Humane, a company started by two former Apple employees, says its new artificial intelligence pin can stop all the scrolling. Can it live up to the hype?
“I SEE IT AS TAKING BACK SOME OF THE POWER THAT’S BEEN CEDED TO THE COMPANIES OVER THE YEARS.”
Applying for a job has always been a frustrating task, and employers getting deluged with a huge number of online applications is making the process more painful than ever.
Software engineer Julian Joseph applied to 5,000 jobs using an AI tool called LazyApply. He got 20 interviews.
Historian and Sapiens author says sophistication of technology makes it difficult to forecast its dangers.
It’s no secret that foundation models have transformed AI in the digital world. Large language models (LLMs) like ChatGPT, LLaMA, and Bard revolutionized AI for language. While OpenAI’s GPT models aren’t the only large language model available, they have achieved the most mainstream recognition for taking text and image inputs and delivering human-like responses — even with some tasks requiring complex problem-solving and advanced reasoning.
ChatGPT’s viral and widespread adoption has largely shaped how society understands this new moment for artificial intelligence.
The next advancement that will define AI for generations is robotics. Building AI-powered robots that can learn how to interact with the physical world will enhance all forms of repetitive work in sectors ranging from logistics, transportation, and manufacturing to retail, agriculture, and even healthcare. It will also unlock as many efficiencies in the physical world as we’ve seen in the digital world over the past few decades.
Will AI put game developers out of business? Find out why we think so after developing a new udemy course “Fast and Furious Game Dev with JavaScript and AI.”
DBS delivers electric currents to an electrode implanted in the brain.
Neurotechnology – or – while still an emerging industry, has attracted both major capital investments, and extensive media coverage in recent years. As tech relentlessly searches for the next “big tech platform” in the aftermath of the smartphone era [1], we propose that the answer may lie within our own minds. At NTX Services, we definenology as any technological intervention that interacts with the brain or central nervous system either directly or indirectly, and as attempts to integrate human and machine to enhance both, applications of the technology are broad ranging.
Often described as a new field, is actually based on decades of academic research, previously held back from commercialization at scale due to technological limitations, and slow changes in government policies and regulations. Although humans have been researching the brain and its bioelectrical signals since the 1600s [2], the first major breakthrough in was the invention of the electroencephalogram (EEG) by Hans Berger in 1929 [3]. Since this initial invention, several key developments have influenced the evolution of the industry until 2016, when Neuralink was founded [4].
This week Sing For Science and Science Friday are joining forces to bring you a new episode of Universe of Art. Learn how Star Trek incorporates real-life science.
Each iteration of ChatGPT has demonstrated remarkable step function capabilities. But what’s next? Ilya Sutskever, Co-Founder & Chief Scientist at OpenAI, joins Sarah Guo and Elad Gil to discuss the origins of OpenAI as a capped profit company, early emergent behaviors of GPT models, the token scarcity issue, next frontiers of AI research, his argument for working on AI safety now, and the premise of Superalignment. Plus, how do we define digital life?
Ilya Sutskever is Co-founder and Chief Scientist of OpenAI. He leads research at OpenAI and is one of the architects behind the GPT models. He co-leads OpenAI’s new “Superalignment” project, which tries to solve the alignment of superintelligences in 4 years. Prior to OpenAI, Ilya was co-inventor of AlexNet and Sequence to Sequence Learning. He earned his Ph.D in Computer Science from the University of Toronto.
Information transfer in free space using ultraviolet, visible, or infrared waves has been gaining interest because of the availability of large bandwidth for high-data-rate communication. However, the presence of opaque occlusions or walls along the path between the transmitter and the receiver often impedes information transfer by blocking the direct line of sight.
In a new article published in Nature Communications, a team of researchers at UCLA Samueli School of Engineering and the California NanoSystems Institute, led by Dr. Aydogan Ozcan, the Chancellor’s Professor of Electrical & Computer Engineering, and Dr. Mona Jarrahi, the Northrop Grumman Endowed Chair at UCLA, has reported a fundamentally new method for delivering optical information around arbitrarily shaped opaque occlusions or walls.
This method permits the transmission of optical information, for example, images, around large and dynamically changing opaque occlusions. It is based on digital encoding at the transmitter and diffractive all-optical decoding at the receiver for transferring information around arbitrary opaque occlusions that completely block the direct line of sight between the transmitter and the receiver apertures.
