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ICYMI: the week’s 7 biggest tech stories, from Meta Horizon OS to 2024 iPad launch date

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If you’ve lost track of this week’s most important tech news then don’t fret, as we’re here to catch you up to speed – and this is one week you won’t want to have missed.

We say that because some major things have happened in the last seven days. Meta announced that it’s sharing its Horizon OS with other VR headset makers – which is the biggest announcement it will likely make this decade – Apple teased its 2024 iPad lines and gave us a launch date for them, and DJI gave us a release date for its cheapest-ever 4K drone.

And here at TechRadar we hosted our first Sustainability Week, producing a whole host of articles showcasing some fantastic examples of how the tech industry is focusing on sustainability – and a few instances where it still needs to do better.

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Samsung XR headset to face stiff competition as Meta opens Horizon OS for other brands

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Apple was the first big-name consumer electronics brand to launch a mixed-reality headset. Samsung is expected to launch its own mixed-reality headset later this year. However, by the time Samsung launches its device, it might face stiff competition from brands like ASUS, Lenovo, and even Microsoft.

Meta opens up Horizon OS for third-party AR/MR/VR headsets

Meta Horizon OS Logo

In a major move, Facebook owner Meta has renamed the Android-based operating system used on its Quest MR/VR headsets to Horizon OS. Moreover, it has opened up the operating system to third-party brands. Horizon OS will now be used on MR/VR headsets from ASUS ROG, Lenovo, and Microsoft.

Lenovo VR Headset Horizon OS

ASUS is building multiple performance gaming headsets, while Lenovo is developing a mixed-reality headset for entertainment, learning, and productivity. Meta is collaborating with Microsoft to build a Quest headset inspired by Xbox.

Meta is also calling Google to bring the Play Store to Horizon OS. Moreover, it plans to promote apps made using Quest App Lab on the Horizon Store. Meta is also building a spatial framework to let mobile app developers build mixed-reality apps for headsets using Horizon OS.

Samsung’s XR headset could use Android OS optimized for mixed-reality

Samsung has already announced that it is building an XR device (likely a mixed-reality headset) in collaboration with Google and Qualcomm. It will likely use a version of Android that is optimized for mixed-reality headsets and a Qualcomm processor from the Snapdragon XR series.

It is said to feature the Snapdragon XR2+ Gen 2 processor. It is a 4nm chip with an octa-core CPU and a powerful Adreno 740 GPU that can drive two 4.3K screens at 90Hz. It can handle up to 12 cameras simultaneously. It has 5G, Wi-Fi 7, and Bluetooth 5.3 for wireless connectivity.

Author’s Note: Some rumors claimed that Samsung’s XR headset is a high-end device that is priced lower than Apple’s Vision Pro. Its success will depend on the number of apps and games that are available on the platform and how well it integrates with Android smartphones, tablets, and Windows-based computers and laptops.

In comparison, Meta’s Horizon Store already has plenty of games, and it is already a great gaming platform. So, headsets from ASUS and Lenovo will have access to all those games on launch day. Samsung and Google have an uphill task ahead of them.

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Horizon Forbidden West at 8K shows how powerful Nvidia DLSS is compared to AMD and Intel’s tech

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Our 8K test system

PC built by Stormforce Gaming

Motherboard: Asus PRIME Z-790P LGA 1700
Processor: Intel Core i9-13900K, 24 Cores / 32 Threads
CPU Cooler: Corsair iCUE H100i 240mm ELITE CAPELLIX Liquid CPU Cooler
GPU: Nvidia GeForce RTX 4090
Storage: 1.0TB Seagate FireCuda 530 M.2 NVMe SSD
Case: Corsair iCue 5000X RGB
RAM: Corsair Vengence 32GB DDR5 4800MHz
Screen: LG 55NANO966PA 

Horizon Forbidden West has come to PC, and it’s given me another reason not to buy a PS5. I’ve bought every generation of PlayStation console since the OG model, but with Sony‘s shift to (belatedly) porting most of its exclusives to PC, it just doesn’t seem worth splashing out on a new console when I can just wait for the games I want to play to come to me.

So, I was very happy to hear that Horizon Forbidden West was going to be ported to PC. As a big fan of the original game, which I played on PS4, I’d been looking forward to playing it.

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XGIMI Horizon Ultra review: LED and laser in perfect 4K Dolby Vision harmony

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XGIMI Horizon Ultra 4K review: Two-minute review

The XGIMI Horizon Ultra proves that projector technology is now so good that you really don’t need to spend the earth in order to get a fantastic viewing experience. While the 4K long-throw projector might be pretty pricey, in projector terms it’s a steal at $1,699 / £1,749 / AU$3,499. 

Despite the lack of native Netflix support that plagues all smart projectors, the XGIMI Horizon Ultra is a fantastic projector that punches well above its weight in terms of picture quality. It has a plethora of ports, onboard Dolby audio and image adaptation technology that makes it a breeze to use. 4K images are incredibly sharp and crisp, and the colors are vibrant and accurate. The blacks are deep and HDR performance brilliant, with great brightness even in well-lit conditions. 

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Robotic AI developments on the horizon

Robotic AI developments on the horizon

The world of artificial intelligence is exploding at the moment thanks to huge advancements in AI technology and services made available during 2023. As a byproduct of the new large language models and AI agents being created we’re witnessing a significant shift in the capabilities of robots. Gone are the days when robots were limited to simple, repetitive tasks. Today, they’re stepping into roles that demand creativity and the ability to solve complex problems. The coming year, 2024, is expected to be a pivotal one, with experts predicting a major leap forward in robotic AI that could redefine what robots are capable of in the near future.

Robots are no longer just about doing the same task over and over. They’re starting to take on jobs that require them to think outside the box and come up with innovative solutions. This AI robots change is thanks to the rapid development of AI models and algorithms that are becoming more sophisticated. For instance, robots can now handle complicated tasks that combine thinking and physical action, thanks to multimodal AI models.

The hardware of robots is also getting better, which is just as important as the software improvements. These hardware upgrades mean robots can do tasks that need more precision, like household chores. But it’s not just about the physical side of things; robots are getting smarter, too. They’re developing the ability to understand and learn, which is key for them to work on their own in different places.

Robotic AI advancements

We’re also seeing AI robots that can do more than just one specific job. Thanks to new technologies like Transformers and large language models, robots are starting to understand and interact in ways that are more like humans. This means they can be used for a wider range of tasks, which is great news for many industries.

Here are some other articles you may find of interest on the subject of robotics :

AI robots are getting better at doing many things at once. New models, like RT1 and RT2, are helping them learn how to switch between tasks and handle new situations. This kind of flexibility is really important for robots to be useful in the real world, where things can change quickly and without warning.

Having a lot of different and detailed training data is crucial for teaching AI robots how to do things. The Open X embodiment dataset and the RTX model are good examples of this. There’s also a new method called Auto RT that makes it easier to create a lot of training data, which helps robots learn and improve their skills faster. Plus, robots are getting better at tasks that require fine motor skills, which means they can do things they couldn’t do before.

How AI will be be integrated into robotics in the near future

Integrating artificial intelligence, particularly Transformers and large language models, with robotics represents a significant advancement in the field of AI and robotics. This integration is expected to enhance the capabilities of robots, making them more autonomous, interactive, and efficient in various tasks.

  • Understanding and Processing Natural Language: One of the primary integrations involves the use of large language models in enabling robots to understand and process natural language. This allows robots to interact more naturally with humans, understand commands, and even engage in complex conversations. For example, a robot in a customer service role could understand and respond to a wide range of customer queries with the help of a language model.
  • Contextual Understanding and Learning: Transformers in language models excel at understanding context, which is crucial for robots operating in dynamic environments. This means robots can learn from previous interactions and adjust their responses or actions accordingly. For instance, a domestic robot could learn household preferences and routines, adapting its tasks to suit the changing needs of the household.
  • Decision Making and Problem Solving: The integration of AI with robotics also enhances the robot’s decision-making capabilities. By processing large amounts of data and identifying patterns, robots can make informed decisions, solve problems, and even predict future needs or challenges. In industrial settings, this could mean optimizing production processes by predicting equipment failures or maintenance needs.
  • Sensor Data Interpretation: Robots are equipped with various sensors to interact with their environment. AI, particularly machine learning models, can interpret this sensor data more effectively, allowing for more nuanced and adaptive responses to environmental stimuli. For example, a robot navigating a warehouse can better understand and react to obstacles or changes in its path.
  • Ethical and Safe Interaction: As robots become more integrated into everyday life, ensuring ethical and safe interactions is crucial. AI models can be trained to recognize and adhere to ethical guidelines and safety protocols, ensuring that their actions do not harm humans or violate social norms.
  • Continuous Learning and Adaptation: Finally, the integration of AI with robotics paves the way for continuous learning and adaptation. Robots can learn from new data, adapt to new tasks, and improve their performance over time without requiring extensive reprogramming.

The idea of using AI robots in real-life situations, especially in fields like manufacturing and logistics, is getting more realistic. As robots start working in these areas, they’ll be able to collect more data and learn even faster. This could lead to big improvements in how these industries operate.

Looking ahead, the potential for robotic AI is enormous. The technologies we’ve talked about are laying the groundwork for a future where robots are more than just helpers—they’re partners in coming up with new ideas. As these advancements continue, we can expect them to have a big impact on both society and the way we work.

Filed Under: Technology News, Top News





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