Archive for the ‘germany’ Category
IBM has made sizable investments in the Internet of Things (IoT) space over the past several years.
Last October, the company announced it would be spending $3B U.S. to bring Watson cognitive computing to IoT, and allocated more than $200M U.S. to its global Watson IoT headquarters in Munich.
When that announcement was made, IBM had 6,000 clients globally tapping Watson IoT solutions and services, and the momentum continues with its announcement earlier today that the company was launching a new IBM Watson IoT solution, Cognitive Visual Inspection.
Announced at Hannover Messe 2017, Cognitive Visual Inspection will provide manufacturers with a ‘cognitive assistant’ on the factory floor to minimize costly defects and increase product quality.
In fact, based on early testing of a production cycle that typically takes 8 days with ½ day required for needed visual inspection, the new IBM solution reduced inspection time by 80 percent and cut manufacturing defects by 7-10 percent.
Using an ultra-high definition (UHD) camera and cognitive capabilities from IBM Watson, the solution captures images of products as they move through production and assembly, and together with human inspectors, can detect defects in products, including scratches or pinhole-size punctures.
The solution, which continuously learns based on human assessment of the defect classifications in the images, is designed to help manufacturers improve for product excellence, achieve never seen before specialization levels, and deliver on the promise of Industry 4.0.
According to Business Insider Intelligence, the installed base of manufacturing IoT devices is expected to swell 3 times — from 237 million in 2015 to 923 million in 2020. By that year, manufacturers will spend approximately $267 billion on the IoT.
Manufacturing of these devices require the highest level of inspection for quality during every stage of production. Over half of these quality checks involve visual confirmation, which helps ensure that all parts are in the correct location, have the right shape or color or texture, and are free from scratches, holes or foreign particles.
Automating these visual quality checks is difficult due to volume and variety of products, as well as the fact that defects can be any size –from a tiny puncture to a cracked windshield on a vehicle.
The new solution helps inspectors accelerate the sometimes tedious and expertise-based visual inspection process to quickly identify and classify defects in the manufacturing process – helping to increase production yield.
Munich Leukemia Laboratory (MLL) is a state-of-the-art leukemia and lymphoma diagnostic and research laboratory based in Munich. It recently partnered with IBM and Illumina, Inc., the global leader in next-generation sequencing technology, to help build a new cognitive technology prototype that aims to help researchers improve leukemia treatment.
Leukemia’s prevalance has been on the rise in Europe, with 15,000 new diagnoses each year in Germany alone. MLL will use NovaSeq technology from Illumina to sequence samples from its biobank of more than 500,000 cases.
MLL researchers then plan to use Watson to help analyze the genomic data alongside other data sources. The project intends to include innovative testing processes such as automated phenotyping and genotyping including whole genome sequencing (WGS) and transcriptome sequencing (RNASeq) in 5,000 cases.
The ultimate goal is to develop a Watson-based technology prototype that can help analyze genomic and phenotypic data alongside medical literature, guidelines and study results, providing clinicians with information relevant to leukemia care. Following successful development, the tool could also be made available to other laboratories in the future.
Prof. Torsten Haferlach, co-founder and CEO of MLL, states, “We at MLL are excited to combine our data and knowledge, IBM’s cognitive computing tools, and Illumina’s new sequencing platform to create a new era of insights in leukemia biology that will also drive more personalized treatment strategies.”
MLL will utilize Illumina’s BaseSpace® Informatics Suite to be able to streamline data analysis, storage, data curation and aggregation. The BaseSpace Sequence Hub Frankfurt site will help MLL manage the data as the project scales and facilitates data transfer to IBM Watson.
Additional tertiary analysis with BaseSpace Cohort Analyzer and BaseSpace Correlation Engine allows MLL’s genomic data to be combined with other clinical data to enhance interpretation results.
It’s the ultimate driving machine. And the ultimate cognitive computing technology for providing a personalized driving experience.
IBM has announced a new collaboration with the BMW Group in which the two companies will work together to explore the role of Watson cognitive computing create 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.
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.