Lifeboat Foundation

While the world has been captivated by recent advances in artificial intelligence, researchers at Johns Hopkins University have identified a new form of intelligence: organoid intelligence. A future where computers are powered by lab-grown brain cells may be closer than we could ever have imagined.

What is an organoid? Organoids are three-dimensional tissue cultures commonly derived from human pluripotent stem cells. What looks like a clump of cells can be engineered to function like a human organ, mirroring its key structural and biological characteristics. Under the right laboratory conditions, genetic instructions from donated stem cells allow organoids to self-organize and grow into any type of organ tissue, including the human brain.

Although this may sound like science-fiction, brain organoids have been used to model and study neurodegenerative diseases for nearly a decade. Emerging studies now reveal that these lab grown brain cells may be capable of learning. In fact, a research team from Melbourne recently reported that they trained 800,000 brain cells to perform the computer game, Pong (see video). As this field of research continues to grow, researchers speculate that this so-called “intelligence in a dish” may be able to outcompete artificial intelligence.

Greg Rutkowski is a more popular prompt for text-to-image AI art generators than Picasso.

Sales teams have typically not been early adopters of technology, but generative AI may be an exception to that. Sales work typically requires administrative work, routine interactions with clients, and management attention to tasks such as forecasting. AI can help do these tasks more quickly, which is why Microsoft and Salesforce have already rolled out sales-focused versions of this powerful tool.

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Microsoft and Salesforce have already rolled out sales-focused versions of this powerful tool.

Summary: Experts see a bright future in the complementary use of artificial intelligence (AI) and structure-based drug discovery for drug discovery. Researchers explain how computational methods will streamline drug discovery by predicting which drug molecules are most likely to bind with the target receptor. The structure-based and AI-based approaches complement each other and can save time and money while yielding better results than traditional trial-and-error methods.

Source: USC

Artificial intelligence can generate poems and essays, create responsive game characters, analyze vast amounts of data and detect patterns that the human eye might miss. Imagine what AI could do for drug discovery, traditionally a time-consuming, expensive process from the bench to the bedside.

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The G7 expressed their commitment to threats from outside, as worries about digital absolutism in nations like China persist.

The digital ministers of the Group of Seven (G7) countries have decided that “risk-based” regulation on artificial intelligence (AI) should be adopted.

TheG7 encouraged the ethical use of AI, including the ChatGPT AI bot created by the US company OpenAI, according to media reports.

“Now with reflexes, we think we can one day pick and place in every possible way, so that a robot could potentially clean up the house.”

Reacting to stimuli on the fly has been exclusive to living beings for much until now. In a world of uncertainties, adjusting to changes in our surroundings has been a big reason why we’re still around as a species.

Continue reading “MIT team designs robotic gripper that could soon clean our homes” »

According to a recent study, ChatGPT surpasses the quality and empathy of physicians when responding to online queries. However, there are some caveats.

A recent study published in JAMA Internal Medicine reveals that ChatGPT surpasses physicians in terms of quality and empathy when responding to online queries. The study evaluated ChatGPT’s performance compared to physicians in answering patient questions from Reddit’s r/AskDocs forum.

The cross-sectional study involved 195 randomly selected questions and found that chatbot responses were preferred over physician responses. ChatGPT received significantly higher ratings for both quality and empathy.

Maybe you can’t tell a book from its cover, but according to researchers at MIT you may now be able to do the equivalent for materials of all sorts, from an airplane part to a medical implant. Their new approach allows engineers to figure out what’s going on inside simply by observing properties of the material’s surface.

The team used a type of machine learning known as deep learning to compare a large set of simulated data about materials’ external force fields and the corresponding internal structure, and used that to generate a system that could make reliable predictions of the interior from the surface data.

The results have been published in the journal Advanced Materials, in a paper by doctoral student Zhenze Yang and professor of civil and environmental engineering Markus Buehler.