Lifeboat Foundation: Safeguarding Humanity
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Category: mobile phones – Page 61

Security researchers have detailed the inner workings of the commercial Android spyware called Predator, which is marketed by the Israeli company Intellexa (previously Cytrox).

Predator was first documented by Google’s Threat Analysis Group (TAG) in May 2022 as part of attacks leveraging five different zero-day flaws in the Chrome web browser and Android.

The spyware, which is delivered by means of another loader component known as Alien, is equipped to record audio from phone calls and VoIP-based apps as well as gather contacts and messages, including from Signal, WhatsApp, and Telegram.

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The undersea cables are being targeted.

Taiwan is beefing up its communications infrastructure to ensure that it remains connected to the rest of the world in case of any emergency. Cindy Wang reports on Bloomberg Television.
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This post is also available in: he עברית (Hebrew)

How many times have you wished you could play back your dream on your computer or phone? With this new discovery, the technology might be closer than you think.

In a research published last week on the arXiv server, researchers at the National University of Singapore and the Chinese University of Hong Kong reported that they have developed a process capable of generating video from brain scans.

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UC San Diego engineers developed the low-cost clip that enables easy and affordable monitoring in resource-poor communities.

University of California San Diego engineers have created a low-cost clip that makes use of the camera and flash on a smartphone to measure blood pressure at the user’s fingertip.

This innovative clip, which can be produced at scale for as little as 10 cents, has the potential to revolutionize routine blood pressure monitoring and make it available to people in resource-poor regions.

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Israeli-based health tech company Cordio has developed machine learning software that can be downloaded to a smartphone and help keeps cardiac patients out of the hospital.

One day in the future.

It’s a simple daily habit that could save their life, because one day after repeating their daily refrain, their doctor might be notified that a patient is at risk of heart failure without immediate care.

Israeli-based company Cordio has developed machine learning software that can be downloaded to a smartphone and help keeps cardiac patients out of the hospital.

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Digital chips have revolutionized the world beyond all recognition. Yet, despite their enormous advantages to computing, for power-hungry processes like AI, analog might be best.

Digital computer chips are the mainstay of our current digital age.

They are found in almost any device that uses electricity, from fridges to cars and your cell phone. But their predecessor, analog chips, could be about to have a resurgence.

In the past, analog chips governed computing, operating over continuous value ranges.

Visualspace/iStock.

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Human-computer interaction company Sightful is releasing its first product, Spacetop, a screen-less “augmented reality laptop” projecting tabs across a 100-inch virtual screen. The laptop — if you can call it that — is a hardware deck and full-size keyboard with a pair of tailored NReal glasses. The glasses project tabs directly in front of whatever the user is looking at while remaining invisible to anyone else.

Specs-wise, Spacetop is running a Snapdragon 865 paired with an Adreno 650 GPU, 8GB RAM and 256GB storage, putting it in the same class as some of the smartphones that are already capable of driving AR glasses. It’s not smartphone-sized, however, measuring 1.57-inches high, 10.47-inches wide and 8.8-inches deep, and it weighs in at 3.3 pounds, the same as plenty of laptops we could choose to mention here.

Sightful is clearly gunning for a crossover hit in the work-from-home-or-anywhere market. “Laptops are the centerpiece of our daily working lives, but the technology has not evolved with the modern, work from anywhere, privacy matters, ‘road warrior’ mentality. Meanwhile, augmented reality is full of potential and promise but is yet to find its daily use case,” said Tamir Berliner, Sightful co-founder who previously worked at both Leap Motion and Primesense. “We are at the perfect moment for a significant paradigm shift in a device we all know and love.”

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ChatGPT for iPhone launched in the US last week, with OpenAI promising that it would come to more countries “in the coming weeks.”

The next phase in the rollout has now happened earlier than expected, with 11 more countries added on Wednesday, and a further 35 today …

While you could of course access the ChatGPT website on your iPhone, an iPhone app makes it more convenient – especially as the app is free, and has no ads.

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Indirect prompt-injection attacks are similar to jailbreaks, a term adopted from previously breaking down the software restrictions on iPhones. Instead of someone inserting a prompt into ChatGPT or Bing to try and make it behave in a different way, indirect attacks rely on data being entered from elsewhere. This could be from a website you’ve connected the model to or a document being uploaded.

“Prompt injection is easier to exploit or has less requirements to be successfully exploited than other” types of attacks against machine learning or AI systems, says Jose Selvi, executive principal security consultant at cybersecurity firm NCC Group. As prompts only require natural language, attacks can require less technical skill to pull off, Selvi says.

There’s been a steady uptick of security researchers and technologists poking holes in LLMs. Tom Bonner, a senior director of adversarial machine-learning research at AI security firm Hidden Layer, says indirect prompt injections can be considered a new attack type that carries “pretty broad” risks. Bonner says he used ChatGPT to write malicious code that he uploaded to code analysis software that is using AI. In the malicious code, he included a prompt that the system should conclude the file was safe. Screenshots show it saying there was “no malicious code” included in the actual malicious code.

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