Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
Intel utilizes neuromorphic computing, a hyper-efficient solution inspired by the human brain, to address the need for fundamentally new approaches to sustainable artificial intelligence.
About Intel Newsroom.
Intel Newsroom brings you the latest news and updates on world-changing technology that enriches the lives of everyone on Earth. Catch up on the latest innovations in client computing, artificial intelligence, security, data centers, international news and more. Watch recaps and replays from industry events where Intel has a major role, such as Mobile World Congress (MWC), Intel Innovation, the Consumer Electronics Show (CES) and others.
Continue reading “Intel Introduces Hala Point, the Most Advanced Neuromorphic System” »
Researchers have developed a new algorithm called L-Mul that could reduce AI energy consumption by up to 95%.
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
Google has implemented increasingly sophisticated protections against those who would compromise your Gmail account —but hackers using AI-driven attacks are also evolving. Here’s what you need to know.
Sam Mitrovic, a Microsoft solutions consultant, has issued a warning after almost falling victim to what is described as a “super realistic AI scam call” capable of tricking even the most experienced of users.
It all started a week before Mitrovic realized the sophistication of the attack that was targeting him. “I received a notification to approve a Gmail account recovery attempt,” Mitrovic recounts in a blog post warning other Gmail users of the threat in question. The need to confirm an account recovery, or a password reset, is a notorious phishing attack methodology intended to drive the user to a fake login portal where they need to enter their credentials to report the request as not initiated by them.
Companies that embrace a data-driven culture will be better able to thrive in not just life sciences, but every industry. By leveraging AI and strengthening the collaboration between humans and machines, organizations can achieve better quality, ensure data-driven decision-making and democratize data across their enterprise.
It’s incredible to think of where we’ll be in just a few short years. Those who can adapt to a data-first culture and not only implement AI technologies, but also understand its application and address the challenges, will be better positioned for success.
I’ll close with this—follow the data. Make decisions based on that data. That’s it. It’s that simple. In the search for truth, data-driven decisions are the way forward.
Edward Frenkel is a renowned mathematician, professor of University of California, Berkeley, member of the American Academy of Arts and Sciences, and winner of the Hermann Weyl Prize in Mathematical Physics. In this episode, Edward Frenkel discusses the recent monumental proof in the Langlands program, explaining its significance and how it advances understanding in modern mathematics.
SPONSOR (THE ECONOMIST): As a listener of TOE you can get a special 20% off discount to The Economist and all it has to offer! Visit https://www.economist.com/toe.
Continue reading “This is a Monumental Breakthrough… [Part 2]” »
Neural networks have a remarkable ability to learn specific tasks, such as identifying handwritten digits. However, these models often experience “catastrophic forgetting” when taught additional tasks: They can successfully learn the new assignments, but “forget” how to complete the original. For many artificial neural networks, like those that guide self-driving cars, learning additional tasks thus requires being fully reprogrammed.
Biological brains, on the other hand, are remarkably flexible. Humans and animals can easily learn how to play a new game, for instance, without having to re-learn how to walk and talk.
Inspired by the flexibility of human and animal brains, Caltech researchers have now developed a new type of algorithm that enables neural networks to be continuously updated with new data that they are able to learn from without having to start from scratch. The algorithm, called a functionally invariant path (FIP) algorithm, has wide-ranging applications from improving recommendations on online stores to fine-tuning self-driving cars.
