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Category: robotics/AI – Page 1,433

A deep learning technique to generate DSN amplification attacks

Deep learning techniques have recently proved to be highly promising for detecting cybersecurity attacks and determining their nature. Concurrently, many cybercriminals have been devising new attacks aimed at interfering with the functioning of various deep learning tools, including those for image classification and natural language processing.

Perhaps the most common among these attacks are adversarial attacks, which are designed to “fool” deep learning algorithms using data that has been modified, prompting them to classify it incorrectly. This can lead to the malfunctioning of many applications, , and other technologies that operate through .

Several past studies have shown the effectiveness of different adversarial attacks in prompting (DNNs) to make unreliable and false predictions. These attacks include the Carlini & Wagner attack, the Deepfool attack, the fast gradient sign method (FGSM) and the Elastic-Net attack (ENA).

Researcher uses ‘fuzzy’ AI algorithms to aid people with memory loss

A new computer algorithm developed by the University of Toronto’s Parham Aarabi can store and recall information strategically—just like our brains.

The associate professor in the Edward S. Rogers Sr. department of electrical and computer engineering, in the Faculty of Applied Science & Engineering, has also created an experimental tool that leverages the to help people with memory loss.

“Most people think of AI as more robot than human,” says Aarabi, whose framework is explored in a paper being presented this week at the IEEE Engineering in Medicine and Biology Society Conference in Glasgow. “I think that needs to change.”

‘AI Bumblebees:’ These AI Robots Act Like Bees to Pollinate Tomato Plants

The AI-powered robot is named “Polly” and will pollinate truss tomato plants in Costa’s tomato glasshouse facilities in Guyra, New South Wales.

In its commercial application, Costa wrote on its website that these robotic pollinators will drive between the rows, detect flowers that are ripe for pollination utilizing artificial intelligence, and then emit air pulses to vibrate the flowers in a certain way that mimics buzz pollination that is carried out by bumblebees.

Compared to using insects, like bees, and the human laborers that are occasionally required to aid with the growth of particular crops, pollination robots could provide future farmers with a major advantage, which is to improve productivity.

DeepMind AI learns simple physics like a baby

Inspired by research into how infants learn, computer scientists have created a program that can pick up simple physical rules about the behaviour of objects — and express surprise when they seem to violate those rules. The results were published on 11 July in Nature Human Behaviour1.

Developmental psychologists test how babies understand the motion of objects by tracking their gaze. When shown a video of, for example, a ball that suddenly disappears, the children express surprise, which researchers quantify by measuring how long the infants stare in a particular direction.

Luis Piloto, a computer scientist at Google-owned company DeepMind in London, and his collaborators wanted to develop a similar test for artificial intelligence (AI). The team trained a neural network — a software system that learns by spotting patterns in large amounts of data — with animated videos of simple objects such as cubes and balls.

Swiss Company to Build an Intercity Network of Tunnels for Robotic Cargo Pods

In short, we’re buying so much stuff that it’s becoming hard to get that stuff where it needs to be without undue negative impacts on infrastructure, transit networks, traffic, and ultimately, quality of life. People aren’t going to stop buying stuff, so how can we plan for a future where there’s more stuff being moved and our streets aren’t overwhelmingly clogged with semis and delivery vans (and the polluting emissions that come with them)?

A Swiss company has an idea—one that’s pretty original, a bit wacky, and maybe excessive. Or maybe it’s brilliant; you be the judge.

Underground cargo is the concept. It’s also, as it were, the name: Cargo Sous Terrain. In a network of subterranean tunnels, large pods ferry pallets of goods between various hubs. The pods are automated and electric, able to pick up and drop off loads from designated points, and the network would run constantly, like a conveyor belt in a factory.

New shape-shifting material can move like a robot

Engineers have developed a new class of smart textiles that can shape-shift and turn a two-dimensional material into 3D structures.

The team from UNSW Sydney’s Graduate School of Biomedical Engineering, and Tyree Foundation Institute of Health Engineering (Tyree iHealthE), led by Dr. Thanh Nho Do, have produced a material which is constructed from tiny soft artificial “muscles”—which are long silicon tubes filled with fluid which are manipulated to move via hydraulics.

These , which are surrounded by a helical coil of traditional fibers, can be programmed to contract or expand into a variety of shapes depending on its initial structure.

Automation Anywhere expands collaboration with ICT Academy to impart RPA skills

US-based intelligent automation provider, Automation Anywhere has expanded its collaboration with ICT Academy to upskill additional thousands more students from engineering and non-engineering institutes in Robotic Process Automation (RPA).

The partnership aims to complete more than 500,000 RPA-related courses over the next two years. More than 300,000 certifications have already been issued under the program, the company said.

Through this learning initiative students will access content from Automation Anywhere University (AAU). The program provides role-based learning trails, courses and certifications based on Automation 360 — the company’s AI-powered, cloud native intelligent automation platform.