Lifeboat Foundation

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Nowadays, many malicious elements online use AI to digitally expand their operations, and experts claim that such AI-generated fraud is only expected to worsen.

This increasing criminal use of AI challenges security agencies as they look to capture and convict criminals. Unfortunately, most agencies do not have the resources to handle the increased volume of cases, and those that do struggle immensely with differing regulations across jurisdictions. Furthermore, the lack of federal legislation on AI leaves agencies largely on their own to navigate these evolving challenges.

Artificial intelligence tools hold promise for applications ranging from autonomous vehicles to the interpretation of medical images. However, a new study finds these AI tools are more vulnerable than previously thought to targeted attacks that effectively force AI systems to make bad decisions.

At issue are so-called “adversarial attacks,” in which someone manipulates the data being fed into an AI system in order to confuse it. For example, someone might know that putting a specific type of sticker at a specific spot on a stop sign could effectively make the stop sign invisible to an AI system. Or a hacker could install code on an X-ray machine that alters the image data in a way that causes an AI system to make inaccurate diagnoses.

“For the most part, you can make all sorts of changes to a stop sign, and an AI that has been trained to identify stop signs will still know it’s a stop sign,” says Tianfu Wu, co-author of a paper on the new work and an associate professor of electrical and computer engineering at North Carolina State University. “However, if the AI has a vulnerability, and an attacker knows the vulnerability, the attacker could take advantage of the vulnerability and cause an accident.”

Researchers have cracked the second ‘code of life’. In an exclusive interview with Technology Networks they explain how.

By Chuck Brooks

Every new year creates a new opportunity for optimism and predictions. In the past couple of years, emerging technology has permeated almost all areas of our lives. There is much to explore! In this article, I focus on three evolving technology areas that are already impacting our future but are only at the early stages of true potential: artificial intelligence, quantum computing, and space systems.

In addition to my own thoughts and perspectives, I reached out to several well-known subject matter experts on those very topic areas to share their valued insights.

Continue reading “Artificial Intelligence, Quantum Computing, and Space are 3 Tech areas to Watch in 2024” »

UK and U.S. competition watchdogs bring the alliance under their lens.

Global regulators are examining Microsoft’s $13 billion investment in OpenAI.

The Ray-Ban Meta smart glasses are about to get a serious upgrade, thanks to Meta’s AI smarts finally learning to see and hear.

Meta, formerly known as Facebook, has announced some exciting new features for its Meta Ray-Ban smart glasses that will make them more useful and interactive. The company is testing a new “multimodal” AI assistant that can respond to your queries based on what you see and hear through the glasses’ camera and microphones.

Multimodal AI at play

Continue reading “Ray-Ban Meta glasses now reads, translates and captions photos” »

The new video demonstrates that Optimus has enhanced its balance and body control and can move more naturally and gracefully.

Perhaps the most impressive advancement lies in its dexterous “brand new hands.” Whereas the Gen 1 prototype struggled with even basic manipulation, Optimus Gen 2 handles delicate objects with surprising finesse. The video showcasing its gentle handling of an egg serves as a testament to its improved dexterity, paving the way for broader applications in the future.

The Paris-based startup dropped Mixtral 8x7B.

Mistral AI released Mixtral-8x7B on X, showcasing superior performance in multiple AI benchmarks.

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In the realm of computing technology, there is nothing quite as powerful and complex as the human brain. With its 86 billion neurons and up to a quadrillion synapses, the brain has unparalleled capabilities for processing information. Unlike traditional computing devices with physically separated units, the brain’s efficiency lies in its ability to serve as both a processor and memory device. Recognizing the potential of harnessing the brain’s power, researchers have been striving to create more brain-like computing systems.

Efforts to mimic the brain’s activity in artificial systems have been ongoing, but progress has been limited. Even one of the most powerful supercomputers in the world, Riken’s K Computer, struggled to simulate just a fraction of the brain’s activity. With its 82,944 processors and a petabyte of main memory, it took 40 minutes to simulate just one second of the activity of 1.73 billion neurons connected by 10.4 trillion synapses. This represented only one to two percent of the brain’s capacity.

Continue reading “Scientists built a Cyborg computer with living brain tissue” »