Non-invasive — just reading brainwaves.
🔗🔗 Links 🔗🔗
Decoding speech perception from non-invasive brain recordings.
Non-invasive — just reading brainwaves.
🔗🔗 Links 🔗🔗
Decoding speech perception from non-invasive brain recordings.
What would we do without compression?
Those music libraries and personal photo and video collections that would force us to purchase one hard drive after another can instead be squeezed into portions of a single drive.
Compression allows us to pull up volumes of data from the Internet virtually instantaneously.
Over the past few years, we have taken a gigantic leap forward in our decades-long quest to build intelligent machines: the advent of the large language model, or LLM.
This technology, based on research that tries to model the human brain, has led to a new field known as generative AI — software that can create plausible and sophisticated text, images and computer code at a level that mimics human ability.
Businesses around the world have begun to experiment with the new technology in the belief it could transform media, finance, law and professional services, as well as public services such as education. The LLM is underpinned by a scientific development known as the transformer model, made by Google researchers in 2017.
Missions to the Moon, missions to Mars, robotic explorers to the outer Solar System, a mission to the nearest star, and maybe even a spacecraft to catch up to interstellar objects passing through our system. If you think this sounds like a description of the coming age of space exploration, then you’d be correct! At this moment, there are multiple plans and proposals for missions that will send astronauts and/or probes to all of these destinations to conduct some of the most lucrative scientific research ever performed. Naturally, these mission profiles raise all kinds of challenges, not the least of which is propulsion.
Simply put, humanity is reaching the limits of what conventional (chemical) propulsion can do. To send missions to Mars and other deep space destinations, advanced propulsion technologies are required that offer high acceleration (delta-v), specific impulse (Isp), and fuel efficiency. In a recent paper, Leiden Professor Florian Neukart proposes how future missions could rely on a novel propulsion concept known as the Magnetic Fusion Plasma Drive (MFPD). This device combines aspects of different propulsion methods to create a system that offers high energy density and fuel efficiency significantly greater than conventional methods.
Florian Neukart is an Assistant Professor with the Leiden Institute of Advanced Computer Science (LIACS) at Leiden University and a Board Member of the Swiss quantum technology developer Terra Quantum AG. The preprint of his paper recently appeared online and is being reviewed for publication in Elsevier. According to Neukart, technologies that can surmount conventional chemical propulsion (CCP) are paramount in the present era of space exploration. In particular, these technologies must offer greater energy efficiency, thrust, and capability for long-duration missions.
WIRED asked experts from all corners of society and academia to answer questions about the future of technology, artificial intelligence, and humanity itself.
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The use of artificial intelligence has played an important role in science teaching and learning. The purpose of this study was to fill a gap in the current review of research on AI in science education (AISE) in the early stage of education by systematically reviewing existing research in this area. This systematic review examined the trends and research foci of AI in the science of early stages of education. This review study employed a bibliometric analysis and content analysis to examine the characteristics of 76 studies on Artificial Intelligence in Science Education (AISE) indexed in Web of Science and Scopus from 2013 to 2023. The analytical tool CiteSpace was utilized for the analysis.
Like Tom Hanks, victims of AI-generated trickery will need help getting out the message that they are not the ones who generated the content that’s being ascribed to them. The value of human expertise and decision-making in crisis management will become even more evident.
The AI revolution will have permanent repercussions beyond anything we can perhaps imagine today. Soon, organizations exploring and implementing the use of AI will invite unprecedented levels of risk.
Deepfake AI is now being used to create voice clones, convincing images and video hoaxes, all of which can be used to destroy an individual’s reputation or livelihood.
Artificial intelligence (AI) and emerging technologies have ushered in a new era, bringing unprecedented opportunities and challenges. In today’s rapidly evolving digital landscape, addressing these multifaceted challenges necessitates a collaborative effort spanning various sectors and calls for policy reforms while emphasizing global cooperation.
The rapid advancement of technologies, particularly artificial intelligence, has introduced transformative possibilities alongside a range of concerns. While AI holds the potential to revolutionize industries and enhance our daily lives, it also raises pressing issues related to data privacy, misinformation, and cybersecurity.
Experts have proposed adopting the “information environment” framework to address these multifaceted challenges. This framework comprises three essential components:
Google DeepMind and academic partners have unveiled an AI that trains robots for generalized tasks using the “Open X-Embodiment” dataset. ConceptGraphs, on the other hand, offers a new 3D scene representation, improving robot perception and planning by combining vision and language.
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AI news timestamps:
0:00 Google DeepMind RT-2-X
4:33 ConceptGraphs AI Robot Vision.
#google #ai #robot
To build the supercomputer that powers OpenAI’s projects, Microsoft says it linked together thousands of Nvidia graphics processing units (GPUs) on its Azure cloud computing platform. In turn, this allowed OpenAI to train increasingly powerful models and “unlocked the AI capabilities” of tools like ChatGPT and Bing.
Scott Guthrie, Microsoft’s vice president of AI and cloud, said the company spent several hundreds of millions of dollars on the project, according to a statement given to Bloomberg. And while that may seem like a drop in the bucket for Microsoft, which recently extended its multiyear, multibillion-dollar investment in OpenAI, it certainly demonstrates that it’s willing to throw even more money at the AI space.