/AI

Nvidia today announced the release of TensorRT 8, the latest version of its software development kit (SDK) designed for AI and machine learning inference. Built for deploying AI models that can power search engines, ad recommendations, chatbots, and more, Nvidia claims that TensorRT 8 cuts inference time in half for language queries compared with the previous release of TensorRT.

Models are growing increasingly complex, and demand is on the rise for real-time deep learning applications. According to a recent O’Reilly survey, 86.7% of organizations are now considering, evaluating, or putting into production AI products. And Deloitte reports that 53% of enterprises adopting AI spent more than $20 million in 2019 and 2020 on technology and talent.

TensorRT essentially dials a model’s mathematical coordinates to a balance of the smallest model size with the highest accuracy for the system it’ll run on. Nvidia claims that TensorRT-based apps perform up to 40 times faster than CPU-only platforms during inference, and that TensorRT 8-specific optimizations allow BERT-Large — one of the most popular Transformer-based models — to run in 1.2 milliseconds.