BMW Group to Start Research With IBM Watson

December 15, 2016

Dec. 15 — IBM (NYSE: IBM) has announced a new collaboration with the BMW Group, through which the companies will work together to explore the role of Watson cognitive computing in personalizing the driving experience and creating more intuitive driver support systems for cars of the future.

As part of the agreement, the BMW Group will collocate a team of researchers at IBM’s global headquarters for Watson Internet of Things (IoT) in Munich, Germany and the companies will work together explore how to improve intelligent assistant functions for drivers.

IBM recently pledged to invest USD $200 million to make its new Munich center one of the world’s most advanced facilities for collaborative innovation as part of a global investment of USD $3 billion to bring Watson cognitive computing to the Internet of Things. BMW, which also has its company headquarters in Bavaria’s capital, is one of the first companies to sign up to be collocated inside IBM’s building within one of the newly-launched industry ‘collaboratories’.  A team of BMW Group engineers will work alongside IBM’s own team of technologists, developers and consultants.

“Watson is transforming how people interact with the physical world – helping to create safer, more efficient and personal experiences at home, at work and on the road,” said Harriet Green, Global Head of IBM’s Watson IoT business. “With this agreement, our companies will work together to lay the foundations so that drivers can benefit from Watson’s conversational and machine learning capabilities. Our insight shows that while the car will remain a fixture in personal transportation, the driving experience will change more over the next decade than at any other time of the automobile’s existence.”

To further its automotive research and demonstrate the possibilities of Watson IoT technologies to clients, IBM will locate 4 BMW i8 hybrid sports cars at its Munich Watson IoT HQ. Prototype solutions which will run on IBM’s Bluemix cloud platform will help demonstrate how Watson can enable new conversational interfaces between cars and drivers.

Watson’s machine learning capabilities offer new opportunities for vehicles to learn about the preferences, needs and driving habits of their drivers over time, customizing the driving experience accordingly and improving levels of comfort and safety. The car’s manual will be ingested into Watson so that drivers can ask questions about the vehicle in natural language while still being able to focus on the road. The aim is for the solution to also incorporate data from the Weather Company (an IBM business) as well as realtime, contextual updates about route, traffic and vehicle status in order to enrich the driving experience and make recommendations to the driver.

IBM Institute for Business Value study, A New Relationship – People and Cars

According to an IBM Institute for Business Value study, “A New Relationship — People and Cars,” vehicles are becoming part of the Internet of Things (IoT) as new mobility options transform consumers’ lives and expectations. Today’s cars are evolving from a mode of transport to a new kind of moving data center with onboard sensors and computers that capture information about the car, its driver, occupants and surroundings. At the same time, conversational interfaces are enabling drivers to interact with their vehicles more naturally and, with machine learning, cars can get to know their drivers better and personalize the experience accordingly.

According to IBM’s studies, cars are increasingly becoming:

1) Self-healing: Vehicles that are able to diagnose and fix themselves and even fix other vehicles with issues without human help.

2) Self-socializing: Vehicles that connect with other vehicles and the world around them.

3) Self-learning: Vehicles with cognitive capability to continuously learn and give advice based on the behavior of the driver, passengers, and other vehicles.

4) Self-driving: Vehicles are moving from limited automation to becoming fully autonomous.

5) Self-configuring: Vehicles adapt themselves to a driver’s personal preferences — everything from seat height and position to their drivers’ favorite destinations.

6) Self-integrating: Like other smart devices, these vehicles will be integrated parts of the IoT, connecting traffic, weather, and mobility events as they move around.

IBM’s Global Momentum in Watson IoT

As part of a global investment of $3 billion USD designed to bring Watson cognitive computing to IoT, IBM has allocated more than $200 million USD to its global Watson IoT headquarters in Munich. The investment, one of the company’s largest ever in Europe, is in response to escalating demand from customers who are looking to transform their operations using a combination of IoT and Artificial Intelligence technologies. Currently IBM has 6,000 clients globally who are tapping Watson IoT solutions and services, up from 4,000 just 8 months ago.

IBM’s Watson IoT headquarters will be home to the first ever cognitive IoT Collaboratories –hands-on industry labs where clients and partners can work together with IBM’s 1,000 Munich-based researchers, engineers, developers and business experts to drive collaborative innovation in the automotive, electronics, manufacturing, healthcare and insurance industries. It will also benefit from an interactive Client Experience Center equipped with the latest technologies to showcase the possibilities of Watson IoT in cars, buildings, factories and appliances. IBM has deep knowledge and expertise in the automotive industry with dedicated automotive practices in all major vehicle producing countries, software solutions and business consultants with deep industry know-how.

For more information about IBM Watson IoT, visit: www.ibm.com/iot.


Source: IBM

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Cerebras Doubles AI Performance with Second-Gen 7nm Wafer Scale Engine

April 20, 2021

Nearly two years since its massive 1.2 trillion transistor Wafer Scale Engine chip debuted at Hot Chips, Cerebras Systems is announcing its second-generation technology (WSE-2), which its says packs twice the performance Read more…

The New Scalability

April 20, 2021

HPC is all about scalability. The most powerful systems. The biggest data sets. The most cores, the most bytes, the most flops, the most bandwidth. HPC scales! Notwithstanding a few recurring arguments over the last twenty years about scaling up versus scaling out, the definition of scalability... Read more…

Supercomputer-Powered Climate Model Makes Startling Sea Level Rise Prediction

April 19, 2021

The climate science community is tasked with striking a difficult balance: inspiring precisely the amount of alarm commensurate to the climate crisis. Make estimates that are too conservative, and the public might not re Read more…

San Diego Supercomputer Center Opens ‘Expanse’ to Industry Users

April 15, 2021

When San Diego Supercomputer Center (SDSC) at the University of California San Diego was getting ready to deploy its flagship Expanse supercomputer for the large research community it supports, it also sought to optimize Read more…

GTC21: Dell Building Cloud Native Supercomputers at U Cambridge and Durham

April 14, 2021

In conjunction with GTC21, Dell Technologies today announced new supercomputers at universities across DiRAC (Distributed Research utilizing Advanced Computing) in the UK with plans to explore use of Nvidia BlueField DPU technology. The University of Cambridge will expand... Read more…

AWS Solution Channel

Research computing with RONIN on AWS

To allow more visibility into and management of Amazon Web Services (AWS) resources and expenses and minimize the cloud skills training required to operate these resources, AWS Partner RONIN created the RONIN research computing platform. Read more…

The Role and Potential of CPUs in Deep Learning

April 14, 2021

Deep learning (DL) applications have unique architectural characteristics and efficiency requirements. Hence, the choice of computing system has a profound impact on how large a piece of the DL pie a user can finally enj Read more…

Cerebras Doubles AI Performance with Second-Gen 7nm Wafer Scale Engine

April 20, 2021

Nearly two years since its massive 1.2 trillion transistor Wafer Scale Engine chip debuted at Hot Chips, Cerebras Systems is announcing its second-generation te Read more…

The New Scalability

April 20, 2021

HPC is all about scalability. The most powerful systems. The biggest data sets. The most cores, the most bytes, the most flops, the most bandwidth. HPC scales! Notwithstanding a few recurring arguments over the last twenty years about scaling up versus scaling out, the definition of scalability... Read more…

San Diego Supercomputer Center Opens ‘Expanse’ to Industry Users

April 15, 2021

When San Diego Supercomputer Center (SDSC) at the University of California San Diego was getting ready to deploy its flagship Expanse supercomputer for the larg Read more…

GTC21: Dell Building Cloud Native Supercomputers at U Cambridge and Durham

April 14, 2021

In conjunction with GTC21, Dell Technologies today announced new supercomputers at universities across DiRAC (Distributed Research utilizing Advanced Computing) in the UK with plans to explore use of Nvidia BlueField DPU technology. The University of Cambridge will expand... Read more…

The Role and Potential of CPUs in Deep Learning

April 14, 2021

Deep learning (DL) applications have unique architectural characteristics and efficiency requirements. Hence, the choice of computing system has a profound impa Read more…

GTC21: Nvidia Launches cuQuantum; Dips a Toe in Quantum Computing

April 13, 2021

Yesterday Nvidia officially dipped a toe into quantum computing with the launch of cuQuantum SDK, a development platform for simulating quantum circuits on GPU-accelerated systems. As Nvidia CEO Jensen Huang emphasized in his keynote, Nvidia doesn’t plan to build... Read more…

Nvidia Aims Clara Healthcare at Drug Discovery, Imaging via DGX

April 12, 2021

Nvidia Corp. continues to expand its Clara healthcare platform with the addition of computational drug discovery and medical imaging tools based on its DGX A100 platform, related InfiniBand networking and its AGX developer kit. The Clara partnerships announced during... Read more…

Nvidia Serves Up Its First Arm Datacenter CPU ‘Grace’ During Kitchen Keynote

April 12, 2021

Today at Nvidia’s annual spring GPU Technology Conference (GTC), held virtually once more due to the pandemic, the company unveiled its first ever Arm-based CPU, called Grace in honor of the famous American programmer Grace Hopper. The announcement of the new... Read more…

Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?

January 13, 2021

The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from Julialang.org. I Read more…

Intel Launches 10nm ‘Ice Lake’ Datacenter CPU with Up to 40 Cores

April 6, 2021

The wait is over. Today Intel officially launched its 10nm datacenter CPU, the third-generation Intel Xeon Scalable processor, codenamed Ice Lake. With up to 40 Read more…

CERN Is Betting Big on Exascale

April 1, 2021

The European Organization for Nuclear Research (CERN) involves 23 countries, 15,000 researchers, billions of dollars a year, and the biggest machine in the worl Read more…

Programming the Soon-to-Be World’s Fastest Supercomputer, Frontier

January 5, 2021

What’s it like designing an app for the world’s fastest supercomputer, set to come online in the United States in 2021? The University of Delaware’s Sunita Chandrasekaran is leading an elite international team in just that task. Chandrasekaran, assistant professor of computer and information sciences, recently was named... Read more…

HPE Launches Storage Line Loaded with IBM’s Spectrum Scale File System

April 6, 2021

HPE today launched a new family of storage solutions bundled with IBM’s Spectrum Scale Erasure Code Edition parallel file system (description below) and featu Read more…

10nm, 7nm, 5nm…. Should the Chip Nanometer Metric Be Replaced?

June 1, 2020

The biggest cool factor in server chips is the nanometer. AMD beating Intel to a CPU built on a 7nm process node* – with 5nm and 3nm on the way – has been i Read more…

Saudi Aramco Unveils Dammam 7, Its New Top Ten Supercomputer

January 21, 2021

By revenue, oil and gas giant Saudi Aramco is one of the largest companies in the world, and it has historically employed commensurate amounts of supercomputing Read more…

Quantum Computer Start-up IonQ Plans IPO via SPAC

March 8, 2021

IonQ, a Maryland-based quantum computing start-up working with ion trap technology, plans to go public via a Special Purpose Acquisition Company (SPAC) merger a Read more…

Leading Solution Providers

Contributors

Can Deep Learning Replace Numerical Weather Prediction?

March 3, 2021

Numerical weather prediction (NWP) is a mainstay of supercomputing. Some of the first applications of the first supercomputers dealt with climate modeling, and Read more…

Livermore’s El Capitan Supercomputer to Debut HPE ‘Rabbit’ Near Node Local Storage

February 18, 2021

A near node local storage innovation called Rabbit factored heavily into Lawrence Livermore National Laboratory’s decision to select Cray’s proposal for its CORAL-2 machine, the lab’s first exascale-class supercomputer, El Capitan. Details of this new storage technology were revealed... Read more…

New Deep Learning Algorithm Solves Rubik’s Cube

July 25, 2018

Solving (and attempting to solve) Rubik’s Cube has delighted millions of puzzle lovers since 1974 when the cube was invented by Hungarian sculptor and archite Read more…

African Supercomputing Center Inaugurates ‘Toubkal,’ Most Powerful Supercomputer on the Continent

February 25, 2021

Historically, Africa hasn’t exactly been synonymous with supercomputing. There are only a handful of supercomputers on the continent, with few ranking on the Read more…

AMD Launches Epyc ‘Milan’ with 19 SKUs for HPC, Enterprise and Hyperscale

March 15, 2021

At a virtual launch event held today (Monday), AMD revealed its third-generation Epyc “Milan” CPU lineup: a set of 19 SKUs -- including the flagship 64-core, 280-watt 7763 part --  aimed at HPC, enterprise and cloud workloads. Notably, the third-gen Epyc Milan chips achieve 19 percent... Read more…

The History of Supercomputing vs. COVID-19

March 9, 2021

The COVID-19 pandemic poses a greater challenge to the high-performance computing community than any before. HPCwire's coverage of the supercomputing response t Read more…

HPE Names Justin Hotard New HPC Chief as Pete Ungaro Departs

March 2, 2021

HPE CEO Antonio Neri announced today (March 2, 2021) the appointment of Justin Hotard as general manager of HPC, mission critical solutions and labs, effective Read more…

GTC21: Nvidia Launches cuQuantum; Dips a Toe in Quantum Computing

April 13, 2021

Yesterday Nvidia officially dipped a toe into quantum computing with the launch of cuQuantum SDK, a development platform for simulating quantum circuits on GPU-accelerated systems. As Nvidia CEO Jensen Huang emphasized in his keynote, Nvidia doesn’t plan to build... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire