Nvidia has announced several significant advances and partnerships to extend the Omniverse into scientific applications on top of high-performance computer (HPC) systems. This will support scientific digital twins that join together data silos currently existing across different apps, models, instruments and user experiences. This work will expand upon Nvidia’s progress in building out the Omniverse for entertainment, industry, infrastructure, robotics, self-driving cars and medicine.
The Omniverse platform uses special-purpose connectors to dynamically translate and align 3D data from dozens of formats and applications on the fly. Changes in one tool, application or sensor are dynamically reflected in other tools and views that look at the same building, factory, road or human body from different perspectives.
LG Display has unveiled a stretchable display form factor it says surpasses existing foldable and rollable technology. Based on a highly resilient film-type substrate made of silicon used in contact lenses, LG’s 12-inch prototype stretches to up to 14 inches. The stretchable display uses a MicroLED light source with full-color RGB and resolution of 100ppi that LG says “competes with most existing monitors.” It’s spring-wired frame gives it the durability to withstand repetitive changes to form as well as significant external impact, LG adds, describing a consistency “similar to that of a rubber band.”
The self-proclaimed “international narcissist” Me the Drag Queen will be hitting the stage at The George performing a double act called Zizi & Me with their deepfake clone.
In honour of this year’s Science Week theme, ‘Infinite Possibilities’, project artist Jake Elwes paired up with Me the Drag Queen to use artificial intelligence to create a clone of the drag queen through video-to-video synthesis. To achieve this, they used film footage of the performer to train a programme to create a virtual body that can be controlled by feeding it new reference movements.
This unique performance is aiming to use cabaret and musical theatre to challenge narratives surrounding artificial intelligence and society. The show will be accompanied by an informative talk by Jake Elwes about what artificial intelligence can teach us about drag, and what drag can teach us about artificial intelligence.
... The companies in this year's program focus on a range of technologies in areas such as augmented reality (AR), non-fungible tokens (NFTs) and artificial intelligence (AI) virtual characters. ...
Disney has always used new technology to enable world-class storytelling and to help redefine and advance entertainment. As the company focuses on its next-generation storytelling efforts, Disney will continue to explore how these types of new canvasses and techniques can help create connected experiences across physical, digital and virtual worlds. ...
Inworld AI: Inworld allows users to create interactive, AI-driven characters for immersive experiences. Today, Inworld announced that it is in conversations with ILMxLAB, Lucasfilm's immersive storytelling studio, to build developer tools for creating characters at scale in immersive worlds. Additionally, Inworld is exploring the development of an AI personality for Disney Star's DisneyStarverse platform. At today's Demo Day, Inworld demonstrated a 'Droid Maker' prototype that the company created in collaboration with ILMxLAB. ...
Polygon: Polygon is a business layer for blockchain technology that allows developers and enterprises to build Web3 experiences. Polygon is working with Disney on developing a proof of concept for exclusive digital collectibles to recognize Disney employees during special occasions.
Red 6: Red 6 is an AR company that has created a patented headset and interface that works outdoors in dynamic, high-performance environments. Walt Disney Imagineering and Industrial Light & Magic (ILM) are exploring opportunities to bring this technology into our story-driven environments for next generation experiences of the future. ...
... A large language model trained in 2019 might assign a higher probability to Theresa May than Boris Johnson when prompted. Who is the Prime Minister of the United Kingdom? ...
... fine-tuning on a single sample tends to overfit, even when the distance between the pre-and post-fine-tuning parameters is limited. ...
Researchers present a bi-level meta-learning objective for determining a model initialization for which standard fine-tuning on a single edit example yields valuable modifications.
While practical, the computational requirements of learning such an editable representation make scaling to large models difficult, where fast, effective edits are most required. Researchers describe a computationally efficient learning-based alternative, but their experiments fail to edit huge models. As a result, they devise a method for producing reliable, local, and general edits while efficiently scaling to models with over 10 billion parameters. When given the standard fine-tuning gradient of a given correction as input, their approach trains lightweight model editor networks to produce edits to a pre-trained model’s weights, leveraging the gradient as an information-rich starting point for editing. ...
This work’s main contribution is a scalable algorithm for fast model editing that can edit huge pre-trained language models by leveraging the low-rank structure of fine-tuning gradients. They conduct empirical evaluations on various language-related tasks and transformer models, demonstrating that MEND is the only algorithm capable of consistently editing the most significant GPT-style and T5 language models. Finally, their ablation experiments illustrate the impact of MEND’s key components, demonstrating that MEND variants are likely to scale to models with hundreds of billions of parameters. The code implementation is freely available on GitHub.
... robots will be able to assist in the maintenance of casino equipment and can even be used to create new and innovative games. ...
The negative consequences of using robots in casinos
Another concern is that robots could potentially cheat or otherwise take advantage of casino patrons. This could lead to people losing faith in the fairness of casinos, and ultimately result in fewer people patronizing them. ...
... And the White House just released a blueprint for an AI Bill of Rights to “protect the American public in the age of artificial intelligence.” ...
Schmidt talked about the core challenge of defining what our society wants to gain from AI, and called for a balance between regulating AI and investing in innovation. ...
Schmidt said a naive utopianism often accompanies technological innovation. “This ... goes back to the way tech works: A bunch of people have similar backgrounds, build tools that make sense to them without understanding that these tools will be used for other people in other ways,” he said.
We should learn from these mistakes, Schmidt said. ...
“Academics wrote all sorts of stuff about bias because that's the thing that they could frame. But that's not the real issue. The real issue is that when you start to manipulate the information space, you manipulate human behavior.” ...
Starting a productive discussion on regulation
One of the core challenges right now, according to Schmidt, is that we don’t have a clear definition of what we, as a society, want from AI. What role should it fill? What applications are appropriate? “If you can’t define what you want, it’s very hard to say how you’d regulate it,” he said. ...
“Let’s assume that we got such a list — which we don't have right now ... How are you going to get the CEOs of the companies who are, independent of what they say, driven by revenue ... to agree on anything?” Schmidt asked. ...
Government should do more than regulate
The role of government is not simply to regulate AI, Schmidt said. It must simultaneously promote the technology. Alongside a regulatory plan, Schmidt suggested every country should have a “how-do-we-win-AI” plan.
The particular case of social media
“I’ve been a CEO for more than 20 years. CEOs care a lot about revenue,” Schmidt said. “And the revenue comes from engagement. Engagement comes from outrage.”
To rein in this problem, Schmidt offered a suggestion rooted in his preferences for free speech: People should be permitted to say what they want, but algorithms should be more discerning in what they boost. ... “Everyone gets their opinion, but not everyone gets a megaphone,” he said. ...
Schmidt noted that TikTok found itself facing a problem of toxic content polluting its video streams and detracting from the platform’s entertainment value. In response, the company developed an AI algorithm that finds and mutes toxic content. He suggested every social media company will need to do this going forward.
“And then once these things are in place, they have to become either an industry standard or a regulated standard,” Schmidt said. The stakes extend beyond entertainment and revenue. “If we don’t solve this problem, we’re going to lose our democracies,” he said. ...
