Toggle light / dark theme

In context: Upscaling tech like Nvidia’s DLSS can enhance lower-resolution images and improve image quality while achieving higher frame rates. However, some gamers are concerned that this technology might become a requirement for good performance – a valid fear, even though only a few games currently list system requirements that include upscaling. As the industry continues to evolve, how developers address these concerns remains to be seen.

AI, in its current primitive form, is already benefiting a wide array of industries, from healthcare to energy to climate prediction, to name just a few. But when asked at the Goldman Sachs Communacopia + Technology Conference in San Francisco last week which AI use case excited him the most, Nvidia CEO Jensen Huang responded that it was computer graphics.

“We can’t do computer graphics anymore without artificial intelligence,” he said. “We compute one pixel, we infer the other 32. I mean, it’s incredible… And so we hallucinate, if you will, the other 32, and it looks temporally stable, it looks photorealistic, and the image quality is incredible, the performance is incredible.”

Intel on Monday reaffirmed its commitment to its $28 billion project in New Albany and said it has struck a new multiyear, multibillion-dollar partnership with Amazon, one of its Licking County neighbors.

“We remain committed to our U.S. manufacturing investments and are moving forward with our projects in Arizona, Oregon, New Mexico and Ohio,” Intel CEO Pat Gelsinger said in a statement.

The company did not specify how many years or billions of dollars the Amazon partnership was for beyond that the chips will power artificial intelligence applications based on Intel’s most advanced technology.

Jensen Huang, Nvidia’s visionary CEO, challenges a long-held belief about the future of programming. While everyone has been saying it’s crucial to learn coding, Huang turns that idea on its head. With the rise of AI, we are ALL programmers now – without ever writing a line of code.

The real miracle is here: artificial intelligence. It has closed the gap between humans and technology, making complex computing accessible to all. Whether you’re a professional or someone just dipping their toes into the world of tech, AI is now in your hands. Are you going to let this chance slip by? The time to act is now! 🌍🤖

The technology divide is no more. Every government, industry, and business is investing in AI. Will you get on board, or be left in the dust?

Developing large-scale neural network models that mimic the brain’s activity is a major goal in the field of computational neuroscience. Existing models that accurately reproduce aspects of brain activity are notoriously complex, and fine-tuning model parameters often requires significant time, intuition, and expertise.

New published research from an interdisciplinary group of researchers primarily based at Carnegie Mellon University and the University of Pittsburgh presents a novel solution to mitigate some of these challenges. The machine learning-driven framework, Spiking Network Optimization using Population Statistics (SNOPS), can quickly and accurately customize models that reproduce activity to mimic what’s observed in the .

The work is published in the journal Nature Computational Science.

In a published in the journal npj Computational Materials, Oak Ridge National Laboratory scientists developed a deep learning model—a type of artificial intelligence that mimics human brain function—to analyze high-speed videos of plasma plumes during a process called pulsed laser deposition, or PLD.

Why do we study Mars? What missions have been there? How do we plan to explore this intriguing world in the future? Quench your curiosity with this educational infographic on the Red Planet!


For thousands of years, Mars aka the Red Planet, has fascinated skywatchers from countless civilizations and cultures, leading some to speculate that it was a lush world full of life. However, the exploration of Mars has proven to be quite the contrast, instead exhibiting a dry and inhabitable world utterly devoid of life. Despite this, scientists and engineers from around the world have learned quite a bit from our planetary neighbor with the countless robotic explorers sent there, including flybys, orbiters, landers, and rovers.

Through this, we have gained incredible insight into the ancient history of Mars and whether life might have existed there long ago. In the future, as humanity looks to return the first samples from Mars and land humans on the Red Planet’s surface, we will continue to learn more about this fascinating world and whether it could have, or currently, hosts life as we know it.