The world of artificial intelligence (AI) has recently seen significant advancements in generative models, a type of machine-learning algorithm that “learns” patterns from sets of data in order to generate new, similar sets of data. Generative models are often used for things like drawing images and natural language generation—a famous example are the models used to develop chatGPT.The world of artificial intelligence (AI) has recently seen significant advancements in generative models, a type of machine-learning algorithm that “learns” patterns from sets of data in order to generate new, similar sets of data. Generative models are often used for things like drawing images and natural language generation—a famous example are the models used to develop chatGPT.Machine learning & AI[#item_full_content]

Researchers at Edith Cowan University (ECU) are developing new computer tracking technology that takes data from camera footage to detect whether a driver is impaired by alcohol or not when they get behind the wheel.Researchers at Edith Cowan University (ECU) are developing new computer tracking technology that takes data from camera footage to detect whether a driver is impaired by alcohol or not when they get behind the wheel.Automotive[#item_full_content]

Imagine a future where your phone pings with a message that your dead father’s “digital immortal” bot is ready. This promise of chatting with a virtual version of your loved one—perhaps through a virtual reality (VR) headset—is like stepping into a sci-fi movie, both thrilling and a bit eerie.Imagine a future where your phone pings with a message that your dead father’s “digital immortal” bot is ready. This promise of chatting with a virtual version of your loved one—perhaps through a virtual reality (VR) headset—is like stepping into a sci-fi movie, both thrilling and a bit eerie.Business[#item_full_content]

Researchers have developed a new approach to AI security that employs text prompts to better protect AI systems from cyber threats. This method focuses on the creation of adversarial examples to prevent AI from being misled by inputs that are typically undetectable to humans.Researchers have developed a new approach to AI security that employs text prompts to better protect AI systems from cyber threats. This method focuses on the creation of adversarial examples to prevent AI from being misled by inputs that are typically undetectable to humans.Security[#item_full_content]

Image generator models—systems that produce new images based on textual descriptions—have become a common and well-known phenomenon in the past year. Their continuous improvement, largely relying on developments in the field of artificial intelligence, makes them an important resource in various fields.Image generator models—systems that produce new images based on textual descriptions—have become a common and well-known phenomenon in the past year. Their continuous improvement, largely relying on developments in the field of artificial intelligence, makes them an important resource in various fields.Computer Sciences[#item_full_content]

University of Texas at Dallas researchers have developed an artificial intelligence (AI) model that could help electrical grids prevent power outages by automatically rerouting electricity in milliseconds.University of Texas at Dallas researchers have developed an artificial intelligence (AI) model that could help electrical grids prevent power outages by automatically rerouting electricity in milliseconds.Energy & Green Tech[#item_full_content]

For four years, Jacob Hilton worked for one of the most influential startups in the Bay Area—OpenAI. His research helped test and improve the truthfulness of AI models such as ChatGPT. He believes artificial intelligence can benefit society, but he also recognizes the serious risks if the technology is left unchecked.For four years, Jacob Hilton worked for one of the most influential startups in the Bay Area—OpenAI. His research helped test and improve the truthfulness of AI models such as ChatGPT. He believes artificial intelligence can benefit society, but he also recognizes the serious risks if the technology is left unchecked.Business[#item_full_content]

For a few days, AI chip juggernaut Nvidia sat on the throne as the world’s biggest company, but behind its staggering success are questions on whether new entrants can stake a claim to the artificial intelligence bonanza.For a few days, AI chip juggernaut Nvidia sat on the throne as the world’s biggest company, but behind its staggering success are questions on whether new entrants can stake a claim to the artificial intelligence bonanza.Business[#item_full_content]

While seeking research internships last year, University of Washington graduate student Kate Glazko noticed recruiters posting online that they’d used OpenAI’s ChatGPT and other artificial intelligence tools to summarize resumes and rank candidates. Automated screening has been commonplace in hiring for decades. Yet Glazko, a doctoral student in the UW’s Paul G. Allen School of Computer Science & Engineering, studies how generative AI can replicate and amplify real-world biases—such as those against disabled people. How might such a system, she wondered, rank resumes that implied someone had a disability?While seeking research internships last year, University of Washington graduate student Kate Glazko noticed recruiters posting online that they’d used OpenAI’s ChatGPT and other artificial intelligence tools to summarize resumes and rank candidates. Automated screening has been commonplace in hiring for decades. Yet Glazko, a doctoral student in the UW’s Paul G. Allen School of Computer Science & Engineering, studies how generative AI can replicate and amplify real-world biases—such as those against disabled people. How might such a system, she wondered, rank resumes that implied someone had a disability?Machine learning & AI[#item_full_content]

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]