Editor's Note: The rapid pace of technological innovation is changing the nature of warfare, and futurists are busy spinning out scenarios of a U.S.-China clash in twenty years involving nano-technology and fully autonomous weapons systems. Yet how will new technologies shape insurgency and counterinsurgency, which conjures up images of guerrillas hiding in Vietnam's jungles? My Brookings colleague Chris Meserole looks at two of the latest books on the subject and assesses how the balance between rebels and government may tilt. When U.S. Special Forces entered Afghanistan in 2001, Facebook didn't exist, the iPhone had yet to be invented, and "A.I." often referred to an NBA star. Seventeen years later, American special operations forces continue to ride horseback in rural Afghanistan, but information technology has advanced rapidly.
The Intel Software and Services Group (SSG) connects Intel to the worldwide software community. SSG strives to bring competitive advantage to Intel platforms by helping independent software vendors, operating system developers, OEMs, channel members and systems integrators deliver exceptional customer value and achieve differentiation on Intel processor technologies. SSG provides global leadership to the software community through its technical expertise, industry enabling activities, and developer products and programs.
Stretchable plant wearables and smart tags dropped by drones aim to help give farming a big data makeover. The relatively cheap technologies for mass monitoring of individual plants across large greenhouses or crop fields could get field tests in three countries starting in 2019. The idea came from researchers at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia with expertise in flexible electronics. After talking with colleagues who were cultivating genetically engineered plants in greenhouses, they recognized the need for inexpensive sensors that could be deployed en masse and report on individual plant conditions. Their early offerings include a stretchable sensor for measuring micrometer-level changes in plant growth and a "PlantCopter" temperature and humidity sensor designed to be dropped from a drone and corkscrew its way through the air for a gradual descent.
Artificial Intelligence company, TAIGER, announces today the opening of two new offices in Dubai and Hong Kong. Following successes in Singapore, this move is a strategic step to offer organizations information processing and knowledge representation AI to improve and optimize whole of organization work processes globally. TAIGER's AI solutions applies advanced semantic and human-reasoning, along with machine learning and natural language processing to deliver an unrivalled accuracy of 90% and above in 3 key enterprise work processes – information extraction, virtual assistance and enterprise search. These cities were chosen after successful operations in finance, government, legal, hospitality and healthcare industries and expansion with a specialized team in consultative sales and technical support will allow for higher focus and closer relationships with existing and potential clients and partners. Positioned as one of the fastest growing start-ups in Singapore, this expansion follows TAIGER's largest funding round with a Series B totaling USD 25 Million.
Experience and Background: 12 years of overall experience 6 years of experience as solution Architect particularly in automation framework based solutions, Cognitive learning based solutions, Analytics solutions like descriptive, predictive, prescriptive etc. and business intelligence solutions. Experience in data modeling activities Minimum 1 years of experience in Hadoop/Big Data platform Architecture Areas of Expertise: Diverse experience in Architecture, Solution Design & Delivery Data analysis including data integration and transformation for different data formats like structured, semi-structured and unstructured Cognitive or Machine learning based algorithms and implementation Big Data concepts like Hadoop, MapReduce or Spark, NoSQL, In-memory or real time processing etc. Hardware infrastructure knowledge and sizing Well versed in concepts like data mining, text mining, data classification, pattern matching, pattern recognition etc. Advanced analytics comprising of predictive or prescriptive solutions Concepts of solution hosted in cloud infrastructure Strong Domain experience preferably in Banking, Aviation, Healthcare, Telecom (Either one of them will suffice). Tools and Technologies: Hadoop, IBM Watson or Alchemy API based tools, Java APIs, Knowledge about Python or R programing for analytical techniques, Visualization tools knowledge such as Tableau, Qlikview, Cognos, OBI, BO etc., Database knowledge including RDBMS and concepts of NoSQL, Data modeling tools, Natural Language processing Salary: Not Disclosed by Recruiter Industry: IT-Software / Software Services Functional Area: IT Software - DBA, Datawarehousing Role Category: Database Architect/Designer Role: Database Architect/Designer Keyskills: JavaMachine LearningData MiningNatural Language ProcessingSolution DesignNoSQLText MiningPythonPattern RecognitionBusiness Intelligence