Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 1714

To assist humans in completing manual chores or tasks, robots must efficiently grasp and manipulate objects in their surroundings. While in recent years robotics researchers have developed a growing number of techniques that allow robots to pick up and handle objects, most of these only proved to be effective when tackling very basic tasks, such as picking up an object or moving it from one place to another.

High-resolution could enable more advanced manipulation capabilities by gathering valuable tactile information that can be used to identify the best strategies for manipulating specific objects. Many existing tactile sensors are highly efficient but expensive to produce, which makes them difficult or impossible to implement on a large-scale; others are inexpensive but with a limited resolution and performance.

With this in mind, researchers at Facebook recently designed DIGIT, a that is compact, affordable, and can also collect high-resolution images. DIGIT, presented in a paper pre-published on arXiv, could facilitate the development of robots capable of completing a greater variety of tasks involving in-hand manipulation.

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Electronic systems – from the processors powering smartphones to the embedded devices keeping the Internet of Things humming – have become a critical part of daily life. The security of these systems is of paramount importance to the Department of Defense (DoD), commercial industry, and beyond. To help protect these systems from common means of exploitation, DARPA launched the System Security Integration Through Hardware and Firmware (SSITH) program in 2017. Instead of relying on patches to ensure the safety of our software applications, SSITH seeks to address the underlying hardware vulnerabilities at the source. Research teams are developing hardware security architectures and tools that protect electronic systems against common classes of hardware vulnerabilities exploited through software.

To help harden the SSITH hardware security protections in development, DARPA today announced its first ever bug bounty program called, the Finding Exploits to Thwart Tampering (FETT) Bug Bounty. FETT aims to utilize hundreds of ethical researchers, analysts, and reverse engineers to deep dive into the hardware architectures in development and uncover potential vulnerabilities or flaws that could weaken their defenses. DARPA is partnering with the DoD’s Defense Digital Service (DDS) and Synack, a trusted crowdsourced security company on this effort. In particular, FETT will utilize Synack’s existing community of vetted, ethical researchers as well as artificial intelligence (AI) and machine learning (ML) enabled technology along with their established vulnerability disclosure process to execute the crowdsourced security engagement.

Bug bounty programs are commonly used to assess and verify the security of a given technology, leveraging monetary rewards to encourage hackers to report potential weaknesses, flaws, or bugs in the technology. This form of public Red Teaming allows organizations or individual developers to address the disclosed issues, potentially before they become significant security challenges.

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The Pentagon’s artificial intelligence hub is shifting its focus to enabling joint warfighting operations, developing artificial intelligence tools that will be integrated into the Department of Defense’s Joint All-Domain Command and Control efforts.

“As we have matured, we are now devoting special focus on our joint warfighting operation and its mission initiative, which is focused on the priorities of the National Defense Strategy and its goal of preserving America’s military and technological advantages over our strategic competitors,” Nand Mulchandani, acting director of the Joint Artificial Intelligence Center, told reporters July 8. “The AI capabilities JAIC is developing as part of the joint warfighting operations mission initiative will use mature AI technology to create a decisive advantage for the American war fighter.”

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Three times in the coming month or so, rockets will light their engines and set course for Mars. A trio of nations — the United States, China and the United Arab Emirates (UAE) — will be sending robotic emissaries to the red planet, hoping to start new chapters of exploration there.

Each mission is a pioneer in its own right. The United States is sending its fifth rover, NASA’s most capable ever, in the hope of finding evidence of past life on Mars and collecting a set of rocks that will one day be the first samples flown back to Earth. China aims to build on its lunar-exploration successes by taking one of its rovers to Mars for the first time. And the UAE will be launching an orbiter — the first interplanetary mission by any Arab nation — as a test of its young but ambitious space agency.

It is far from a given that all these missions will make it; Mars is notorious as a graveyard for failed spacecraft. But if they do, they will substantially rewrite scientific understanding of the planet. The two rovers are heading for parts of Mars that have never been explored(see ‘Landing sites’), and the UAE’s orbiter will track the changing Martian atmosphere.

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NASA is about to begin building its latest spacecraft. Called “Psyche” it will explore a 140 miles/226 kilometers-wide asteroid called “16 Psyche.” Today it’s passed a major milestone.

Why is NASA going to ‘16 Psyche?’

Located in the Solar System’s main asteroid belt between Mars and Jupiter, metal-rich 16 Psyche is thought to be the exposed metallic iron, nickel and gold core of a protoplanet. Most asteroids are rocky or icy.

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Team members at Adobe have built a new way to use artificial intelligence to automatically personalize a blog for different visitors.

This tool was built as part of the Adobe Sneaks program, where employees can create demos to show off new ideas, which are then showcased (virtually, this year) at the Adobe Summit. While the Sneaks start out as demos, Adobe Experience Cloud Senior Director Steve Hammond told me that 60% of Sneaks make it into a live product.

Hyman Chung, a senior product manager for Adobe Experience Cloud, said that this Sneak was designed for content creators and content marketers who are probably seeing more traffic during the coronavirus pandemic (Adobe says that in April, its own blog saw a 30% month-over-month increase), and who may be looking for ways to increase reader engagement while doing less work.

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Quantum information scientists have introduced a new method for machine-learning classifications in quantum computing. The non-linear quantum kernels in a quantum binary classifier provide new insights for improving the accuracy of quantum machine learning, deemed able to outperform the current AI technology.

The research team led by Professor June-Koo Kevin Rhee from the School of Electrical Engineering, proposed a quantum classifier based on quantum state fidelity by using a different initial state and replacing the Hadamard classification with a swap test. Unlike the conventional approach, this method is expected to significantly enhance the classification tasks when the training dataset is small, by exploiting the quantum advantage in finding non-linear features in a large feature space.

Quantum machine learning holds promise as one of the imperative applications for . In machine learning, one for a wide range of applications is classification, a task needed for recognizing patterns in labeled training data in order to assign a label to new, previously unseen data; and the kernel method has been an invaluable classification tool for identifying non-linear relationships in complex data.

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