It all started at a Denny’s in San Jose in 1993. Three engineers—Jensen Huang, Chris Malachowsky and Curtis Priem—gathered at the diner in what is now the heart of Silicon Valley to discuss building a computer chip that would make graphics for video games faster and more realistic. That conversation, and the ones that followed, led to the founding of Nvidia, the tech company that soared through the ranks of the stock market to briefly top Microsoft as the most valuable company in the S&P 500 this week.It all started at a Denny’s in San Jose in 1993. Three engineers—Jensen Huang, Chris Malachowsky and Curtis Priem—gathered at the diner in what is now the heart of Silicon Valley to discuss building a computer chip that would make graphics for video games faster and more realistic. That conversation, and the ones that followed, led to the founding of Nvidia, the tech company that soared through the ranks of the stock market to briefly top Microsoft as the most valuable company in the S&P 500 this week.Machine learning & AI[#item_full_content]

Predicting extreme events is essential to the preparation and protection of vulnerable regions, especially at a time of climate change. The city of Santos on the coast of São Paulo state (Brazil) is Latin America’s largest port and has been the focus for significant case studies, not least because of the storm surges that threaten its infrastructure and the local ecosystems.Predicting extreme events is essential to the preparation and protection of vulnerable regions, especially at a time of climate change. The city of Santos on the coast of São Paulo state (Brazil) is Latin America’s largest port and has been the focus for significant case studies, not least because of the storm surges that threaten its infrastructure and the local ecosystems.Hi Tech & Innovation[#item_full_content]

Vanderbilt researchers have developed an innovative software system incorporating artificial intelligence that aims to improve the efficiency of public transportation for individuals with special needs.Vanderbilt researchers have developed an innovative software system incorporating artificial intelligence that aims to improve the efficiency of public transportation for individuals with special needs.Automotive[#item_full_content]

As organizations increasingly rely on networks, online platforms, data and technology, the risks associated with data breaches and privacy violations are more severe than ever. Couple this with the escalating frequency and sophistication of cyber threats and it becomes clear that fortifying cybersecurity defenses has never been more important.As organizations increasingly rely on networks, online platforms, data and technology, the risks associated with data breaches and privacy violations are more severe than ever. Couple this with the escalating frequency and sophistication of cyber threats and it becomes clear that fortifying cybersecurity defenses has never been more important.Security[#item_full_content]

A small team of AI researchers at Google’s DeepMind project has found that LLMs are not very good at writing jokes that are funny. They asked stand-up comedians to use LLMs to write a stand-up routine for them and posted their findings on the arXiv preprint server.A small team of AI researchers at Google’s DeepMind project has found that LLMs are not very good at writing jokes that are funny. They asked stand-up comedians to use LLMs to write a stand-up routine for them and posted their findings on the arXiv preprint server.Computer Sciences[#item_full_content]

Jared Coleman, who recently earned his Ph.D. in computer science, and his supervisor, Bhaskar Krishnamachari, are bound by a shared love of languages—both human and computer.Jared Coleman, who recently earned his Ph.D. in computer science, and his supervisor, Bhaskar Krishnamachari, are bound by a shared love of languages—both human and computer.Machine learning & AI[#item_full_content]

The real world possesses many challenges for AI missions. One of those challenges is the requirement that machines will be able to recognize and quickly learn new objects which they have not seen before. An AI robust to changes will be of great use in quickly adapting to a dynamic reality, be it a robot recognizing new products at a grocery store or a self-driving car interacting with new road signs or objects around it.The real world possesses many challenges for AI missions. One of those challenges is the requirement that machines will be able to recognize and quickly learn new objects which they have not seen before. An AI robust to changes will be of great use in quickly adapting to a dynamic reality, be it a robot recognizing new products at a grocery store or a self-driving car interacting with new road signs or objects around it.Machine learning & AI[#item_full_content]

For the first time, scientists have succeeded in creating a self-driving forest machine controlled by artificial intelligence. In a study at Umeå University, an AI system was developed that can operate a 16-ton machine without human intervention.For the first time, scientists have succeeded in creating a self-driving forest machine controlled by artificial intelligence. In a study at Umeå University, an AI system was developed that can operate a 16-ton machine without human intervention.Automotive[#item_full_content]

Medium and large-scale construction projects will have a better chance of success if they are able to adhere to a set of success criteria, new research from Edith Cowan University (ECU) found.Medium and large-scale construction projects will have a better chance of success if they are able to adhere to a set of success criteria, new research from Edith Cowan University (ECU) found.Engineering[#item_full_content]

In recent years, neural methods have become widespread in camera-based reconstructions. In most cases, however, hundreds of camera perspectives are needed. Meanwhile, conventional photometric methods exist which can compute highly precise reconstructions even from objects with textureless surfaces. However, these typically work only under controlled lab conditions.In recent years, neural methods have become widespread in camera-based reconstructions. In most cases, however, hundreds of camera perspectives are needed. Meanwhile, conventional photometric methods exist which can compute highly precise reconstructions even from objects with textureless surfaces. However, these typically work only under controlled lab conditions.Computer Sciences[#item_full_content]