dWeb News

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• Intel will invest $3.5 billion in New Mexico chip factory
• What Makes Enterprise AI Different From Any Other AI?
• In a year of major shifts, the self-driving car market is consolidating
• Ever Wanted to Bungee off Tokyo Tower? Now You Can … in VR
• Seattle startup Modica turns shipping containers into software-driven microfactories
• Pixel 6 might get this revolutionary feature from Apple’s iPhone 12
• Divided we fall: Why fragmented global privacy regulation won’t work
• Satoshi’s Games launches Elixir Marketplace for NFTs based on Bitcoin rewards
• Gross: Watch a Dishwasher Run from the Inside with 4K GoPro Video
• dWeb Daily News Picks

Intel will invest $3.5 billion in New Mexico chip factory Posted: 03 May 2021 12:40 AM PDT Intel said on Sunday that it will spend $3.5 billion on an upgrade for its factory in New Mexico as part of a plan to expand manufacturing.Read More

What Makes Enterprise AI Different From Any Other AI? Posted: 02 May 2021 02:39 PM PDT Has enterprise artificial intelligence (AI) lived up to the hype generated at a decade's worth of industry conferences? Or is it coming up short? Maybe putting the word "enterprise" in front of AI just adds up to a marketing spin. It depends on how individual businesses deploy AI. When companies adopt AI wisely, they do more than shift repeatable tasks and processes from humans to more efficient computers. They bring humans and machines together to build more intelligent workflow — transformational workflows. What Makes Enterprise AI Different From Any Other AI? The private equity firm Graham Allen has been leaning on AI to revitalize and grow midwestern industrial and mid-sized businesses with a pragmatic approach that's gaining attention. The enterprise AI-focused operating company SymphonyAI has been earning headlines for its strategy. Its portfolio companies have been making inroads in the industry verticals they each address, including Symphony IndustrialAI. With the recent acquisition of Savigent, Symphony AyasdiAI in banking, and Symphony MediaAI in the business of subscription and media distribution revenue, including gaming. In data ops for private capital, Harmonate has been leading a quiet revolution in how private equity and funds-of-funds middle and back offices operate with machine learning. Humans and machines together can achieve more, in a more repeatable and reliable fashion, and with better insight. But apart from some funds and companies, is that actually happening throughout the economy? Where is the money going? No, and yes. Money is being poured into AI, and it's making a difference. It's just that the difference being made is not necessarily visible. This lack of visibility fuels skeptics. And the progress is not fast, given that the availability of huge amounts of data is both a blessing and a curse. Copious data delivers the raw material AI needs. But AI is still learning how to cope with the complexity and needs help from human domain experts. The smart companies are the ones that are not tinkering and failing to make big moves. And the smart companies also aren't trying to leap too far ahead with moonshots that skip steps. What the smart companies are doing is putting together point solutions into products that solve real business enterprise solutions. They are developing the right loop between domain experts and machines. The result is real AI product suites that capture the knowledge capital of enterprises and can transform industries. Experimentation We all know AI investments have been increasing in recent years. Skeptics would say the trend derives from big promises and false expectations. But I'm compelled to think many companies are deploying AI more wisely than we understand. They are discovering value and growing the potential of AI. It's just happening in quieter corners of business enterprises. It's happening in places where domain experts and the right technologists are solving small problems, then connecting those breakthroughs to others, until there's an inflection point. There's a germination period underway right now. We are moving from a diffuse cloud of point solutions to product suites in industry verticals powered by business leaders who've embraced the new reality of their markets. When do I get my flying car? AI skeptics, however, persist in believing that artificial intelligence advances are like flying cars – a sci-fi fantasy that has failed to materialize despite years of hopes and promises. It's true that optimistic predictions have sometimes outstripped the reality of AI. By one estimate, AI has been through seven false starts since the 1950s. Impressive multimillion-dollar AI efforts have faltered. Some ostensible "AI startups" aren't even really using AI but rather are selling automation with elements of machine learning. This poor performance and confusion fuels skepticism, inhibits innovation, wastes money and reduces returns. Most investor enthusiasm for AI is based on sound logic, however. AI tools have evolved from defeating humans at chess. Machines are good at recognizing patterns, a powerful and important cognitive function. And, in fact, processing patterns are humanity's intellectual edge over other species. It also accounts for many daily business tasks that AI-driven machines can now frequently do better than humans across a range of sectors. The results are driving enhanced AI chips that reduce costs and dramatically improve performance. But those chips are also being driven by the fact that repeatable tasks can be deceiving. When multiple choices of what to do lead to many more multiples of options. Even AI can start to lose track of where it's going. Experience with humans, and more chip power can bridge that gap. More to work with There is a lot more data to process today, too, which means more potential value. Thanks to the internet, social media, connected devices and the Internet of Things, total extant data exceeds 40 zetabytes, a ten-fold increase since 2013. There are now "40 times more bytes than there are stars in the observable universe," according to the World Economic Forum. Cloud computing has facilitated elastic consumption of storage and network demands to handle that data. Digital transformations have resulted. A growing number of companies are recognizing the benefits. AI adoption tripled in the 12 months leading up to March 2019, perhaps "the fastest paradigm shift in technology history" according to a major study. PWC forecasts that AI could add $15.7 trillion to the global economy by 2030. AI is not a fad. It is a key differentiator. Like the internet, it has the potential to completely transform the economy. Companies that deploy it effectively will make changes. How to Transform a Business with Enterprise AI Of course, companies can possess all the ingredients necessary to conduct top-performing AI analysis but still fail to achieve results, particularly if they lack a robust understanding of their industry's business processes. Human perspective and insight are more art than science. Inspiring the former while developing the latter is the challenge we all face in the new AI age we're now in the middle of. Companies sometimes tinker, improving obsolete systems rather than rethinking and reinventing their operations to capitalize on enterprise AI. Tinkering is good. But tinkering too long leads to a flawed approach that may help a company reduce its costs or streamline processes in the short run. But such gains are unlikely to justify the investment needed to gain significant market share. Worse yet, the company will have missed an opportunity to achieve a transformational advantage, one that competitors may be exploiting. Adding to the problems with tinkering are startups seeking to harness AI for individual point solutions. Their value proposition is harder to figure out. The potential for differentiation is typically diminished, and their survivability is less certain. A task and a point solution are not a business enterprise. The middle way Companies don't face a choice of incremental change or narrow focus, however. Instead, established and new ventures need to harness enterprise AI's capacity to capture and profit from the knowledge capital in their given sectors. In 1998, Paul Strassmann argued that the proper function of the software is to serve as the business's "prefrontal cortex," storing and exploiting the working knowledge that has traditionally remained stuck in employees' heads. When applied correctly, enterprise AI is the ideal technology for this work. The goal of enterprise AI is not only to empower humans but also to program and institutionalize stronger, smarter, more efficient organizations. Enterprise AI can expedite those changes because, unlike traditional software, which follows the static instructions of a programmer, AI can evolve to capture a wider variety of tasks and learns through practice. Furthermore, enterprise AI is undaunted by the many terabytes of data that companies gather. It quickly observes complex and obscure patterns that humans miss. That's why forward-looking companies are using it to build next-generation platforms – systems of actionable intelligence that capture siloed data from existing systems of record. The enterprise AI solution makes this data available in a holistic way, through a set of AI models, applications and solutions. These platforms also acquire and integrate data from external sources, providing intelligence for further revenue growth. Conclusion Businesses will need a vision for "AI-ification" if they want to rethink their operations, transform their technology stacks, overhaul existing solutions and win in the future. And we're fast approaching the point where it's not a question of wanting to rethink, but needing to rethink. Image Credit: The post What Makes Enterprise AI Different From Any Other AI? appeared first on ReadWrite. This posting includes an audio/video/photo media file: Download Now

In a year of major shifts, the self-driving car market is consolidating Posted: 02 May 2021 12:39 PM PDT Toyota and Lyft’s $550 million deal shows wealthy companies that can bear delayed return on investment dominate the autonomous vehicle market.Read More

Ever Wanted to Bungee off Tokyo Tower? Now You Can … in VR Posted: 02 May 2021 11:39 AM PDT If you've been avoiding taking a bungee leap of faith off the Tokyo Tower because of how scary and dangerous it is? Well now you can take the plunge without fear of dismemberment or death in this Tokyo-based VR experience. Read This Article on Review Geek ›

Seattle startup Modica turns shipping containers into software-driven microfactories Posted: 02 May 2021 10:41 AM PDT Seattle-based Modica builds interconnected systems for micromanufacturing and houses it all in shipping containers. (Modica Image) Watching stacks of shipping containers come and go from Seattle's waterfront, you might wonder what's in them, where they came from and where they're headed. One Seattle startup isn't filling the brightly colored boxes with merchandise and is instead using containers to house microfactories that can churn out products anywhere in the world. About Modica: Launched in 2018 and based in Seattle's SoDo neighborhood, Modica builds factory-as-a-service modules. Founder and CEO William Gibbs has worked in aerospace, food processing and general factory automation and robotics. He previously ran and then sold a small systems integration firm called Corvus and Columba. Modica CEO Will Gibbs. (Modica Photo) Systems integration is basically the building of factories, where a company determines what product you need to make, which robots to use, conveyors, custom tooling and more. Modica is adapting modular construction technologies and generative design techniques to the way entire factories are built, in order to build them faster and prevent shortages like many experienced early in the pandemic. Tech HQ recently called the microfactory "the next big thing in manufacturing," enabling the setup of small-to-medium scale, highly automated, technologically advanced manufacturing possessing a wide range of processes. What's in a name? Modica takes its name from the word modicum, which means a small portion of something. Gibbs says Modica is "many small things repeated many times. It plays into what we do — we modify shipping containers so the 'mod' part makes sense." Why shipping containers? Gibbs said the modular form factor can be parallelized and pre-built and then brought together. They start with containers because they're compatible with global logistics and you can get one virtually anywhere and send one virtually anywhere. "If you're making small devices, most of the equipment you'd use would fit in a container," Gibbs said. "It also turns out to the extent that factories aren't completely automated, there's still people in factories. The container can actually modify into a workspace. You can join them together and stack them and make human workspaces." A container ship arriving along Seattle's waterfront. (GeekWire Photo / Kurt Schlosser) Example of current business: Containerization of existing business processes include Modica's work with a metal supplier that does short runs of metal — small amounts of sticks of metal that are cut and packaged. They usually operate out of big warehouses and Modica can create a micro-warehouse that has a subset of their full inventory. "The value that's added is you can get your production, or at least your microfulfillment, closer to the use centers," Gibbs said. He also foresees the ability to locate a microfactory closer to a disaster zone for quicker production of necessary goods. Cost: The range is huge for Modica's services because it depends on what's going inside the container. A very basic container modification, with a single 3D printer sitting in it, for example, might be about $8,000. It goes up from there, depending on what it is you want. The sky's the limit for a tightly integrated, full spectrum of automation with custom parts. Modica is making high-tech restrooms for Throne. (Throne Image) High-tech restroom connection: When Amazon made news earlier this month because its delivery drivers were admitting that they had to resort to urinating in bottles because they couldn't find the time to use public restrooms, Modica's name came up in talks of a solution. The company is actually building connected units for Washington, D.C.-based Throne, whose high-tech restrooms rely on an app that reserves and unlocks a free-standing restroom. "As we ramp up production, we're actually designing microfactories that will be making these entire Throne units," Gibbs said. "So it's really a kind of an eating-our-own-dog-food sort of experience so far. We just shipped some of the early units. There will be many, many more." Funding: Modica was mostly bootstrapped until being accepted into the STANLEY + Techstars accelerator program focused on AI in advanced manufacturing. Demo day for the accelerator was Thursday. Team: Modica employs seven people currently and plans to double that headcount this year. Peter Biddle, an early Microsoft employee who spent almost 17 years at the software giant, joined as a co-founder in 2019. Last word: "I really couldn't describe Modica without mentioning both the hardware and the software," Gibbs said. "We don't just want to hang our hat on the shipping container. It just turns out that it's one of our form factors that the software design tool we use can work with, to help modularize and do this systems integration. They really go hand in hand and the concept would be kind of incomplete without both."

Pixel 6 might get this revolutionary feature from Apple’s iPhone 12 Posted: 02 May 2021 10:41 AM PDT After a disappointing 2020 in terms of Pixel flagship hardware, Google might surprise fans with a few great Pixel 6 features. According to reports, Google is already developing a foldable Pixel phone and making its own system-on-chip (SoC) processor. The latter is likely to debut this year, powering at least one Pixel 6 device. Dubbed Whitechapel (GS101), the 5nm processor is being developed in collaboration with Samsung. The SoC won't merely help Google reduce its reliance on Qualcomm, it'll also let it offer customers a feature that has only been available on iPhones so far. A custom SoC made for the Pixel would let Google fine-tune Android performance and control more aspects of the hardware, just like Apple does with iOS and iPadOS. A new finding suggests that Google might add another chip to the Pixel 6 series that's already available on iPhones — an ultra-wideband (UWB) processor that could power some exciting new Pixel features. Today’s Top Deal Shoppers are swarming Amazon to get the Roomba 675 robot vacuum while it’s only $199! Price: $199.00 You Save: $80.99 (29%) Buy Now The iPhone 11 was Apple's first iPhone to feature UWB technology. The new wireless protocol lets Apple offer something called "precision finding" for lost devices. The tech allows users to locate their lost objects down to a few inches, whether it's an iPhone or the new AirTag tracker that comes with a built-in U1 chip. UWB tech is also used in other applications, such as handing off content between iPhone and a HomePod mini speaker. AirDrop functionality can also be improved if both gadgets feature UWB chips like the U1. Samsung added UWB support to the Galaxy S21 series, and ultra-wideband chips will probably be included in future devices. Google's interest in the technology is hardly surprising. Google wouldn't just ensure that the Pixel 6 phones are on par with the iPhone 12 and Galaxy S21 by adding a UWB SoC in its new handsets. The technology might also have an immediate use. Google could rely on UWB to improve connections between Pixel phones and smart home devices, and also for tracking purposes. That's not to say that Google will be building an AirTag-like tracker of its own, as that's just one of the various UWB-based features available to users. All of this is just speculation at this point though, as Google won't announce the Pixel 6 until October. It's unclear whether it plans to talk about UWB during its big Google I/O 2021 event in a few weeks. All we have for now is evidence that Google is testing support for an Android 12 UWB API on "Raven," one of the internal codenames used for the Pixel 6. I don’t have any more details to share, such as confirmation that a next-gen Pixel will indeed support UWB, if Google is working on any UWB/BT trackers, whether “raven” is the Pixel 6 or 6 XL, etc. — Mishaal Rahman (@MishaalRahman) April 30, 2021 Mishaal Rahman from xda-developers and 9to5Google have both revealed various aspects of Google's interest in UWB tech. The latter claims to have seen documentation that Google is working with Qorvo on UWB hardware. Google is expected to release three Pixel phones this year. The Pixel 5a phone that appears to be almost identical to the Pixel 4a 5G will roll out first. Two Pixel 6 devices are then expected in the fall. Aside from Raven, there's also an "Oriole" codename belonging to an unreleased Pixel handset. All Pixel 6 phones will likely support ultra-wideband connectivity, if these recent reports from reliable sources are accurate. Today’s Top Deal AirPods Pro are finally back in stock at Amazon… at the lowest price of 2021! Price: $197.00 You Save: $52.00 (21%) Buy Now

Divided we fall: Why fragmented global privacy regulation won’t work Posted: 02 May 2021 09:40 AM PDT The growing patchwork of US state-level privacy laws will inflict significant costs on businesses and the American public.Read More

Satoshi’s Games launches Elixir Marketplace for NFTs based on Bitcoin rewards Posted: 02 May 2021 09:40 AM PDT Satoshi’s Games has launching its Elixir Marketplace for NFT item sales based on Bitcoin rewads in its Light Nite game.Read More

Gross: Watch a Dishwasher Run from the Inside with 4K GoPro Video Posted: 02 May 2021 09:40 AM PDT Have you ever wondered how dishwashers actually manage to get your dishes sparkling clean? A YouTube channel called Warped Perception actually placed a GoPro and a 360-degree camera inside a dishwasher while it ran a cycle to get some answers. Read This Article on Review Geek ›

dWeb Daily News Picks Posted: 02 May 2021 09:32 AM PDT dWeb Daily News Picks From Daniel Webster dWeb Internet Cowboy Woman Charged with Felony Embezzlement for Not Returning 1999 VHS Rental ‘Boo all you like!’: Romney hits back at 2,000-strong crowd at Utah’s GOP convention Hooray for the Little Underdog — $1,000 Yearling SpaceX Makes First Nighttime Splash Down With Astronauts Since 1968 Yellowstone is Shooting Paintballs at Wolves and Says It's for Their Own Good What if we turned empty offices into housing? Leading QAnon was retweeted by Trump was hiding in plain sight as a chiropractor from Denver, says investigation Has Online Retail's Biggest Bully Returned? China Warns Large Tech Firms as Industry Faces Rising Oversight The Army’s New Night-Vision Goggles Look Like Technology Stolen From Aliens UFOs are real, feds' cover-up fueled by fear: ex-Pentagon whistleblower How Apple does M&A: Small and quiet, with no bankers For These stories, plus more worldwide and technology news go to dWeb News  http://dWeb.News  #embezzlement #VHS #videotape #MittRomney #UtahGOP #KentuckyDerby #SpaceX #Yellowstone #paintball #wolves #qanon #trump #denver #onlineretail #china #tech #army #nightvision #goggles #ufo #pentagon #apple #m&a

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