May 11 (Reuters) - The science-fiction is harder to see in Google's second try at glasses with a built-in computer. A decade after the debut of Google Glass, a nubby, sci-fi-looking pair of specs that filmed what wearers saw but raised concerns about privacy and received low marks for design, the Alphabet Inc (GOOGL.O) unit on Wednesday previewed a yet-unnamed pair of standard-looking glasses that display translations of conversations in real time and showed no hint of a camera. The new augmented-reality pair of glasses was just one of several longer-term products Google unveiled at its annual Google I/O developer conference aimed at bridging the real world and the company's digital universe of search, Maps and other services using the latest advances in artificial intelligence. "What we're working on is technology that enables us to break down language barriers, taking years of research in Google Translate and bringing that to glasses," said Eddie Chung, a director of product management at Google, calling the capability "subtitles for the world." Selling more hardware could help Google increase profit by keeping users in its network of technology, where it does not have to split ad sales with device makers such as Apple Inc (AAPL.O)and Samsung Electronics CO (005930.KS)that help distribute its services.
When planning an AI-assisted content generation UX/UI (user experience and user interface), these three aspects are to be decided upon: 1) interaction mode: copilot or automatic, 2) work unit (e.g. an image or a full album, document clause or a full document, code function or a micro-service, …), 3) starting point: updating existing content samples or inventing new content from scratch. Let's elaborate on the interaction mode options. In Copilot mode, an AI assistant can, for example, suggest, auto-complete, extend, check, test, and improve the content. Usually done in iterations, guided by the user, and with small work units. In Automatic mode, an AI assistant can, for example, i) replicate previous human actions or preferences and apply them to new samples, or ii) create or compose new samples with certain representation properties.
Technology has completely infiltrated the built environment. Between IoT connectivity in buildings, indoor wayfinding and virtual tours, real estate is no longer the tech-averse industry it once was. In the context of digitization, there are new uses for Augmented Reality (AR). The technology has evolved from a marketing gimmick to a solid strategy for asset managers to improve their built environments. The premise of AR technology is the real-time integration of digital information to "augment" the user's physical experience.
Microsoft Build--at the opening keynote by CEO and Chairman, Satya Nadella, announced the final judging for the 2022 Imagine Cup global winner. After the judging, V Bionic took top honours today, May 24. Their platform solution, ExoHeal, combines a therapeutic exoskeleton hand device with sensors, and extensive intuitive app -- that helps patients with hand paralysis to experience a faster, more comfortable, inexpensive, three stage rehabilitation process to improve patients physical and mental health. The V BIONIC team is achieving international recognition through competitions and award programs including: Global Finalists in the Google Science Fair and Social Innovation Award winners at the Diamond Challenge, and today as World Champions of Imagine Cup as key gems in their crown towards success. Their hard work and passion is founded on the inspiration to do more for humanity and by implementing tech-for-good.
The unprecedented growth of mobile devices, applications and services have placed the utmost demand on mobile and wireless networking infrastructure. Rapid research and development of 5G systems have found ways to support mobile traffic volumes, real-time extraction of fine-grained analytics, and agile management of network resources, so as to maximize user experience. Moreover inference from heterogeneous mobile data from distributed devices experiences challenges due to computational and battery power limitations. ML models employed at the edge-servers are constrained to light-weight to boost model performance by achieving a trade-off between model complexity and accuracy. Also, model compression, pruning, and quantization are largely in place.
It is not often that I am able to combine two of my life's passions: future tech and wine. When we think about the wine business, the images that come to mind might be more of vineyards stretching across the French countryside than of robots and digital transformation. But the fact is that the industry has always been driven by science, technology and innovation. Today, things are no different. The latest wave of technology-driven change is focused on artificial intelligence (AI), the internet of things, augmented reality and blockchain.
Apple's long-awaited Apple Car could have virtual displays on the inside instead of clear windows, according to a new patent. The tech giant has filed a patent for a virtual reality (VR) vehicle system that matches up'virtual views' with the physical motion of a car as it's travelling. For example, if the car was careering down a hill, the system could project a virtual image of a rollercoaster ride. Chairs in the car would move about to match the visuals, the patent suggests, much like an immersive '4DX' cinema experience. But it would mean passing views of the real world – such as a beautiful medieval cathedral or stunning coastal hills – would be entirely replaced with virtual graphics.
Blockchain is the new talk of the town. It is the technology behind cryptocurrencies like Bitcoin. Today, it has turned out to be a game-changer for businesses. Its decentralized ledger offers transparency and immutability in transactions between parties without any intermediary. The transactions are irreversible, which means once a ledger is updated, it can never be changed or deleted. Blockchain technology will eventually find its space in the new and innovative applications of Machine Learning and Artificial Intelligence.
Popularised in the Brad Pitt film Moneyball, groundbreaking analytics almost saw the Oakland A's crowned the kings of baseball back in 2002. General manager Billy Beane's evidence-based, sabermetric approach allowed the small-market franchise to compete against teams with much bigger budgets by finding undervalued players through revolutionary statistical analysis. The concept sparked the adoption of more data-driven principles across a myriad of sports – with teams and coaches all trying to gain a competitive advantage – but the latest innovation may be the biggest game-changer of the lot. Invented by artificial intelligence company Zone7, the new Silicon Valley algorithm is being used by teams in the NBA, NFL and Premier League as a way to detect injury risk and recommend pre-emptive action. One of those clubs, Liverpool FC, has deployed it to great success this season in their hunt for an unprecedented quadruple, cutting the number of days players have lost to injury to 1,008 from more than 1,500 in 2020/21.
In the late nineteen-forties, Delmar Harder, a vice-president at Ford, popularized the term "automation"--a "nickname," he said, for the increased mechanization at the company's Detroit factory. Harder was mostly talking about the automatic transfer of car parts between machines, but the concept soon grew legs--and sometimes a robotic arm--to encompass a range of practices and possibilities. From the immediate postwar years to the late nineteen-sixties, America underwent what we might call an automation boom, not only in the automotive sector but in most heavy-manufacturing industries. As new technology made factory work more efficient, it also rendered factory workers redundant, often displacing them into a growing service sector. Automation looks a little different these days, but the rhetoric around it remains basically the same.