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.

Facebook Creates Special Post to Offer And Solicit Blood Donations

Facebook has numerous publishing options to demonstrate opinions and positions of its users, such as landmark events and organ donation. To encourage blood donation, the social network now allows its users to post on their timelines by declaring themselves donors and even soliciting donations from others.

The platform will provide a special publication type for those who are looking for donations, being able to request a specific blood type and also include where they should be made. The purpose here is very clear: to make life easier for those who need donations and to make this message common and widely disseminated.

You can register as a donor and provide detailed information such as your blood type. In addition, the information is posted privately within the social network, initially available only to the user. Then you can change the visibility so that other Facebook p

Facebook has numerous publishing options to demonstrate opinions and positions of its users, such as landmark events and organ donation. To encourage blood donation, the social network now allows its users to post on their timelines by declaring themselves donors and even soliciting donations from others.

The platform will provide a special publication type for those who are looking for donations, being able to request a specific blood type and also include where they should be made. The purpose here is very clear: to make life easier for those who need donations and to make this message common and widely disseminated.

You can register as a donor and provide detailed information such as your blood type. In addition, the information is posted privately within the social network, initially available only to the user. Then you can change the visibility so that other Facebook participants can check it out.

Although excellent, the initiative will only be available in India starting October 1st. The Facebook does not clarify whether the goal is to bring this type of publication to other locations, but it is quite likely to happen at some point.

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.

Understanding 5G – Market Reality, Alternatives and Hype

The next generation of mobile technology differs significantly from previous mobile standards. Rather than being designed to solve a specific problem, the 5G will have the ability to handle a broad range of use cases.

These use cases will benefit, and in some cases, be limited by the wide spectrum range in which 5G can operate. This is another way in which 5G is different from older mobile standards: it will work both above and below the 6GHz band.

What does 5G mean to previous generations? The fate of 2G and 3G really has little to do with 5G. 2G and 3G investments are more related to the state of LTE. Carrier decisions should be driven by existing customer base considerations, device costs, M2M and 2G subscribers, and the mix of voice and data traffic.

Attention with the hype around 5G

Internet of Things (IoT) is being positioned as the leading 5G application, but IoT’s business models stil

The next generation of mobile technology differs significantly from previous mobile standards. Rather than being designed to solve a specific problem, the 5G will have the ability to handle a broad range of use cases.

These use cases will benefit, and in some cases, be limited by the wide spectrum range in which 5G can operate. This is another way in which 5G is different from older mobile standards: it will work both above and below the 6GHz band.

What does 5G mean to previous generations? The fate of 2G and 3G really has little to do with 5G. 2G and 3G investments are more related to the state of LTE. Carrier decisions should be driven by existing customer base considerations, device costs, M2M and 2G subscribers, and the mix of voice and data traffic.

Attention with the hype around 5G

Internet of Things (IoT) is being positioned as the leading 5G application, but IoT’s business models still need a lot of work to prove themselves to be sustainable and then justify 5G investments.

MmWave have real limitations: they are not good for coverage and more susceptible to interference than the spectrum bands used today in mobile networks. Limited coverage hinders use for IoT and enhanced mobile broadband outside very limited areas.

The initial mmWave networks will use 5G as a network download to 4G. At first, the first 5G networks will be built for capacity, not for coverage. The first 5G networks will require small cells, which are still challenging and costly to deploy.

With NB-IoT and LTE-Advanced Pro that drive LTE performance for IoT and mobile broadband applications at 1Gbps, respectively, the need for 5G in lower spectrum bands (sub-3.5GHz) will be limited.

But where will 5G bring benefits?

  • It will provide mobile operators with access to broader spectrum
  • It may become an air interface for all spectrum bands
  • The core network with digital transformation will open the mobile network for more applications

IBM And MIT Are Researching Jointly Artificial Intelligence

The renowned Massachusetts Institute of Technology and the company IBM are setting up a joint laboratory for artificial intelligence: the MIT-IBM Watson AI Lab is to carry out basic research and develop concrete technologies with the help of physicists, economists, and computer developers.

IBM will contribute 240 million dollars to the cooperation between the company and the university for the next ten years, reports VentureBeat. Both institutions will hire researchers for the new laboratory, which will jointly carry out research in four areas that have been identified as relevant for the future with AI.

The research areas of MIT-IBM Watson AI Lab include, in practical application, the development of new AI algorithms and

The renowned Massachusetts Institute of Technology and the company IBM are setting up a joint laboratory for artificial intelligence: the MIT-IBM Watson AI Lab is to carry out basic research and develop concrete technologies with the help of physicists, economists, and computer developers.

IBM will contribute 240 million dollars to the cooperation between the company and the university for the next ten years, reports VentureBeat. Both institutions will hire researchers for the new laboratory, which will jointly carry out research in four areas that have been identified as relevant for the future with AI.

The research areas of MIT-IBM Watson AI Lab include, in practical application, the development of new AI algorithms and the use of physical research for new hardware in this area, especially in quantum computing. In more theoretical future studies, the application possibilities of AI in specific industrial areas as well as the possible effects of this technology on society are to be investigated.

The research of AI should be useful to both partners and is not the first collaboration between MIT and IBM in this area. Last year, IBM and the MIT Department of Brain and Cognitive Sciences published a joint study on image recognition by AI. The results of the new laboratory are to be partly made available to the world but partly also in commercial products from IBM.

Unlike other AI labs, such as Google’s Deepmind and the OpenAI non-profit project launched by Elon Musk, Microsoft, Amazon and other investors, IBM’s Watson AI Lab is more interdisciplinary.