Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 3608

Tools such as DALL – E 2 and ChatGPT have the potential to crush the “competition” because they can do specific creative tasks faster and, in some cases, better than humans. This may sound scary for the people behind the desk; however, as phenomenal as these tools are, they are not infallible. These LLMs are not without their limits. They are vulnerable to inconsistent accuracy, limited creativity and controllability and may provide outdated information.

Despite their significant strengths, they present users with challenges that must be addressed to optimize their potential fully. What this means for those threatened by the existence of AI is the need to step up their game and upskill to remain competitive.

The evolution of technology will continue, addressing the gaps in many different industries to benefit society. Creatives, including digital marketers, copywriters and designers, have already recognized the potential benefits of AI-powered tools. So, the question shouldn’t be whether AI will take over your jobs but how you’ll adapt.

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A collaborative effort has installed electronic “brains” on solar-powered robots that are 100 to 250 micrometers in size – smaller than an ant’s head – so that they can walk autonomously without being externally controlled.

Cornell researchers installed electronic “brains” on solar-powered robots that are 100 to 250 micrometers in size, so the tiny bots can walk autonomously without being externally controlled. Noël Heaney/Cornell University

While Cornell researchers and others have previously developed microscopic machines that can crawl, swim, walk and fold themselves up, there were always “strings” attached; to generate motion, wires were used to provide electrical current or laser beams had to be focused directly onto specific locations on the robots.

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The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Tuesday released an Industrial Control Systems (ICS) advisory about a critical flaw affecting ME RTU remote terminal units.

The security vulnerability, tracked as CVE-2023–2131, has received the highest severity rating of 10.0 on the CVSS scoring system for its low attack complexity.

“Successful exploitation of this vulnerability could allow remote code execution,” CISA said, describing it as a case of command injection affecting versions of INEA ME RTU firmware prior to version 3.36.

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Cybersecurity researchers have uncovered weaknesses in a software implementation of the Border Gateway Protocol (BGP) that could be weaponized to achieve a denial-of-service (DoS) condition on vulnerable BGP peers.

The three vulnerabilities reside in version 8.4 of FRRouting, a popular open source internet routing protocol suite for Linux and Unix platforms. It’s currently used by several vendors like NVIDIA Cumulus, DENT, and SONiC, posing supply chain risks.

The discovery is the result of an analysis of seven different implementations of BGP carried out by Forescout Vedere Labs: FRRouting, BIRD, OpenBGPd, Mikrotik RouterOS, Juniper JunOS, Cisco IOS, and Arista EOS.

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Researchers have developed a new high-speed way to detect the location, size and category of multiple objects without acquiring images or requiring complex scene reconstruction. Because the new approach greatly decreases the computing power necessary for object detection, it could be useful for identifying hazards while driving.

“Our technique is based on a single-pixel detector, which enables efficient and robust multi– directly from a small number of 2D measurements,” said research team leader Liheng Bian from the Beijing Institute of Technology in China. “This type of image-free sensing technology is expected to solve the problems of heavy communication load, high computing overhead and low perception rate of existing visual perception systems.”

Today’s image-free perception methods can only achieve classification, single object recognition or tracking. To accomplish all three at once, the researchers developed a technique known as image-free single-pixel object detection (SPOD). In Optics Letters, they report that SPOD can achieve an object detection accuracy of just over 80%.

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