Levi’s Launches Connected Jacket by Google’s Jacquard Project

Last March, Levi’s ready-to-wear brand and Internet giant Google announced the future launch of a new textile product combining fashion and technology: a connected jacket based on the principles of the Jacquard project.

The research project of the ATAP laboratory of Google sees its first concrete and commercial application: the jacket connected Commuter Trucker of Levi’s will be available in the United States during the week in three stores of the sign.

A Levi’s Connected Jacket

Aesthetic side: no follies in sight. The connected jacket resembles any denim garment of the same type. The main variation is to be found on the side of the USB dongle connected to the front of the left sleeve. This accessory incorporates the majority of electronic components and can be easily removed to switch the Commuter Trucker jacket to the washing machine.

The connected jacket designed by

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Last March, Levi’s ready-to-wear brand and Internet giant Google announced the future launch of a new textile product combining fashion and technology: a connected jacket based on the principles of the Jacquard project.

The research project of the ATAP laboratory of Google sees its first concrete and commercial application: the jacket connected Commuter Trucker of Levi’s will be available in the United States during the week in three stores of the sign.

A Levi’s Connected Jacket

Aesthetic side: no follies in sight. The connected jacket resembles any denim garment of the same type. The main variation is to be found on the side of the USB dongle connected to the front of the left sleeve. This accessory incorporates the majority of electronic components and can be easily removed to switch the Commuter Trucker jacket to the washing machine.

The connected jacket designed by Levi’s and Google, thanks to the Jacquard project, seems to be aimed primarily at cyclists, bikers, and users who have taken their hands and cannot access their mobile easily.

levis-jacket-google-jacquard

The technology resulting from the Jacquard project makes it possible to carry out simple operations without having to consult the screen of its smartphone, which is connected to the jacket in Bluetooth, thanks to an application (iOS or Android).

Thanks to a few specific gestures to be made on the sleeve of its connected jacket, the user can thus control the reading of his music, accept a call or activate GPS guidance. The user can set the concordance between the gestures and their effects within the mobile app and also set its ‘fault’ parameters to accept calls / SMS only from a list of pre-established contacts.

Availability and Prices

If the vocation of this connected garment is praiseworthy – to simplify the daily actions of a user – its price to reserve it to the wealthy users: the jacket will be sold at the cost of 350 dollars in the United States.

In China, A Hyperloop Competitor Wants to Create 4000 km/h

China could still get a network of Hyperloop routes ahead of the rest of the world. Media reports show a concept that is to be used for short, medium and long distances – for passengers and freight and at speeds of more than 4000 kilometers per hour.

The Chinese Aerospace Science and Industry Corporation, as reported by The Register, citing Chinese media, is planning to use magnetic levitation trains in vacuum tubes that are going to the whole country. On short distances between cities speeds of 1000, on medium distances between conurbations 2000 and on long distances and with cargo loads even 4000 kilometers per hour are to be reached.

The consortium behind the concept has, according to own data, more than 200 patents with which the plans are to be implemented. For the energy supply of the network, the tubes should also be covered with solar cells on the upper side – China’s ow

China could still get a network of Hyperloop routes ahead of the rest of the world. Media reports show a concept that is to be used for short, medium and long distances – for passengers and freight and at speeds of more than 4000 kilometers per hour.

The Chinese Aerospace Science and Industry Corporation, as reported by The Register, citing Chinese media, is planning to use magnetic levitation trains in vacuum tubes that are going to the whole country. On short distances between cities speeds of 1000, on medium distances between conurbations 2000 and on long distances and with cargo loads even 4000 kilometers per hour are to be reached.

The consortium behind the concept has, according to own data, more than 200 patents with which the plans are to be implemented. For the energy supply of the network, the tubes should also be covered with solar cells on the upper side – China’s own Hyperloop could even be neutralized in combination with nuclear power plants.

The cost of such a stretching net would be immense. Many conventional railroad lines in China are, for this reason, only laid on a single track in the mountain regions and are therefore heavily utilized. Train rides from one to the other end of the country can take several days. Nevertheless, the construction of a Hyperloop could actually take place for political reasons: the Lhasa railway to Tibet has also cost the People’s Republic a lot.

Whether the technical requirements for such a project exist is doubtful. Recently, teams from all over the world had taken test drives with sledges at the Hyperloop competition in Nevada. The record was set by a team from Munich with a speed of 324 kilometers per hour, far from the 4000 kilometers per hour postulated in China.

In Shanghai, however, the Transrapid, developed in Germany, has been operating as a magnetic levitation train with proven technology for more than a decade.

How to Use Artificial Intelligence to Support Human Work

With all the talk about artificial intelligence, a lot of people think that we are on the verge of a new era, in which humanoid robots capable of speaking and walking will invade the labor market at any moment.

While technology is moving in that direction, this scenario is still decades away, according to most forecasts. AI certainly impact the way we work today and will influence even more deeply the way we conduct business – until, finally, robots are our colleagues from work.

For now, however, artificial intelligence is able to highlight our own abilities and work with us through technology embedded in machinery, wearable devices, and others. These “coworkers” can help us accomplish tasks mo

With all the talk about artificial intelligence, a lot of people think that we are on the verge of a new era, in which humanoid robots capable of speaking and walking will invade the labor market at any moment.

While technology is moving in that direction, this scenario is still decades away, according to most forecasts. AI certainly impact the way we work today and will influence even more deeply the way we conduct business – until, finally, robots are our colleagues from work.

For now, however, artificial intelligence is able to highlight our own abilities and work with us through technology embedded in machinery, wearable devices, and others. These “coworkers” can help us accomplish tasks more efficiently.

As we move into this transition, we are expected to rely more and more on the decisions and directions of AI devices. They can process data in real time and reveal what our actions should be based on solid, measurable facts. Our short-term challenge is to discover how to accept technology as an extension of our team, as well as challenge and improve it for the sake of the business.

Those who face this new reality with optimism envision a future where human intelligence and intelligent systems will be intertwined in coexistence and will exchange information continuously so that one is better with the other. AI, therefore, can amplify human intelligence.

Here are fascinating ways in which artificial intelligence and human beings are already coexisting in the business world:

Smart Takers

Technology drives the transformation of physical retail stores to enhance the consumer experience: the innovative Oak Lab tester mirror not only reflects the buyer’s image but is also a technology-driven interactive touch control shopping center RFID.

Consumers can customize their taster experience, ask store sellers for assistance, and even receive recommendations for other complimentary products. This technology is not designed to replace vendors, but to make their work easier and more efficient.

More efficient global logistics chain

With a combo of blockchain payments, mechanical vision and artificial intelligence, bext360’s mission is to “improve the global logistics chain for agricultural products.” The company is currently impacting the coffee, and small-scale farmers trade with its “suppl (ai)” solution for the entire grain chain, which makes it easier for farmers to get a fair price and be paid instantly for the product.

Coffee shoppers can quickly analyze grain quality through the “eyes” and help of a mobile robot. So the company app helps the farmer and the buyer negotiate a fair price. Using blockchain technology, the app and a cloud-based software record the origin of the beans and who paid how much for them. Wholesalers and retailers have the option to embed the API into their website, marketing, the point of sale systems, and tools to help manage the supply chain.

Automobile insurance

For the auto insurance industry, evaluating vehicle damage to handle claims is a complicated and time-consuming procedure that Tractable hopes to shift with its AI for specialized visual tasks. At the heart of any artificial intelligence, technology is the data that inform your decisions. In this case, the AI network studied a huge database of automotive complaints and police data.

If the tool analyzes the images and finds something objectionable, it issues an alert for the process to be reviewed by humans. The goal is to make the complaints process more agile and accurate for human representatives.

Employee Issues

Software created by Starming uses automated learning to route employee issues to the right person. The software records the history of questions and answers and learns to apply them on current issues in order to find the right experts within the company.

There are many applications for this kind of learning, where machines retain the knowledge of key people to relieve specialists who need to respond to similar questions several times. The result, besides the good service to the employee, is the productivity gain.

Administrative Assistant

In today’s corporate world, Baxter AI expects to take on many of the administrative tasks that delay professionals from many different areas. This artificial intelligence service can collect information from Google Analytics, SQL, Excel, and other databases to build reports that typically represent tedious tasks.

Now is the time to accept artificial intelligence systems like our new coworkers and trust them and their abilities to deal with predictive, intelligent and analytical technologies.

Intel, Toyota and Ericsson Join Forces in the Big Data Car

To exploit the enormous amounts of data generated by connected cars, a handful of industrial players (including Toyota, Intel or Ericsson) have agreed to adapt edge computing, a method of data exchange using new network infrastructures and in order to exploit BigData in the automotive sector.

With the advent of autonomous driving, connected cars promise to generate billions of gigabytes of data that will not only store but know how to exploit to pull the full essence of this pool of information.

Before this, it will also be necessary to make these data intelligible and exchangeable. Intel has agreed with Toyota, NTT Docomo, Ericsson or Denso to collaborate to facilitate the exchange of this data in the cloud.

These players recently announced the <a href="http://newsroom.toyota.co.jp/en/detail/18135029/&quot; target="_blank" rel="noopener"

To exploit the enormous amounts of data generated by connected cars, a handful of industrial players (including Toyota, Intel or Ericsson) have agreed to adapt edge computing, a method of data exchange using new network infrastructures and in order to exploit BigData in the automotive sector.

With the advent of autonomous driving, connected cars promise to generate billions of gigabytes of data that will not only store but know how to exploit to pull the full essence of this pool of information.

Before this, it will also be necessary to make these data intelligible and exchangeable. Intel has agreed with Toyota, NTT Docomo, Ericsson or Denso to collaborate to facilitate the exchange of this data in the cloud.

These players recently announced the creation of the automation consortium Edge Computing, which has set itself the main objective of working on data generated by intelligent vehicles.

“The goal is to develop an ecosystem for connected cars to support emerging services such as smart driving, map generation with real-time data, and cloud-based driving support,” reads the statement issued by Toyota.

The Automotive Edge Computing will focus on increasing the network capacity to accommodate the large volume of data that will land in the coming years. The consortium plans to invite “world leaders in the technology industry” to join its ranks in the coming months.

The premise of the Automotive Edge Computing is based on the belief that all connected cars will send 10 exabytes of data per month by 2025.

According to the founding members of the agreement, this will require a new architecture for the networks and machines that will have to process all this data. With edge computing, the consortium imagines that it can find a solution based on a technology whereby the data is first processed locally and then transferred to the cloud.

The Sewbot Robot will Produce Millions of ‘Made in USA’ T-shirts

In 2018, the Chinese group Tianyuan Garments will open a brand new factory in Arkansas, home to an army of self-sufficient Sewbots robots capable of manufacturing nearly 1.2 million t-shirts a year – directly on American soil – under the supervision of a handful of technicians only.

Last year, President Trump based much of his election campaign on his ability to repatriate some of the companies producing manufactured goods at lower cost in foreign countries (read in CNN), notably in China.

Regularly the target of the ire of the American leader (read here), the Middle Empire is described by many as being a country using social dumping to produce cheap products subsequently reso

In 2018, the Chinese group Tianyuan Garments will open a brand new factory in Arkansas, home to an army of self-sufficient Sewbots robots capable of manufacturing nearly 1.2 million t-shirts a year – directly on American soil – under the supervision of a handful of technicians only.

Last year, President Trump based much of his election campaign on his ability to repatriate some of the companies producing manufactured goods at lower cost in foreign countries (read in CNN), notably in China.

Regularly the target of the ire of the American leader (read here), the Middle Empire is described by many as being a country using social dumping to produce cheap products subsequently resold in the United States, such as clothing carrying her daughter’s claw (read in Newsweek).

The situation is changing. But not in the direction hoped for by The Donald.

A stand alone robot

Indeed, the Chinese Tianyuan Garments Company will open its new factory in 2018, in the middle of the US territory. In Arkansas, 21 production lines made up of weavers will be able to manufacture 100,000 t-shirts a month.

With this production rate, the Chinese factory will be able to compete with the costs of making t-shirts in China and then cargo transport to their place of sale.

The plant will be one of the first in the world to use SewBot machines, developed by SoftWear Automation, based in Atlanta. Eventually, this process could transform the landscape of the world textile industry.

The Sewbot robot was developed at the Research Center for Advanced Technologies of the University of Georgia Tech, in a program launched there nearly a decade. In 2012, researchers were finally awarded a grant by DARPA – the Department of Innovation integrated with the US Department of Defense – to develop the process for its commercialization.

By 2015, Softwear Automation was marketing a simpler version of its robot weaver, able to produce bath mats or towels at an incredible rate.

The evolution of this machine, the stand-alone robot deployed within the plant in Little Rock (Arkansas), will now be able to manufacture t-shirts and partially produce jeans pants.

The customer of Softwear Automation, the Chinese Tianyuan Garments Company, has already indicated that the goal was to produce the equivalent of 800,000 t-shirts a day with its fleet of machines. A figure is hardly believable since it is robots autonomous.

The death of textile jobs?

To maintain and supply and maintain this precision machinery, the plant should create about 400 jobs. But it is, of course, a figure not commensurate with the volume of employees needed for a more ‘traditional’ production.

Moreover, SoftWear Automation is trying to change the idea that its weaving robots are preparing to cause a real slaughter in the textile sector.

According to a study carried out in-house, the manufacturer explains that a robot such as the SewBot generates between 50 and 100 jobs in its value chain, in particular because it makes it possible to obtain the label ‘Made In USA’ and leaves the opportunity for the clothing brand to invest in the purchase of local raw materials, increasing the demand for labor in the surrounding area.

Apparently, this version seems a bit optimistic. But the Sewbot has other advantages: the Fashion for Good initiative, which tries to make the textile sector aware of environmental issues, estimates that the Sewbot could help reduce the sector’s emissions by about 10%.

The Hyperloop is India’s Hope For a Better Transport Network

Between the Indian cities of Amaravati and Vijaywada, a Hyperloop could go in the not too distant future. At least, the government and the Hyperloop Transportation Technologies company signed a declaration of intent.

A Hyperloop route between two cities in the Indian state of Andha Pradesh is a first step towards establishing the region as a tech location. The project is to create around 2,500 jobs and start in October, as reported by TechCrunch. Then a test starts, which should check the feasibility of the project. A total of six months are estimated for this.

The second phase is the actual construction phase of the Hyperloop section. Private investors largely finance the work. Until the route is ready to go, it would probably take years.

The route is to create the core of a significantly better network of connections in India, which so far has a

Between the Indian cities of Amaravati and Vijaywada, a Hyperloop could go in the not too distant future. At least, the government and the Hyperloop Transportation Technologies company signed a declaration of intent.

A Hyperloop route between two cities in the Indian state of Andha Pradesh is a first step towards establishing the region as a tech location. The project is to create around 2,500 jobs and start in October, as reported by TechCrunch. Then a test starts, which should check the feasibility of the project. A total of six months are estimated for this.

The second phase is the actual construction phase of the Hyperloop section. Private investors largely finance the work. Until the route is ready to go, it would probably take years.

The route is to create the core of a significantly better network of connections in India, which so far has a poor transport system. For the drive of the straight 42.8 kilometers, you need with the car currently still over 70 minutes. With the Hyperloop, this will be achievable in six minutes.

However, a conventional train track would also be much faster than the previous roads – and the Hyperloop is currently only a short test track in Nevada and first attempts with floating capsules still a real future technology without any final proof of feasibility and economy on a grand scale.

Another project reveals the fact that Prime Minister Narendra Modi is serious about modernization: Next week, Modi and his Japanese colleague, Shinzo Abe, will lay the foundations for another project: a Japanese high-speed train between Mumbai and Ahmedabad will be put into operation. So far, the 500-kilometer-long route lasts seven hours, with the new express train only two.

The Federal Government of Germany is also interested in business with India and is financing a feasibility study of a high-speed train from the South Indian metropolis of Chennai to Mysore. In the case of the billions of billions, the question arises whether a general overhaul of the public transport system might not be more cost-effective.

Chatbot: The Intersection Between Tech and Communication That is Revolutionizing the Customer Experience

At the base of the digital media, there is of course technology. It is the same technology to ensure its proper adherence to the way people interact. This cross- link between people and brands, companies and organizations is the basis for a positive and profitable Customer Experience (CX) for both parties.

But digital media (i.e., machines) and people do not speak the same language to allow effective interaction between the two sides. A recent development is the emergence and spread of conversational interfaces (conversational UI), which are used in the chatbot.

Classified among the most exciting technological innovations for users and businesses, they are programs designed to stimulate intelligent and thoughtful conversations with one or more human beings, through auditory or visual methods.

In contrast to non-conversational UIs (e-mail, apps, websites, social networks,

At the base of the digital media, there is of course technology. It is the same technology to ensure its proper adherence to the way people interact. This cross- link between people and brands, companies and organizations is the basis for a positive and profitable Customer Experience (CX) for both parties.

But digital media (i.e., machines) and people do not speak the same language to allow effective interaction between the two sides. A recent development is the emergence and spread of conversational interfaces (conversational UI), which are used in the chatbot.

Classified among the most exciting technological innovations for users and businesses, they are programs designed to stimulate intelligent and thoughtful conversations with one or more human beings, through auditory or visual methods.

In contrast to non-conversational UIs (e-mail, apps, websites, social networks, etc.), chatbots frequently provide simpler, more stimulating, targeted targeting through two main modes:

Dynamics of understanding human language through a) Artificial intelligence (AI) and machine learning algorithms (think Allo or Cortana) or b) recognition patterns – via algorithms capable of assessing the proximity of words entered by the user to the general rule. Both sub-points allow the robot to understand human language and learn/improve over time.

Set of rules and predefined commands, to which the same bot adapts more statically and recursively.

Key areas of application of chatbots

The first area of application for chatbots is online support, enabling simple or more complex scenarios. When you write a private message to the fanfares of different brands, most likely, a bot will answer you.

Many CVs and first interaction with job candidates in important realities are also increasingly being managed by robots. But there are also weather bots, news bots, life advice bots, personal finance bots, whose names already suggest the main domains of utility.

Through a Facebook Messenger plugin, KLM provides its customers with the information they need for their travel and eventual upgrades directly to the social network (https://messenger.klm.com/).

Skyscanner has introduced its own Facebook Messenger bot through which millions of users looking for flights and destinations each month on the app and website can receive contextualized, relevant, precious information without further clutches during their own customer journey.

A second ground is an advice and support for customized and contextual shopping (conversational commerce). The Operator app (https://operator.com/), designed by the co-founder of Uber Garrett Camp, allows getting help getting the perfect products for your needs 24/7 through connecting with a community of operators able to meet every shopping-related requirement. But who are these operators? Operators themselves, shop and brand representatives as well as their own bot.

There is chatbot. Releasing a chatbot capable of making the difference in the CX of people depends on a long and complex set of design and implementation variables. The Intercom messaging platform developed and published on Medium on June 27, 2016, a list of 8 principles to be followed for the good design of bots capable of ensuring relevant CX.

  1. Do not pretend or pretend to interact with real humans: bots will probably never achieve the communicative effectiveness of people. An effort in this direction would therefore only risk generating negative and unimportant experiences, increasing expectations beyond the actual possibilities. On the contrary, robotic behavior immediately enables us to clearly define the scenario within which the interaction takes place, thus setting the expectations of the individual.
  2. Simplify: Often, technology is perceived as a complex solution. Conversely, bot activity needs to be limited to specific themes and linear interaction dynamics, avoiding designing too complex dialogic scenarios.
  3. Respect the specifics of the medium: chats and other automated messaging dynamics come up with unique features that make them unique – many of which are indirectly cited in this list of points. It is pointless to try to do different tasks with the task of trying to collapse many services offered by an app, a support website, an information blog, or other channels.
  4. Design with the focus on the end user: Using bots will certainly create cost savings for the company, but this efficiency should not be the main reason that drives them to prefer. Instead, the user has to stay in the center: if a person would provide a more significant experience of a robot, you should prefer it.
  5. Use Parsimony: Today, it is still difficult to think of bots as entities capable of supporting complex, enduring, and multichannel conversations with people. The design of their interactions and their training must be focused on facilitating rapid and accurate exchanges. The latest innovations are proving that such parsimony in the immediate future will become less and less a problem, to immersive solutions and capable of supporting users irrespective of syntactic and semantic complexities.
  6. Maintaining a Human Alternative: When a bot fails to meet the expectations and end user requests, a person in the company who can intervene should always be available.
  7. Structure inputs: Do not leave too much freedom of communication to users to the bot. Provide them pre-set tree and “conversational twin” (yes/no, alternative answer lists, already completed forms, etc.) to trace conversations minimizing the risks and ambiguities resulting from uncertainty.
  8. Share Data: The context within which the bot interacts, as well as the interactions themselves, must be saved in the backend and made available to system administrators and service providers.

Get chatbot to brand interaction dynamics

If well-designed and functional, chatbots are able to become the metaphor of the entire organization. A dynamic, intelligent, human or dynamic company or brand able to ensure Customer Experience dynamic and relevant to its customers by integrating at the same time their online behaviors with the flows within stores.