The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As machine learning algorithms draw inspiration from biological neural networks, some engineers have been working on hardware that also mimics the architecture and functioning of the human brain.The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As machine learning algorithms draw inspiration from biological neural networks, some engineers have been working on hardware that also mimics the architecture and functioning of the human brain.Hardware[#item_full_content]

At 77 years old, Geoffrey Hinton has a new calling in life. Like a modern-day prophet, the Nobel Prize winner is raising alarms about the dangers of uncontrolled and unregulated artificial intelligence.At 77 years old, Geoffrey Hinton has a new calling in life. Like a modern-day prophet, the Nobel Prize winner is raising alarms about the dangers of uncontrolled and unregulated artificial intelligence.Other[#item_full_content]

When Jake Klinkert was growing up, his father suggested that since he loved video games, he should make them. Klinkert took those words to heart and went on to earn a Master of Interactive Technology in Digital Game Development from SMU Guildhall. Now a Ph.D. student in the Computer Science Department at SMU’s Lyle School of Engineering, he is testing large language models (like ChatGPT) to create non-playable characters (NPCs) that act and respond more like real people.When Jake Klinkert was growing up, his father suggested that since he loved video games, he should make them. Klinkert took those words to heart and went on to earn a Master of Interactive Technology in Digital Game Development from SMU Guildhall. Now a Ph.D. student in the Computer Science Department at SMU’s Lyle School of Engineering, he is testing large language models (like ChatGPT) to create non-playable characters (NPCs) that act and respond more like real people.[#item_full_content]

When Jake Klinkert was growing up, his father suggested that since he loved video games, he should make them. Klinkert took those words to heart and went on to earn a Master of Interactive Technology in Digital Game Development from SMU Guildhall. Now a Ph.D. student in the Computer Science Department at SMU’s Lyle School of Engineering, he is testing large language models (like ChatGPT) to create non-playable characters (NPCs) that act and respond more like real people.When Jake Klinkert was growing up, his father suggested that since he loved video games, he should make them. Klinkert took those words to heart and went on to earn a Master of Interactive Technology in Digital Game Development from SMU Guildhall. Now a Ph.D. student in the Computer Science Department at SMU’s Lyle School of Engineering, he is testing large language models (like ChatGPT) to create non-playable characters (NPCs) that act and respond more like real people.Computer Sciences[#item_full_content]

Trillion with a ‘T’? That’s a lot of dollars, Nvidia.

Nvidia reported another massive quarter this week with $46.7 billion in revenue, a 56% year-over-year increase driven almost entirely by AI demand. But despite CEO Jensen Huang’s bold prediction of $3 to 4 trillion in global AI infrastructure spending in the next five years, the stock slid as investors questioned how long this kind of […]Nvidia reported another massive quarter this week with $46.7 billion in revenue, a 56% year-over-year increase driven almost entirely by AI demand. But despite CEO Jensen Huang’s bold prediction of $3 to 4 trillion in global AI infrastructure spending in the next five years, the stock slid as investors questioned how long this kind of[#item_full_content]

Skoltech and MSU scientists have uncovered the advantage gained by microscopic bugs from their feather-like wings that are unlike those of dragonflies, bees, mosquitoes and other familiar insects. A wing largely made up of bristles that stand somewhat apart from each other is lighter than the conventional membranous wing that comes in one piece.Skoltech and MSU scientists have uncovered the advantage gained by microscopic bugs from their feather-like wings that are unlike those of dragonflies, bees, mosquitoes and other familiar insects. A wing largely made up of bristles that stand somewhat apart from each other is lighter than the conventional membranous wing that comes in one piece.[#item_full_content]

From Bigfoot vlogs to algorithmically created personas, hyperrealistic AI content is redefining the boundaries of digital creators. These influencers are entirely virtual personas created using generative AI tools that simulate human features, voices, and behaviors. They post lifestyle content, interact with followers, and even secure brand endorsements—all without existing in the physical world.From Bigfoot vlogs to algorithmically created personas, hyperrealistic AI content is redefining the boundaries of digital creators. These influencers are entirely virtual personas created using generative AI tools that simulate human features, voices, and behaviors. They post lifestyle content, interact with followers, and even secure brand endorsements—all without existing in the physical world.Consumer & Gadgets[#item_full_content]

As AI becomes a ubiquitous part of everyday life, people increasingly understand how it works. Whereas traditional computer programs operate on clear logic—”If A happens, then do B”—AI models, especially neural networks, make decisions that are difficult to trace back to any single rule or line of code. As a result, traditional program analysis techniques such as code review are ineffective in addressing neural networks’ vulnerabilities.As AI becomes a ubiquitous part of everyday life, people increasingly understand how it works. Whereas traditional computer programs operate on clear logic—”If A happens, then do B”—AI models, especially neural networks, make decisions that are difficult to trace back to any single rule or line of code. As a result, traditional program analysis techniques such as code review are ineffective in addressing neural networks’ vulnerabilities.Machine learning & AI[#item_full_content]

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