For the first time, the immersive AR experience surpasses the physical by offering the contextuality that consumers need. They can see the end outcome of the purchase decision before even making the decision — the experience of seeing the couch in the context of their space is transformed — giving them more confidence in their decision.
AR and its effects on consumer psychology
AR is not taking a share of the digital pie as we know it today, but instead increasing the overall size of the pie. There are 100 million consumers shopping with AR online and in stores today. This powerful technology fundamentally changes consumer psychology in three distinct ways: changing the ecommerce model from a push to a pull experience, giving consumers new confidence in their purchases; driving conversion by giving consumers visual context before buying; and giving consumers a new way of experiencing in-person shopping.
“a unified and shared software infrastructure to empower enterprise customers to build and run scalable, high-quality eXtended Reality (XR) – Augmented Reality (AR), Virtual Reality (VR) and Mixed Reality (MR) – applications in public, private, and hybrid clouds.”
What does that all mean?
Simply, GridRaster creates spatial, high-fidelity maps of three-dimensional physical objects. So if you plan to build an automobile or aircraft, use the software to capture an image and create a detailed mesh model overlay that can be viewed using a VR headset. The mesh model can be shared with robots and other devices.
Bye bye, AR headsets?Mojo Vision, a California-based company that wants to make augmented reality (AR) capable smart contact lenses, has already conducted the first human trial of its technology. Last week, the company’s CEO Drew Perkins became the first person to use the contact lenses and shared his experience in a blog post.
Mojo Vision’s device design includes many firsts and now the prototype is good enough to be trialed. Is the future already here?
Research led by Suresh Alahari, Ph.D., Professor of Biochemistry at LSU Health New Orleans schools of Medicine and Graduate Studies, suggests a combination of drugs already approved by the FDA for other cancers may be effective in treating chemo-resistant triple-negative breast cancer. The results are published in Molecular Cancer.
Triple-negative breast cancer (TNBC) tumors lack estrogen receptors, progesterone receptors, and human epidermal growth factor receptor 2 (HER2). A subtype representing 12–55% of triple-negative breast cancer tumors has androgen receptors (AR). Since androgen receptors stimulate tumor cell progression in estrogen receptor-negative breast cancers, they have become a target of triple-negative breast cancer therapy. As well, since a substantial number of patients with triple-negative breast cancer develop resistance to paclitaxel, the FDA-approved chemotherapeutic agent for triple-negative breast cancer, new therapeutic approaches are needed.
Working in a mouse model and tissue from patients with triple-negative breast cancer, the research team screened 133 FDA-approved drugs that have a therapeutic effect against androgen receptor cells. They found that ceritinib, an FDA-approved drug for lung cancers, efficiently inhibited the growth of androgen receptor triple-negative breast cancer cells. To improve the response, they also selected enzalutamide, an FDA-approved androgen receptor antagonist for prostate cancer treatment.
Forget your bulky AR headsets, smart contact lenses are coming to place augmented reality displays right there on your eyeball. Last week, Mojo Vision CEO Drew Perkins volunteered to test the first feature-complete prototype of his company’s design.
Smart wearables are all about super-portable convenience, and until scientists can plumb an AR display directly into your visual cortex, the smallest and most portable form factor we can imagine is that of a contact lens. Mojo Vision has been working on a smart contact lens design since 2015, and its latest prototype Mojo Lens packs in a pretty impressive amount of gear – especially for something that has to live behind your eyelid.
For starters, it has the world’s smallest and highest-density display capable of showing dynamic content – a green monochrome MicroLED display measuring less than 0.5 mm (0.02 in) in diameter, with a resolution of 14,000 pixels per inch. It’s got an ARM Core M0 processor, a 5-GHz radio capable of communicating at ultra-low latency, and enough accelerometers, gyroscopes and magnetometers to track your eye movements with extreme precision, allowing the image to stay stable even as you move your eyes around.
Artificial Intelligence trained with first-person videos could better understand our world. At Meta, AR and AI development intersect in this space.
In the run-up to the CVPR 2022 computer vision conference, Meta is releasing the “Project Aria Pilot Dataset,” with more than seven hours of first-person videos spread across 159 sequences in five different locations in the United States. They show scenes from everyday life – doing the dishes, opening a door, cooking, or using a smartphone in the living room.
The latest in the company’s series of AddArmor vehicles, the 2022 B6 Escalade features lightweight B6 AR 500 bullet-resistant material in every body panel that offers B6-level protection, plus B6-level reinforced glass that can sustain prolonged strikes from rocks, bats, or other blunt objects, the company claims. A PA siren system (to disperse crowds) and run-flat tires also help prepare the Escalade for dangerous situations. B6 protection is the highest level of civilian pr… See more.
The 2022 B6 Cadillac Escalade will let drug kingpins travel with the peace of mind that shots from an assault rifle can’t penetrate their luxury SUV.
Unfortunately my internet link went down in the second Q&A session at the end and the recording cut off. Shame, loads of great information came out about FPGA/ASIC implementations, AI for the VR/AR, C/C++ and a whole load of other riveting and most interesting techie stuff. But thankfully the main part of the talk was recorded.
TALK OVERVIEW This talk is about the realization of the ideas behind the Fractal Brain theory and the unifying theory of life and intelligence discussed in the last Zoom talk, in the form of useful technology. The Startup at the End of Time will be the vehicle for the development and commercialization of a new generation of artificial intelligence (AI) and machine learning (ML) algorithms.
We will show in detail how the theoretical fractal brain/genome ideas lead to a whole new way of doing AI and ML that overcomes most of the central limitations of and problems associated with existing approaches. A compelling feature of this approach is that it is based on how neurons and brains actually work, unlike existing artificial neural networks, which though making sensational headlines are impeded by severe limitations and which are based on an out of date understanding of neurons form about 70 years ago. We hope to convince you that this new approach, really is the path to true AI.
In the last Zoom talk, we discussed a great unifying of scientific ideas relating to life & brain/mind science through the application of the mathematical idea of symmetry. In turn the same symmetry approach leads to a unifying of a mass of ideas relating to computer and information science. There’s been talk in recent years of a ‘master algorithm’ of machine learning and AI. We’ll explain that it goes far deeper than that and show how there exists a way of unifying into a single algorithm, the most important fundamental algorithms in use in the world today, which relate to data compression, databases, search engines and also existing AI/ML. Furthermore and importantly this algorithm is completely fractal or scale invariant. The same algorithm which is able to perform all these functionalities is able to run on a micro-controller unit (MCU), mobile phone, laptop and workstation, going right up to a supercomputer.
The application and utility of this new technology is endless. We will discuss the road map by which the sort of theoretical ideas I’ve been discussing in the Zoom, academic and public talks over the past few years, and which I’ve written about in the Fractal Brain Theory book, will become practical technology. And how the Java/C/C++ code running my workstation and mobile phones will become products and services.
In forthcoming years, everyone will get to observe how beautifully Metaverse will evolve towards immersive experiences in hyperreal virtual environments filled with avatars that look and sound exactly like us. Neil Stephenson’s Snow Crash describes a vast world full of amusement parks, houses, entertainment complexes, and worlds within themselves all connected by a virtual street tens of thousands of miles long. For those who are still not familiar with the metaverse, it is a virtual world in which users can put on virtual reality goggles and navigate a stylized version of themselves, known as an avatar, via virtual workplaces, and entertainment venues, and other activities. The metaverse will be an immersive version of the internet with interactive features using different technologies such as virtual reality (VR), augmented reality (AR), 3D graphics, 5G, hologram, NFT, blockchain, haptic sensors, and artificial intelligence (AI). To scale personalized content experiences to billions of people, one potential answer is generative AI, the process of using AI algorithms on existing data to create new content.
In computing, procedural generation is a method of creating data algorithmically as opposed to manually, typically through a combination of human-generated assets and algorithms coupled with computer-generated randomness and processing power. In computer graphics, it is commonly used to create textures and 3D models.
The algorithmic difficulty is typically seen in Diablo-style RPGs and some roguelikes which use instancing of in-game entities to create randomized items. Less frequently it can be used to determine the relative difficulty of hand-designed content to be subsequently placed procedurally, as can be seen with the monster design in Unangband. For example, the designer can rapidly create content, but leaves it up to the game to determine how challenging that content is to overcome, and consequently where in the procedurally generated environment this content will appear. Notably, the Touhou series of bullet hell shooters use algorithmic difficulty. Though the users are only allowed to choose certain difficulty values, several community mods enable ramping the difficulty beyond the offered values.
