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Ford and Google team on Android in the dashboard and the cloud everywhere else

Ford and Google have inked a deal on connected cars, with new models set to get Android-powered dashboards, while Team Upshift will be a new collaborative group to explore new ways to build, connect, and sell cars, SUVs, and trucks. Meanwhile, the Google Cloud will be Ford’s preferred cloud provider – though not its only cloud provider – with implications for owners, dealers, and the automaker as it begins production of new models.

From 2023, we’ll see the first Ford and Lincoln models to use Android in the dashboard. That will include the Google Assistant for voice control, Google Maps for navigation, and access to the Google Play store for third-party apps and services tailored to in-vehicle use.

We’ve seen Android Automotive OS used this way already, of course, with Volvo and Polestar already having vehicles relying on the car-centric platform in dealerships. GM and other automakers have announced plans to adopt the system, too. Unlike Android Auto, which projects a smartphone interface on top of the vehicle’s native software, Android Automotive OS runs in the vehicle itself. That allows it deep connections with things like engine status, battery charge level, and more.

What it may not mean, though, is an end to the now-familiar SYNC design we’ve seen in recent Ford vehicles. “We still see SYNC as a strong differentiator, it’s in the latest version of the F-150, our Bronco, our Mach-E, and customers will still be able to experience it there,” David McClelland, vice president of Strategy and Partnerships at Ford, says. However, from calendar year 2023 we’ll see the transition to Android across all vehicles, with the automaker expecting it across all countries apart from China. “You’ll see much more OTA. The customer’s experience will get better over the lifetime of the vehicle.”

Manufacturers using Android Automotive OS can customize its UI, to match the rest of their cabin aesthetic. The end result could be an interface that looks like what you’d find in, say, the new Mustang Mach-E electric crossover, but with a completely different – and more flexible – OS behind it. For now, Ford isn’t giving details – beyond McClelland saying the experience will be “uniquely Ford and Lincoln” – though it is confirming that things like Apple CarPlay and Ford Smart Device Link (SDL) will continue to be supported even after the Android transition, as will Alexa integration.

Certainly, the pandemic has accelerated a shift in buying patterns for new and used vehicles. For a start we’ve seen the rise of services like Carvana – pushing an app-based research, financing, and ordering process with cars and SUVs delivered rather than provided from a central dealership – with some automakers experimenting with on-demand test drives and similar. All the same, attempts to shift drivers to a subscription model have been less effective, with several automakers quietly scaling back or ending altogether their attempts to circumnavigate leases and financing with an all-in single payment and a flexible loan term.

It’ll all be powered by the Google Cloud, with lashings of artificial intelligence (AI), machine learning (ML), and data analytics. Ford says it hopes to offer new cloud-based services to owners with more personalization, but also to use the technology internally, helping speed up product development, along with manufacturing and supply chain management. It also sees potential for vision AI, to improve employee training and boost manufacturing equipment reliability.

That combination of data could also make communicating between Ford, the vehicle, and the owner more effective, it’s suggested. For example, Ford is looking at how connected cars and the cloud could help “fast track” things like real-time maintenance requests, or even trade-in alerts.

It’s not the first automaker and big tech hook-up we’ve seen in recent months, mind. Back in mid-January, Microsoft announced a deal with Cruise AV – General Motors’ autonomous car company – to make Azure its cloud and edge computing preferred platform. Microsoft also took part in a new $2 billion funding round for Cruise, along with Honda, GM, and other investors.

Cloud and edge computing have particular relevance for driverless vehicles, which can tap into collaborative learning shared by all of the self-driving models. At the same time, by pushing some of the processing to the edge, where large quantities of data can be filtered first, it can also make for a more manageable use of bandwidth where the alternative is pushing all the raw data to the primary cloud for processing in one place.

“The ability for us to have a more intimate relationship with the customer because of their behavior in the vehicle will make, for example, the online purchasing experience much more personalized,” Ford’s McClelland says, “and their interaction with the dealerships much more personalized.”

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Google Cloud Platform Lightens The Burden On Data Engineers And Analysts

How Google cloud platforms are reducing the burden on data engineers and analysts

Lately, the market for

What is the Google Cloud Platform (GCP)?

Machine

What is Cloud Computing?

Cloud computing is an on-request conveyance of figure power, information base capacity, applications, and other IT assets through a cloud administration stage by means of the web with pay-more only as costs arise valuing. It is the utilization of far-off servers on the web to store, oversee and deal with information instead of a neighbourhood server or your PC. Cloud computing permits organizations to stay away from or limit front and centre IT foundation expenses to keep their applications ready quicker, with further developed sensibility and less support, and it empowers IT groups, to change assets quickly to satisfy fluctuating and unusual needs. Cloud computing suppliers offer their administrations as indicated by various models, of which the three standard models for each NIST (National Institute of Standards and Technology) are:

Infrastructure as a Service (IaaS)

Platform as a Service (PaaS), and

Software as a Service (SaaS)

Why Google Cloud Platform?

Since you have a concise thought of what is Google Cloud Platform and Cloud Computing, we should comprehend the reason why one should pull out all the stops. Google Cloud Platform, is a set-up of distributed computing administrations that sudden spike in demand for the very foundation that Google utilizes inside for its end-client applications, for example, Google Search, Gmail, Google Photos and YouTube.  

What are Google Cloud Platform (GCP) Services?

Google offers a wide array of services. Following are the significant Google Cloud Services:

Register

Organizing

Capacity and Databases

Huge Data

AI

Personality and Security

The board and Developer Tools

Google Cloud Platform (GCP) is set to deliver two new arrangements focused on the assembling area and expecting to ease information designing and investigation assignments, binding together information from assorted machine learning resources to offer business bits of knowledge to industrial facility supervisors. GCP’s new contributions come when ventures in the assembling area are taking on frameworks to address the difficulty of unpredictable, questionable, complicated and uncertain (otherwise called VUCA) conditions emerging from worldwide peculiarities including the pandemic and the “Incomparable Resignation”.  

Edge-cloud association helps information extraction

Most endeavours, nonetheless, utilize different sorts of machine resources, frequently alluded to as functional innovation (OT), to gather information. To tackle the test of social affairs unique sorts of information from these resources, GCP has sent off the Manufacturing Connect instrument. Created in organization with modern edge information stage supplier Litmus Automation, the Manufacturing Connect apparatus is intended to interface with any OT resource, with a backend library that comprises more than 250 machine conventions.  

Fabricating applications, to incorporate other Google contributions

Ventures can likewise involve the Manufacturing Data Engine in blending with other GCP items to produce more experiences, do prescient support, and identify machine-level oddities. The Manufacturing Data Engine accompanies a prepared to-utilize mix with layouts from Google’s no-code Looked BI stage, intended to permit fabricating architects and plant directors to rapidly make and adjust custom dashboards, and add new machines, arrangements, and production lines. To perform prescient upkeep, undertakings can send prebuilt AI models and refine them with the assistance of Google Cloud engineers. To assist producing groups with finding machine-level inconsistencies, the organization has assembled a combination supporting GCP’s Time Series Insights API on the ongoing machine and sensor information that distinguishes inappropriate changes and gives alarms.  

Google faces rival industry-explicit arrangements

Google Cloud’s assembling arrangements will rival contributions from the pens of AWS, Microsoft Azure, Oracle, and IBM, which offer comparable arrangements packaged with additional flat abilities, said Holger Mueller, ahead examiner at Constellation Research. Google had begun the pattern of sending off industry-centered arrangements back in 2023 when Thomans Kurian was in charge, Mueller said, adding that these sorts of industry arrangements assist CIOs with opening the genuine capability of their cloud venture by assisting with guaranteeing a quicker time-to-showcase technique. Some of Google Cloud’s accomplices for assembling arrangements incorporate Intel, Splunk, Quant phi, Cognizant, Litmus Automation, Sotec, GFT and Soft serve. The organization has not given any sign about the overall accessibility of these arrangements, however, is supposed to feature them toward the finish of this current month.  

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Amazon And Intel Team Up Against Google In Iot

Amazon and Intel team up against Google in IoT

Amazon and Intel are teaming up to spread Alexa, with stronger voice control skills as well as faster ways for third-parties to build devices with the assistant baked in. The news, announced at Amazon’s AWS-focused re:Invent conference this week, sees Intel renew its efforts to get its silicon into places where, traditionally at least, you might expect to find ARM-based processors. However it’s also a big deal to Amazon, which faces stronger competition from Google and others in the smart home.

Their plan is fairly straightforward. On the one hand, it’s about making Alexa more capable, with Intel adding Alexa skills support to its Smart Home Hub platform. That means voice control over connected devices like lighting, locks, appliances, and other technologies.

It’s something Alexa can do in part today, using the integrations with Philips’ Hue lighting, SmartThings’ hub, and other devices, but Amazon and Intel are aiming to make it a whole lot more streamlined. That’ll begin from the point of setup, where Alexa will be able to guide users through installation and connection of Internet of Things (IoT) gadgets by voice, but also extend to everyday use. “This will allow end users to interact more naturally with the technology in their homes,” Ted Karczewski, Alexa Voice Services content marketing manager at Amazon, says of the partnership.

However, the second phase is about putting Alexa into more places, and making it easier for third-party device manufacturers to get up and running with Amazon’s virtual assistant. The two firms are cooking up a reference design for smart speakers, effectively a blueprint for the various hardware elements a successful Echo-like unit would include. That includes speakers and microphone arrays, so as to enable successful voice recognition from a distance.

It also covers the array of radios and wireless standards required in the current, fairly fragmented smart home. Along with WiFi and Bluetooth, there’ll be support for ZigBee and Z-Wave, which are both widely used by connected devices for their low power requirements and mesh networking support. Intel’s design would include sufficient flexibility that manufacturers building products based on the reference could add various sensors for monitoring environmental conditions, together with video if they see fit.

Meanwhile, there’ll be extended support for the Alexa SDK which allows existing connected devices to be linked in with Amazon’s cloud-based processing. According to the firms, the first reference design will be available in the first quarter of 2023.

NOW READ: Amazon Echo Dot Review

What’s interesting is that, even as Amazon looks to extend its reach into third-party hardware, it’s also reportedly looking to push the boundaries on its own range. While the 2nd-generation Echo Dot effectively took the original Echo and shrank it down – both in terms of physical size and the device’s price – leaks suggest Amazon is also investigating ways of augmenting voice-alone on future products. A new model is rumored to include a display for giving visual feedback in addition to spoken results.

Whether that will be sufficient to give Amazon an edge as Google pushes its own assistant and Google Home remains to be seen. The air-freshener-esque Google Home doesn’t have a display of its own, but it can tap into screens in the house that have been equipped with Chromecast dongles. Amazon is yet to do something similar with its own Fire TV Stick, though the latest iteration of that does have some Alexa control using a microphone on the Bluetooth remote.

SOURCE Amazon

Cloud Computing And Ai In The Automotive Industry

There are two ways to think about cloud computing in the context of the automobile sector. One component of the phrase is utilizing applications, data, and computing services to manage information, communication, and computing. To handle automotive features and data also refers to leveraging platforms like web-based apps and online digital services.

The latter describes using artificial intelligence to control certain automotive components and data. In terms of cloud computing, the automobile sector is a pioneer. Several automakers and IT companies leverage data to give comprehensive software solutions. Cloud-based collaboration, artificial intelligence, and augmented reality are some of the latest technologies.

The automotive value chain, which includes manufacturing, design, supply chain, production, post-production, “driving assistance” and “driver risk assessment” systems, is successfully using AI. Additionally, AI has aggressively revolutionized aftermarket services like insurance and predictive maintenance.

Application of Cloud Computing in the Automotive Industry Connected Vehicle

Any automobile, truck, bus, or other vehicle linked to neighboring devices through the internet is considered a connected vehicle. There are many examples. These cars use the Internet of Things (IoT) technology and can connect to passengers’ devices, read and send vehicle data, and receive software updates.

The use of connected car technology improves driving by initiating crucial conversations and events. In other words, linked vehicle technology enables communication between automobiles, buses, trucks, and other vehicles so that vital information about mobility and safety may be shared.

Autonomous Vehicles

Autonomous vehicles now frequently employ cloud computing for improved functioning. The development of autonomous vehicle technology might not have been conceivable without automotive cloud solutions.

Electric Cars

As the name implies, an electric vehicle (EV) uses electric motors rather than a fuel-dependent internal combustion engine to run on electric power. EVs are hence more ecologically friendly. Originally, these vehicles used nickel-metal hydride or lead-acid batteries; however, lithium-ion batteries, which are durable and have excellent energy retention capabilities, are currently used in most EVs.

Electric vehicles may share data with distant data centers thanks to cloud computing in automobiles to inform the driver of the road and weather conditions.

Application of Artificial Intelligence in the Automotive Industry Supply Chain

The auto industry may use predictive analytics driven by AI and many ML approaches. With the use of technology, they can quickly evaluate their component needs and predict future demand changes.

Production and Design

By using machine learning (ML) algorithms and AI-driven solutions, automakers may enhance various operations, including data classification for risk and vehicle damage appraisal. However, certain leaders in the automobile industry routinely integrate NLP, conversational interfaces, and computer vision techniques into their manufacturing processes.

Driver’s Assistance

The holistic driving experience may be enhanced by artificial intelligence (AI). By giving weather and traffic updates, suggesting the best routes, and enabling people to make purchases while driving, AI systems may direct drivers and ensure their safety.

Automobile Assurance

In the same way that drivers may use in-vehicle AI capabilities to gather accident information and complete claims, AI-powered systems can also help with filing insurance claims. This AI-powered system requires text production and processing, NLP, data analytics, and speech recognition.

Benefits of Cloud Computing and AI in the Automotive Industry

Improving Fuel Efficiency − AI has the potential to lower pollutants and increase fuel economy. Nissan is utilizing AI, for instance, to create a “smart” car that can change its engine power based on the road’s circumstances. The target is a 20% fuel usage reduction.

Complex Infrastructure − High-level activities in the automotive industry are both technically and non-technically complex. The auto sector necessitates scalability for business continuity and robust infrastructure support through high-level technical activities, analytics, and large dealer networks. You could occasionally need more space, resources, and time constraints when bringing ideas to life. Cloud platforms successfully address these.

Performance − AI has the potential to enhance vehicle performance. For instance, BMW is utilizing AI to create a system that can adjust engine power for various driving scenarios. Up to 5% more fuel efficiency is desired. Volkswagen is utilizing AI to create a system that detects auto parts manufacturing flaws. The aim is to reduce up to 30% and lower the cost of repairs.

Security − Due to service providers’ ongoing availability and monitoring, the cloud unquestionably provides a security benefit by significantly lowering the chance of malfunctions and breakdowns. Additionally, regular data backups guarantee that crucial data is not lost in the event of unexpected failures. Cloud professionals carry out regular system testing to adapt to shifting user expectations.

Conclusion

The Social And Academic Benefits Of Team Sports

Team sports are about so much more than their physical benefits. This is especially so when group sports activities are incorporated into a young person’s life. Studies have shown a direct correlation between physical activity and academic performance. A University of Kansas study looking at the performance of students in grades 9 to 12 showed that more than 97% of student athletes graduated high school, 10% higher than those students who had never participated in sports. Athletes were also shown to have better G.P.A. outcomes than non-athletes.

This might have to do with the increased cognitive ability that comes from playing sports. Physical activity naturally increases blood flow to the brain and activates endorphins, chemicals that are released when you exercise. Endorphins can impact your mood and work performance, meaning athletes may be more willing and capable of tackling that next big problem.

Team sports can also help with emotional development. Research published by the Canadian Fitness and Lifestyle Research Institute states that exercise can lead to a unique state of short-term relaxation. That relaxation can promote increased concentration, better memory, enhanced creativity, more effective problem solving, and an improved mood — all benefits that will extend into the classroom.

Team athletes are constantly working with a slate of other people, many of whom can become positive role models along the way. Team sports foster mentorship between older players and younger players, coaches and athletes, and more. Coaches in particular can play an important role in a young athlete’s life. Players who have positive sports mentors when they’re young are also more likely to seek effective role models throughout their life.

Soft skills are personal attributes that allow people to build positive social relationships. Team sports are an excellent source of soft skills development, as they allow athletes to grow within a supportive environment. Here are just a few of the soft skills fostered through team sports:

Communication Skills

While it might not be as obvious as sitting down and discussing a group project, team sports take a lot of communication — both spoken and unspoken. Communication skills are key in maintaining a functioning sports team, whether it’s listening to locker room pep talk, picking up on nonverbal cues given by other players, or expressing a thought during a post-game debrief.

As Jill Prudden said in her book “Coaching Girl’s Basketball Successfully,” players are expected to express their concerns, hopes, and disappointments to their coaches and their teammates. She also encourages her players to seek feedback from coaches as well as their classroom teachers, as a result fostering communications skills that will help them succeed in their academic endeavors.

Decisive Action

Sports plays happen fast, and athletes develop the skills needed to make effective snap decisions. Whether it’s a basketball player deciding to shoot or a soccer player realizing his best move is to pass to a teammate for the assist, athletes learn critical decision-making skills that will benefit them both during and after game time.

Any athlete who has played in a championship game knows the meaning of pressure. Sports create an environment where athletes learn to conquer their natural “fight or flight” instinct to make consistent and difficult decisions under high pressure situations. This ability to function under pressure translates to person who is better at making deadlines and working in stressful situations in the future.

Teamwork

This is an obvious one. Teamwork is all about collaborating with others to reach a common goal. The diverse pairing of personalities and scenarios will help your athlete become adaptable, persistent, and patient. Team sports also teach a sense of group and individual responsibility.

Being on a team with a dozen or more of your peers is an excellent way to recognize the individual talents each person brings to the table. As the Janssen Sports Leadership Center says, working with teammates teaches athletes important life skills such as to respect one another, act in unselfish ways, make good decisions on behalf of the team, and not cut corners.

Time Management

The time commitment required by athletes can be comparable to that of a full-time job. Think of all the different commitments an athlete needs to juggle: competitions, strength and conditioning, team meetings, sports physiotherapy — and these are just the sports-related obligations!

Necessity demands that athletes learn valuable time management skills, otherwise they would never be able to keep up with academics and sport. Effective time management planning is part of why a recent article published by Fast Company argues employers should consider hiring a former student athlete.

Team athletes know that every second counts, and this value of time will translate to their everyday life. As Shannon Miller, a member of the 1992 and 1996 United States Olympic women’s gymnastics team told Forbes, she kept a schedule that was almost minute by minute when she was an athlete. This careful planning and precision helps athletes focus on reaching their goals sooner than non-athletes.

Build Self-Esteem and a Sense of Community

Team sports are said to bolster the five C’s: competence, confidence, connections, character, and caring. At the heart of this is self-esteem – an increased sense of self as a result of better social interactions, stronger relationships, and higher academic performance.

Team sports provide athletes with a natural community. A report from True Sport says that youth who play sports have higher levels of social support, and that the sense of community created with teammates, coaches, and family members incubates the perfect setting for critical self-esteem development.

In the end, the opportunity to participate in team sports provides athletes with valuable skills that will take them beyond the field, pitch, and court.

Watch Ford And Bosch’S Garage Where The Cars Park Themselves

Watch Ford and Bosch’s garage where the cars park themselves

Ford is testing an automated parking garage that would allow vehicles to be sent off to park themselves, potentially paving the way to ease self-driving technologies into the mainstream. The system, which Ford co-developed with Bosch, allows Escape SUVs to navigate themselves through a specially-equipped parking structure, and then be remotely summoned again via an app.

It’s not the first time we’ve seen the technology. Back in 2023, Mercedes and Bosch began installing a similar system in a parking structure in Stuttgart, Germany. Located at the Mercedes-Benz museum, it was used for demonstrations of the automaker’s take on automated driving and vehicle-to-infrastructure communications.

Come mid-2024, Mercedes was ready to offer automated valet parking vehicles for hire, though again still only really as a proof of concept more than a commercial service.

Ford’s approach is similar. It outfitted the Bedrock Assembly Garage in Detroit, MI, with the Bosch smart infrastructure system, which communicates via V2I with the Escape SUVs. The sensors built into the garage recognize and localize the vehicle, and help navigate it to an empty space.

However they also track the location of pedestrians and other potential hazards, such as cars being manually parked by human drivers. If something is in in the Escape’s way when the automated parking system is active, it stops the car.

Actually using the system is fairly straightforward, at least as Bosch and Ford envisage it. The driver leaves their vehicle in the designated area at the entrance of the parking structure, and then uses the app to dispatch it to an available space. When they return, they use the app to request it back, and the car and garage work together to navigate the vehicle back to the collection point.

While autonomous vehicles aren’t uncommon, at least in pre-production and research states, today, what this automated valet parking system illustrates is how useful V2I could be. For a start, much of the technology is embedded in the parking garage and not the vehicle. Ford can use existing driver assistance systems, many of which fall under its Ford Co-Pilot360 umbrella which typically includes adaptive cruise control and lane-keeping, to handle things like steering, braking, the transmission, and even the indicators, and leave the primary modifications to the building.

Those modifications can be retrofitted, as was the case here, or embedded in the structure from the point of construction. To sweeten the deal, there’s the promise of much more efficient use of space. Since parking areas for automated valets wouldn’t need room for pedestrians to navigate through them, they could occupy up to 20-percent more vehicles in the same amount of space.

Meanwhile, Ford and Bosch are also looking at how the same technology could be used for other convenience features. One possibility is that the vehicle could drive itself to other areas in the garage for specific needs, such as washing or electric car charging.

Clearly this is all a long way from vehicles being able to drive themselves on every road, in every condition. There, Ford’s ambitions are much more conservative, kicking off with the Level 2 hands-free Active Drive Assist which will be offered on the new Mustang Mach-E EV crossover and the new F-150 pickup truck.

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