Proponents of artificial intelligence say its potential is limitless. But cyber scammers could also use it to their advantage.
Analysts explained to AFP how the technology could increase the risk from online crime.
Chatbots are the best-known of all AI tools thanks to the rampant success of ChatGPT and many that have come afterwards, not least Google’s Bard.
New research found sophisticated reasoning in AI models that could enable situational awareness, posing safety risks if left uncontrolled.
Human curiosity remains an irreplaceable element in scientific exploration and discovery. Despite the impressive capabilities of AI, it is human curiosity that drives new ideas, inspires new directions in research and development, and leads to a constant stream of innovation and discovery. We must continue cultivating and nurturing human curiosity to ensure scientific advancement and discovery progress.
Combining AI and human curiosity can lead to even more outstanding results. Although AI may eventually improve and replicate certain aspects of human curiosity, interest is an integral part of being human and is necessary for scientific progress. In the future, AI and human curiosity will work together in a complementary way to achieve even more impressive scientific discoveries.
Some argue that AI still needs to gain common sense, creativity and a deep understanding of the world that humans possess. Human curiosity drives researchers to ask questions, seek new knowledge and explore new ideas, which is essential for advancing AI research. Human expertise and creativity are also critical for developing effective responses to crises like the Covid-19 pandemic. While AI can replace some tasks, it cannot replace human problem-solving skills. Therefore, combining the strengths of AI and human curiosity is necessary to achieve outstanding results in scientific pursuits.
A patient at the Galilee Medical Center in Nahariya had his life saved thanks to an AI warning of intracranial bleeding. According to Israel Hayom, the resident of the city is a 50-year-old man who came in for a routine CT scan.
The reason for the scan was due to him complaining of strong headaches for a long period. Normally, the results of the CT scan would take several weeks before becoming available. However, due to an alert by the AI-based program in-house, it warned that the patient may have been experiencing intracranial bleeding.
Once alerted by the AI, doctors rushed to call the man to return to the medical center. Thankfully, the man was nearby and came right back. He was then operated on by staff who found the bleeding, saving his life.
Piranka/iStock.
This is according to an article by The Associated Press (AP) published on Saturday.
For about a year and a half, Coca-Cola has experimented with limited-edition beverages that have mystery tastes — most of them with vague, futuristic concepts and undisclosed flavors.
The latest one, Coca-Cola Y3000, fits the bill. The one distinction: It’s supposed to taste like the future. Fittingly, the soft-drink giant used artificial intelligence to help determine the flavor and packaging.
It’s important for Coca-Cola to keep customers — particularly younger ones — excited about Coke, its more-than-a-century-old signature product. In recent years, health-conscious consumers have shied away from sugary beverages, making it trickier for soda sellers to market their legacy brands. Coca-Cola has used its Creations platform, responsible for limited-edition flavors like Y3000, to try to make the brand resonate with younger consumers.
Companies are struggling with where to start with generative AI. The authors’ case studies, based on their growing global community of over 3,000 GenAI practitioners, point to a new category of work, more precise and actionable than “knowledge work.” They call it WINS Work — the places where tasks, functions, possibly your entire company or industry — are dependent on the manipulation and interpretation of Words, Images, Numbers, and Sounds (WINS). This framework can help leaders identify how vulnerable their business is to changes from this new technology and plan their response.
Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.362921 data-title= Where Should Your Company Start with GenAI? data-url=/2023/09/where-should-your-company-start-with-genai data-topic= AI and machine learning data-authors= Paul Baier; Jimmy Hexter; John J. Sviokla data-content-type= Digital Article data-content-image=/resources/images/article_assets/2023/09/Sep23_09_AlexWilliam-383x215.jpg data-summary=
Understand where your company stands — and what it needs to do.
A Meta team, hand-picked by Zuckerberg, is working on the new AI tool.
Meta will unveil a superior artificial intelligence model in 2024, which is touted to be on par with the most powerful model created by OpenAI, the company that birthed ChatGPT and is backed by Microsoft, reported The Wall Street Journal.
WSJ spoke to people familiar with the matter, most likely Meta insiders, who said that the new model would be two times more advanced than Llama 2, the open-source large language model launched by Meta in July and distributed by Microsoft’s cloud Azure services.
German scientists present a method by which AI could be trained much more efficiently.
In the last couple of years, research institutions have been working on finding new concepts of how computers can process data in the future. One of these concepts is known as neuromorphic computing. Neuromorphic computing models may sound similar to artificial neural networks but have little to do with them.
Compared to traditional artificial intelligence algorithms, which require significant amounts of data to be trained on before they can be effective, neuromorphic computing systems can learn and adapt on the fly.
