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Category: robotics/AI – Page 353
Intel strikes multibillion-dollar deal with Amazon, boosting New Albany project
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.
What if everything you thought about coding was wrong?
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?
Novel framework allows for automated tuning of large-scale neuronal models
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 brain.
The work is published in the journal Nature Computational Science.
AI enhances plasma plume analysis
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.
Deep design produces ‘butterfly’ phase mask for light-sheet fluorescence microscopy
Researchers have introduced a solution to the problem of light-sheet fluorescence microscopy: novel illumination beams designed based on deep learning using a trainable phase mask. Their study eliminates the need for sophisticated optical design tools, allowing optimization to be directly applied to improve image contrast.
Mars Exploration: Past, Present, and Future
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.
Can Artificial Intelligence Replace Your Lawyer?
AI can enhance legal efficiency and productivity, but it cannot replace the essential human skills, judgment, and personal involvement required in law practice.
Questions to inspire discussion.
AI’s Impact on Legal Processes.
🤖Q: How can AI streamline legal work? A: AI can streamline document review, legal research, and contract analysis, potentially saving time and reducing costs, but requires accurate databases of serious legal precedent to avoid errors.