Artificial Intelligence.
AI is nothing without elemental humanity.
It’s not AI; it’s HI.
Category: robotics/AI – Page 536
In today’s tech-savvy world, we’re surrounded by mind-blowing AI-powered wonders: voice assistants answering our questions, smart cameras identifying faces, and self-driving cars navigating roads.
Curious about optimizing AI for everyday devices? Dive into the complete overview of MIT’s TinyML and Efficient Deep Learning Computing course. Explore strategies to make AI smarter on small devices. Read the full article for an in-depth look!
TOKYO — Nikon, Sony Group and Canon are developing camera technology that embeds digital signatures in images so that they can be distinguished from increasingly sophisticated fakes.
Nikon will offer mirrorless cameras with authentication technology for photojournalists and other professionals. The tamper-resistant digital signatures will include such information as date, time, location and photographer.
Machine learning could also help us create more data to study. By identifying perhaps as many as 10 times more earthquakes in seismic data than we are aware of, Beroza, Mousavi, and Margarita Segou, a researcher at the British Geological Survey, determined that machine learning is useful for creating more robust databases of earthquakes that have occurred; they published their findings in a 2021 paper for Nature Communications. These improved data sets can help us—and machines—understand earthquakes better.
“You know, there’s tremendous skepticism in our community, with good reason,” Johnson says. “But I think this is allowing us to see and analyze data and realize what those data contain in ways we never could have imagined.”
While some researchers are relying on the most current technology, others are looking back at history to formulate some pretty radical studies based on animals. One of the shirts I collected over 10 years of attending geophysics conferences features the namazu, a giant mythical catfish that in Japan was believed to generate earthquakes by swimming beneath Earth’s crust.
The US is trying its best to slow China down.
However, an equally serious challenger has now emerged in the form of SEIDA, a Chinese startup founded by a veteran Silicon Valley software executive.
Liguo “Recoo” Zhang, the CEO of SEIDA, and three other Chinese-born colleagues left Siemens EDA, a U.S. unit of Siemens AG, aiming to break the foreign monopoly on Optical Proximity Correction (OPC) technology, reported Reuters.
The OPC tool is indispensable for designing advanced chips crucial for emerging technologies like artificial intelligence and quantum computing. SEIDA’s bold pitch attracted powerful Chinese investors, including Semiconductor Manufacturing International Corp (SMIC), a leading Chinese microchip maker with alleged ties to China’s military.
It’s no surprise that educators have an uneasy relationship with generative AI.
Education has always been centered around the human element, and it’s hard to imagine a world where machines can replace that.
Generative AI has sparked a tremendous backlash across the internet, as the early promise of the technology has been overshadowed by the wide range of problems it has introduced.
It’s true that no artist was asked if their work could be used to train these models. But even if the courts rule in favor of the machines, the practical application of the technology doesn’t seem worth the cost.
Generative AI is incredibly energy-intensive, surprisingly labor-intensive, and requires constant input — annotation — from human workers to keep it functional, lest it spiral into hallucinogenic nonsense.
Using ChatGPT for a playful Q&A session consumes an absurd amount of water; exchanging a mere 20 questions with the text generator is akin to pouring a 500ml bottle of clean freshwater down the drain.
The Chinese automaker sold over 3 million clean energy vehicles, with Tesla reporting just 1.35 million in the first three quarters of the year.
Chinese electric vehicle company Build Your Dreams (BYD) is set to become the largest EV maker in 2023, overtaking Tesla for the second year in a row.
BYD’s strategy of manufacturing budget-friendly vehicles has facilitated its expansion not only within China but also in international markets.
Square Enix is using AI to increase productivity.
“In the short term, our goal will be to enhance our development productivity and achieve greater sophistication in our marketing efforts,” Kiryu continuted. “In the longer term, we hope to leverage those technologies to create new forms of content for consumers, as we believe that technological innovation represents business opportunities.”
On the publishing front, Kiryu reveals the company wants to “enable greater global collaboration and to promote the shift to digital.” The team hopes this will allow them to not only gives them the chance to “maximize our sales of new titles, but also to deliver our rich back catalog to more customers and in turn to expand the fan base for our Group’s intellectual properties (IPs).”
There is also a desire to put plans in place to ensure for easier and greater collaboration between the development and publishing teams at Square Enix in hopes this will make its “customers even happier than ever before.”