Illustration is a fundamental mode of human expression and communication. Certain types of motion that accompany speech can provide this illustrative mode of communication. While Augmented and Virtual Reality technologies (AR/VR) have introduced tools for producing drawings with hand motions (air drawing), they typically require costly hardware and additional digital markers, thereby limiting their accessibility and portability. Furthermore, air drawing demands considerable skill to achieve aesthetic results. To address these challenges, we introduce the concept of AirSketch, aimed at generating faithful and visually coherent sketches directly from hand motions, eliminating the need for complicated headsets or markers. We devise a simple augmentation-based self-supervised training procedure, enabling a controllable image diffusion model to learn to translate from highly noisy hand tracking images to clean, aesthetically pleasing sketches, while preserving the essential visual cues from the original tracking data. We present two air drawing datasets to study this problem. Our findings demonstrate that beyond producing photo-realistic images from precise spatial inputs, controllable image diffusion can effectively produce a refined, clear sketch from a noisy input. Our work serves as an initial step towards marker-less air drawing and reveals distinct applications of controllable diffusion models to AirSketch and AR/VR in general.

Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Once artificial intelligence is added to augmented and virtual reality devices, it could take the technology mainstream. Meta CEO Mark Zuckerberg has spent billions of dollars year after year to develop augmented reality (AR) and virtual reality (VR) technologies, without much financial return to show for it. The company has spent north of $80 billion since 2014 on the technologies since acquiring Oculus, a VR hardware startup, including $20 billion in 2024 alone. In that time, it has lost billions on AR/VR, with products like its Quest headset consistently operating at a loss.

These authors present a few critical features for ACMPTC to enhance applications require high bandwidth, ultra-low latency, and its performance--mainly choosing paths with low latency and consistent quality of service (QoS) to deliver seamless, immersive packet loss. It brings a DRL-based agent that can adapt its experiences [2]. Traditional network protocols like the decision to real-time network states and compute dynamic, Transmission Control Protocol (TCP) often struggle to meet optimal choices. This feedback loop, on the other hand, these stringent demands, especially in highly dynamic and allows for real-time path selection and resource allocation that diverse network environments due to single path transmission, enables continuous optimization to provide a smooth AR/VR inadequate for high-bandwidth, low-latency requirement, high experience even with varying network conditions. It confirms latency sensitivity, etc. [3]. These limitations make TCP less that the system operates correctly and provides a way to update effective for dynamic, heterogeneous network environments such a network when there is variation in traffic levels by and the demanding performance needs of modern applications adjusting it effectively.

BENGALURU: With increased adoption of Artificial Intelligence and Machine Learning, companies are now taking advantage of such emerging technologies to drive growth. Dell Technologies is expecting to see a significant impact of these technologies. "The utilization of AI and ML is becoming more widespread as companies seek to take advantage of the benefits these technologies offer. We have been exploring this field and currently have multiple projects, products focused on using AI to improve our business," Ramesh Jampula, VP, IT, India and APJC Regional CIO, Dell Technologies, told this newspaper. Talking about emerging tech such as IoT, multi-cloud, Jampula said businesses have varying needs that influence their IT strategies, but they all share common goals of reducing costs, increasing flexibility and creating new value.

As we will now have to prepare ourselves for migration from Web 2.0 to Web 3.0, it's important to understand the tools and technologies that will play a central role in building a Web 3.0 ecosystem. Although this area is still evolving and will take some more time to come to a mature state, a few technologies have already paved their way into the Web3 world and have been embraced by the Web3 developer communities. Those technologies are Blockchain, some 3D design & modeling tools & platforms, AR/VR and a few other JavaScript & CSS-related packages, and of course AI & Machine Learning. Let's discuss them one by one in a bit more detail. One of the core philosophies driving Web3 is decentralisation, unlike Web2 which works in a centralised fashion.

Is it possible to make money in the market without doing all the hectic analysis? Why can't I just sit back and let my car drive me around? Would it ever be possible to farm without stepping foot on a farmland? Would I ever be able to have 3D calls/meetings with friends and colleagues? These are questions I've pondered over the past decade or so, and they've consistently stirred my passion for all things tech-related.

Note: The article lays basic idea of technology and mode of employments. This in no way relates to investment options. We here are not providing investment advertising. These are purely mere ideas, these don't represent any policy of implementing it by any government. Please don't associate investment with these ideas here.

As the world's most valuable company, with a $2T market cap and over $100B in annual profit, Apple has long been known for its cell phones, laptops, tablets, and watches. Today, the company is investing aggressively in high-tech areas like AR/VR, AI, and semiconductors to lay the groundwork for products and features that affect health & wellness, mobility, digital connections, and more. In recent years, companies in the AR/VR space have become serious M&A targets for Apple, coinciding with rumors about its internal development of a mixed reality headset that is expected to release in 2023 (eventually followed by a sleeker pair of glasses). While Apple has not been explicit about its metaverse ambitions like fellow big tech giant Meta, its continued investment in AR/VR sets it up for more immersive digital environments of the future -- and the hardware they may need. II-VI makes the optical technologies that power features like Face ID and Portrait mode, as well as the lasers used in Apple's LiDAR Scanner, which is used to create AR experiences.

We mined Apple's acquisitions, investments, and partnerships to discern the company's emerging strategic priorities. Apple is looking for the next big thing. As the world's most valuable company, with a $2T market cap and over $100B in annual profit, Apple has long been known for its cell phones, laptops, tablets, and watches. Today, the company is investing aggressively in high-tech areas like AR/VR, AI, and semiconductors to lay the groundwork for products and features that affect health & wellness, mobility, digital connections, and more. Download our full report to find out the top trends poised to reshape industries in 2022.

With the rapid pace of innovation continually disrupting business models, and in many cases entire industries, how will online learning keep up to provide the relevant courseware for today's and tomorrow's workforce? This will be essential for economic growth and to support a thriving, college-educated workforce that's equipped with the very latest knowledge, ideas and technology. In the future, I believe that institutions at the forefront of online education will be recognized via several capabilities which will have digitally transformed today's EdTech market. They will include a powerful combination of omni-channel learning pathways, cognitive courseware, virtual counselors and AI-enabled course development and grading. These innovations, underpinned by artificial intelligence (AI), will help to provide students the ultimate choice in their courseware – including up-to-the-minute courses on high-interest/high-growth subject matter – as well as highly-innovative digital services that support them every step of the way to help maximize their success and personal objectives.