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Category: robotics/AI – Page 1,078

4 Reasons Our Future is Decidedly Virtual

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In January, new reports on Apple’s long-awaited augmented reality/virtual reality headset were released. And if what’s in these reports is even partially true, Apple is poised to give the world one of the most jaw-dropping, powerful pieces of technology in history (again) — which is why it was a bit surprising that this news didn’t make more of a splash.

This is the same company that has fans enter lotteries for tickets to corporate keynote addresses! Yet, outside of the usual tech blogs and a few newspaper columns, the future of Apple’s AR/VR device went largely unnoticed.

Deep learning pioneer Geoffrey Hinton quits Google

Geoffrey Hinton, a VP and engineering fellow at Google and a pioneer of deep learning who developed some of the most important techniques at the heart of modern AI, is leaving the company after 10 years, the New York Times reported today.

According to the Times, Hinton says he has new fears about the technology he helped usher in and wants to speak openly about them, and that a part of him now regrets his life’s work.

Mark Zuckerberg says AI boosts monetization

AI is having its moment on tech earnings calls for the second consecutive quarter, following the widely popular launch of OpenAI’s ChatGPT in late November. But not every company has the same plans for the new technology.

Nvidia (NVDA) is selling AI powered supercomputers. Microsoft (MSFT) is integrating ChatGPT into its search engine to compete with Google (GOOGL), which has its own AI searchbot.

Meta’s approach is slightly different. The core business for Meta since the early days of Facebook has been advertising sales, which still account for 98% of the company’s quarterly revenue. So naturally, enhancing advertisements with AI is where Meta believes the new technology can be most impactful.

Can AI Develop Empathy & Ethics?

Can we ensure that AI is used ethically? Will AIs themselves develop empathy and ethics? That’s the topic I’d like to discuss today. It’s important.

I recently sat down with Rana el Kaliouby, PhD, AI researcher and Deputy CEO of Smart Eye, at my private CEO Summit Abundance360 to explore these questions. Rana has been focused on this very topic for the past decade.

Think about what comprises human intelligence. It’s not just your IQ, but also your emotional and social intelligence, specifically how we relate to other people.

Forget AI; Organoid Intelligence May Soon Power Our Computers

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.

How Generative AI Will Change Sales

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.

Using Artificial Intelligence to Speed up Discovery of New Drugs

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.