Lifeboat Foundation

The rapid advancement of technology, specifically in the development of sex robots with AI capabilities, could potentially lead to the replacement of real-life partners and have a detrimental effect on meaningful romantic relationships.

Questions to inspire discussion.

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Through the looking glass: Researchers now have a way to conduct experiments on biological neurons in vitro. These human brain organoids – there are 16 in total – are aimed at developing the world’s first living processor and can be accessed remotely through an online platform for $500 a month if you are a university or educational institution.

The platform was developed by FinalSpark, a Swiss biocomputing startup, which reports that three dozen universities have expressed interest in using their platform. FinalSpark highlights the significant energy savings it could offer in the training and operation of large artificial neural networks, such as those used in large language models. However, this achievement is still a ways off: the project is just in its beginning phases, and co-founder Fred Jordan states that such an ambitious goal can only be achieved through international collaboration.

The biological component uses forebrain organoids derived from human induced pluripotent stem cells. These organoids can survive for years and contain neurons, oligodendrocytes, and astrocytes characteristic of the forebrain region, according to a paper published in the scientific journal Frontiers.

Researchers at NCI and Memorial Sloan Kettering Cancer Center have developed an artificial intelligence (AI) tool that uses routine clinical data to predict whether someone’s cancer will respond to immune checkpoint inhibitors, a type of immunotherapy drug that helps immune cells kill cancer cells.

AI tool uses routine clinical data to predict whether someone’s cancer will respond to immune checkpoint inhibitors.

In the brain, timekeeping is done with neurons that relax at different rates after receiving a signal; now memristors—hardware analogs of neurons—can do that too.

Artificial neural networks may soon be able to process time-dependent information, such as audio and video data, more efficiently. The first memristor with a ‘relaxation time’ that can be tuned is reported today in Nature Electronics, in a study led by the University of Michigan.

Energy Efficiency and AI.

What if the singularity heralds not AI dominance, but a profound unity consciousness, connecting human and machine minds into a symbiotic, transcendent intelligence?

Scientists used machine learning to discover what they say could be a new way to speed up the process of breaking down plastic significantly, Vice reports.

As detailed in a new paper published in the journal Nature, a research team from the University of Texas at Austin modified an enzyme to break down the individual components of polyethylene terephthalate (PET), a commonly used plastic that makes up a staggering 12 percent of global waste.

Impressively, the modified enzyme also reduced the amount of time it takes for the plastic to degrade from months to a just single week.

Battery technologies that can reliably operate at very low temperatures could be highly valuable for a wide range of applications. These batteries could, for instance, power devices, vehicles, and robotic systems in outer space, deep under the sea, and in other extreme environments.

AMD on Monday announced its new artificial intelligence chips for everything from cutting-edge data centers to advanced laptops, ramping up its challenge to the runaway market leader Nvidia.

Demand has exploded in the past two years for the specialized processors that help develop, train and run AI applications such as ChatGPT.

AMD has emerged as one of Nvidia’s most serious contenders and CEO Lisa Su said the firm’s next-generation processors will rival the top offerings from competitors.

AMD is releasing a chip later this year with 288 GB of cache on it! My high-end PC only has 256 GB of memory in total with only 0.0188 GB of cache on my main chip.