Lifeboat Foundation

Siren is a digital human that showcases the potential of 3D/4D scanning technology for digitizing human appearance and motion with unprecedented realism.

Epic Games Inc. is a leading developer of the popular video game engine Unreal Engine. Recently, the company launched the highly anticipated MetaHuman Creator, a tool for creating high-fidelity digital humans for various applications including video games, film and more. The MetaHuman Creator is powered by advanced motion capture and rendering technology, enabling creators to create lifelike characters that can be customized and animated for various uses.

The advancement of digital humans is disrupting our world in profound and unpredictable ways. As they become increasingly intelligent, empathetic and capable, they will reshape businesses, society and human relationships at every level.

The current education landscape requires close collaboration between edtech and AI developers to leverage their expertise and maximize the impact of AI technology in the sector. It also aims to avoid the negative consequences of redundant efforts, wasted resources and less effective solutions. By effectively applying best practices such as clear communication, alignment of goals, and interdisciplinary collaboration, edtech and AI developers can develop innovative, scalable and effective solutions. The “AI and the Future of Learning: Expert Panel Report” underscores key strategies for successful collaboration between edtech and AI developers. The report highlights key strengths and weaknesses of AI as well as the respective opportunities and barriers to employing AI technologies in the education sector.

Education plays a critical role in promoting social and economic development in a region, and when communities recognize its potential, they are more likely to support educational reforms. These reforms can address any challenges in the sector, such as funding constraints, lack of access to quality education and cultural attitudes that may deny education to particular groups. With the increased adoption of AI in the education sector, potential future developments—including ITS, adaptive assessment, gamification and the use of machine learning—can promote the efficiency of personalized learning.

In the long run, the collaboration between edtech and AI developers holds great potential for transforming education and improving learning outcomes. For this to happen, it is necessary to establish industry standards for AI in education, foster interdisciplinary collaboration between educators and AI experts, and invest in research on AI’s impact on learning outcomes. In this way, we can ensure that AI-powered tools are used effectively and ethically to improve student learning in the 21st century.

TNW spoke with futurist Nick Foster about the danger of designing the future with sci-fi in mind and why mundanity is far more exciting.

Former Google engineer and esteemed futurist Ray Kurzweil has made another bold prediction: Immortality is within reach for humans by 2030, thanks to the help of nanorobots. You read that right — humans could potentially live forever, according to Kurzweil.

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Kurzweil, who has a track record of accurate predictions such as foreseeing a computer beating humans in chess by 2000, shared his prediction in a recent YouTube series by tech vlogger Adagio. The 75-year-old computer scientist believes that advancements in genetics, robotics and nanotechnology will allow tiny robots to run through veins, repairing any damage and keeping people alive indefinitely.

Two improvements are launching in Bard to help you get more accurate responses and export to Google Sheets.

Imagine, if you will, a digital doppelgänger. A clone that looks, talks and behaves just like you, created from the depths of artificial intelligence, reflecting your every mannerism with eerie precision. As thrilling as it might sound, how would you feel about it?

Our research at the University of British Columbia turns the spotlight onto this very question. With advancements in deep-learning technologies such as interactive deepfake applications, voice conversion and virtual actors, it’s possible to digitally replicate an individual’s appearance and behavior.

This mirror image of an individual created by artificial intelligence is referred to as an “AI clone.” Our study dives into the murky waters of what these AI clones could mean for our self-perception, relationships and society. In our paper published as part of the Proceedings of the ACM on Human-Computer Interaction, we identified three types of risks posed by AI replicas: doppelgänger-phobia, identity fragmentation and living memories.

The total radio emission from billions of mobile phones is becoming quite significant. Could it be picked up by a distant alien civilization?

Imagine the possibility of life forms on other planets that don’t resemble any on Earth. What might they look like, and why would they be so different?

Juan Pérez-Mercader says it may be possible and the answer may be that they developed from a different type of chemistry. For more than 10 years, the senior research fellow in the Department of Earth & Planetary Sciences and the Origins of Life Initiative at Harvard has studied how to produce synthetic living systems—without relying on biochemistry, or the chemistry that has enabled life on Earth.

“We have been trying to build a non-biochemical system, which unaided is capable of executing the essential properties common to all natural living systems,” Pérez-Mercader explained.

Following the announcement of Vision Pro at WWDC yesterday, Apple is providing more details about the headset itself and the visionOS software platform in developer sessions. In a session on Tuesday, called “Design for spatial input,” Apple showcased two ways to interact with Vision Pro: a floating in-air keyboard and pairing a keyboard via Bluetooth.

Text input has been one of the most common questions about Vision Pro so far. In this WWDC session for developers, Apple points out two ways users can input text with Vision Pro.

First, you can type using a virtual keyboard with your fingertips. Apple explains that the keyboard’s design is meant to help guide users toward the button surface. The experience also includes feedback via spatial sound effects to “compensate for the missing tactile information.”