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Archive for the ‘robotics/AI’ category: Page 1543

Mar 9, 2021

Neural network CLIP mirrors human brain neurons in image recognition

Posted by in categories: biological, Elon Musk, robotics/AI

Open AI, the research company founded by Elon Musk, has just discovered that their artificial neural network CLIP shows behavior strikingly similar to a human brain. This find has scientists hopeful for the future of AI networks’ ability to identify images in a symbolic, conceptual and literal capacity.

While the human processes by correlating a series of abstract concepts to an overarching theme, the first biological neuron recorded to operate in a similar fashion was the “Halle Berry” neuron. This neuron proved capable of recognizing photographs and sketches of the actress and connecting those images with the name “Halle Berry.”

Now, OpenAI’s multimodal vision system continues to outperform existing systems, namely with traits such as the “Spider-Man” neuron, an artificial neuron which can identify not only the image of the text “spider” but also the comic book character in both illustrated and live action form. This ability to recognize a single concept represented in various contexts demonstrates CLIP’s abstraction capabilities. Similar to a human brain, the capacity for abstraction allows a vision system to tie a series of images and text to a central theme.

Mar 9, 2021

In a leap for battery research, machine learning gets scientific smarts

Posted by in categories: information science, physics, robotics/AI, sustainability, transportation

Scientists have taken a major step forward in harnessing machine learning to accelerate the design for better batteries: Instead of using it just to speed up scientific analysis by looking for patterns in data, as researchers generally do, they combined it with knowledge gained from experiments and equations guided by physics to discover and explain a process that shortens the lifetimes of fast-charging lithium-ion batteries.

It was the first time this approach, known as “scientific machine learning,” has been applied to cycling, said Will Chueh, an associate professor at Stanford University and investigator with the Department of Energy’s SLAC National Accelerator Laboratory who led the study. He said the results overturn long-held assumptions about how lithium-ion batteries charge and discharge and give researchers a new set of rules for engineering longer-lasting batteries.

The research, reported today in Nature Materials, is the latest result from a collaboration between Stanford, SLAC, the Massachusetts Institute of Technology and Toyota Research Institute (TRI). The goal is to bring together foundational research and industry know-how to develop a long-lived electric vehicle battery that can be charged in 10 minutes.

Mar 9, 2021

Key task in computer vision and graphics gets a boost

Posted by in categories: biotech/medical, robotics/AI

Non-rigid point set registration is the process of finding a spatial transformation that aligns two shapes represented as a set of data points. It has extensive applications in areas such as autonomous driving, medical imaging, and robotic manipulation. Now, a method has been developed to speed up this procedure.

In a study published in IEEE Transactions on Pattern Analysis and Machine Intelligence, a researcher from Kanazawa University has demonstrated a technique that reduces the computing time for non-rigid point set registration relative to other approaches.

Previous methods to accelerate this process have been computationally efficient only for shapes described by small point sets (containing fewer than 100000 points). Consequently, the use of such approaches in applications has been limited. This latest research aimed to address this drawback.

Mar 9, 2021

MeInGame: A deep learning method to create videogame characters that look like real people

Posted by in category: robotics/AI

In recent years, videogame developers and computer scientists have been trying to devise techniques that can make gaming experiences increasingly immersive, engaging and realistic. These include methods to automatically create videogame characters inspired by real people.

Most existing methods to create and customize videogame characters require players to adjust the features of their ’s face manually, in order to recreate their own face or the faces of other people. More recently, some developers have tried to develop methods that can automatically customize a character’s face by analyzing images of real people’s faces. However, these methods are not always effective and do not always reproduce the faces they analyze in realistic ways.

Researchers at Netease Fuxi AI Lab and University of Michigan have recently created MeInGame, a that can automatically generate character faces by analyzing a single portrait of a person’s face. This technique, presented in a paper pre-published on arXiv, can be easily integrated into most existing 3D videogames.

Mar 9, 2021

Exploring and explaining properties of motion processing in biological brains using a neural network

Posted by in categories: biological, robotics/AI

Mar 9, 2021

Robo-writers: the rise and risks of language-generating AI

Posted by in categories: business, law, robotics/AI

Large language models are already business propositions. Google uses them to improve its search results and language translation; Facebook, Microsoft and Nvidia are among other tech firms that make them. OpenAI keeps GPT-3’s code secret and offers access to it as a commercial service. (OpenAI is legally a non-profit company, but in 2019 it created a for-profit subentity called OpenAI LP and partnered with Microsoft, which invested a reported US$1 billion in the firm.) Developers are now testing GPT-3’s ability to summarize legal documents, suggest answers to customer-service enquiries, propose computer code, run text-based role-playing games or even identify at-risk individuals in a peer-support community by labelling posts as cries for help.


A remarkable AI can write like humans — but with no understanding of what it’s saying.

Mar 9, 2021

Advanced Computing, Artificial intelligence, Big Data & Materials Science

Posted by in categories: information science, robotics/AI, science

Four Emerging Technology Areas Impacting Industry 4.0: Advanced Computing, Artificial intelligence, Big Data & Materials Science.

Mar 8, 2021

China Plans to Defeat US Supremacy in AI, Quantum Computing With Five-Year Plan

Posted by in categories: government, quantum physics, robotics/AI

Another call for the US government to declare a National Initiative for the USA to reach AGI by 2025.

“China Plans to Defeat US Supremacy in AI, Quantum Computing With Five-Year Plan”


Huawei and ZTE would lead the country in battling tech with tech!

Continue reading “China Plans to Defeat US Supremacy in AI, Quantum Computing With Five-Year Plan” »

Mar 8, 2021

A new type of supply-chain attack with serious consequences is flourishing

Posted by in categories: cybercrime/malcode, robotics/AI, transportation

A new type of supply chain attack unveiled last month is targeting more and more companies, with new rounds this week taking aim at Microsoft, Amazon, Slack, Lyft, Zillow, and an unknown number of others. In weeks past, Apple, Microsoft, Tesla, and 32 other companies were targeted by a similar attack that allowed a security researcher to execute unauthorized code inside their networks.

The latest attack against Microsoft was also carried out as a proof-of-concept by a researcher. Attacks targeting Amazon, Slack, Lyft, and Zillow, by contrast, were malicious, but it’s not clear if they succeeded in executing the malware inside their networks. The npm and PyPi open source code repositories, meanwhile, have been flooded with more than 5000 proof-of-concept packages, according to Sonatype, a firm that helps customers secure the applications they develop.

“Given the daily volume of suspicious npm packages being picked up by Sonatype’s automated malware detection systems, we only expect this trend to increase, with adversaries abusing dependency confusion to conduct even more sinister activities,” Sonatype researcher Ax Sharma wrote earlier this week.

Mar 8, 2021

Autonomous Materials: Researchers Design Patterns in Self-Propelling Liquid Crystals

Posted by in categories: bioengineering, biotech/medical, robotics/AI

Materials capable of performing complex functions in response to changes in the environment could form the basis for exciting new technologies. Think of a capsule implanted in your body that automatically releases antibodies in response to a virus, a surface that releases an antibacterial agent when exposed to dangerous bacteria, a material that adapts its shape when it needs to sustain a particular weight, or clothing that senses and captures toxic contaminants from the air.

Scientists and engineers have already taken the first step toward these types of autonomous materials by developing “active” materials that have the ability to move on their own. Now, researchers at the University of Chicago have taken the next step by showing that the movement in one such active material—liquid crystals—can be harnessed and directed.

This proof-of-concept research, published on February 182021, in the journal Nature Materials, is the result of three years of collaborative work by the groups of Juan de Pablo, Liew Family Professor of Molecular Engineering, and Margaret Gardel, Horace B. Horton Professor of Physics and Molecular Engineering, along with Vincenzo Vitelli, professor of physics, and Aaron Dinner, professor of chemistry.