Discovering, evolving, and sometimes unsettling, artificial intelligence mirrors our human learning. Yet, as it integrates further, questions arise: Can it handle quality assurance? What's in the future? And crucially, how much control are we comfortable relinquishing to it?

We explore two critical applications of AI and ML in quality management: predictive quality analytics and automated quality inspections.

The AI features in communications software, such as voice-to-text and message-flagging, have made for faster, easier customer-contractor communications that are also more personalized and have less room for misunderstanding.

AI-enabled HVAC systems can offer benefits for building owners and occupants. By monitoring and analyzing conditions inside a space, as well as outdoors, the system can constantly make adjustments to the environment based on the data being collected.

Contractors have to spend the time to effectively choose the right business management software that allows AI capabilities to fold into their day-to-day operations with ease.

AI can make work easier, more efficient for boots-on-the-ground HVAC professionals.

AI, especially its use in information gathering, needs to be harnessed by HVAC contractors if they want to be noticed when customers are searching for services online.

Artificial intelligence, or AI, is now able to handle many of an HVAC contractor’s administrative tasks, and also help employees perform their own tasks better.

Artificial intelligence (AI) is one of the most promising — and exciting — technologies to come to the HVACR industry in a long time.

Rapid urbanisation, coupled with the lack of coordination in the use of resources, such as taxis and security personnel, has negatively affected a wide array of quality-of-life metrics. These include waiting time in queues, response time for emergencies, and the number of traffic violations in cities. Using AI and Machine Learning methods, aggregation systems have been developed and adopted to improve the matching of resources and demand, thereby enhancing the efficiency of real-world transportation, emergency response and security systems. In this podcast, Associate Professor Pradeep Varakantham from the SMU School of Information Systems shares how AI can be used to improve transportation and security.

Data has emerged as the most important driver for modern economic development. New industries have arisen from the use of data with personal information as the core asset, while many traditional models of business are ‘disrupted’ or drastically transformed. Artificial Intelligence (A.I.) has also become an integral tool for the management and processing of data, including personal data, as it provides greater accuracy and capability. How should the use of A.I. in data management be regulated and should it be treated any differently under the data protection regime? What role can A.I. play in regulating the use of personal data and as a cybersecurity tool? Is creating a form of propertisation of personal data and ‘data ownership’ useful? These are just some of the lingering questions that regulators and organisations are currently grappling with. Central to the issue is how A.I. can best serve and safeguard humanity’s interests. Warren Chik is Associate Professor of Law at SMU School of Law, and concurrently Deputy Director at SMU’s Centre for AI and Data Governance. In this podcast, he shares his recent research into Artificial Intelligence and Data Protection in Singapore, which takes a deeper look into consumers’ trust, organisational security and government regulation.

Logivations W2MO uses neural networks running on a GPU, which can "learn" certain patterns so that goods can be automatically recognized, counted and/or measured.

Washington, D.C. – From content creation to delivery to revenue, artificial intelligence (AI) is reshaping the broadcast, media and entertainment industry. NAB Show is the epicenter for exploring the latest advancements, impacts, opportunities and challenges AI is making throughout the production pipeline. Sessions will delve into tools and efficiencies, disinformation and deep fakes, content security and cyber security issues.

In this program Suhas Uliyar (Vice President of Mobile Strategy Product Management for Oracle) and Mark Johnson (Chief AI Scientist, Oracle Digital Assistant product team) discuss artificial intelligence, what’s new in the Oracle Digital Assistant platform, and why data is the new oil.

The use of DNA to self-assemble nanoscale objects has scaled up in both structure size and complexity, as well as the quantity produced.

Framework of artificial intelligence enhanced telecom operation and management (AITOM)

Requirements for energy saving management of 5G radio access network (RAN) systems with artificial intelligence (AI)

Requirements for work order processing in telecom management with artificial intelligence

Requirements for log analysis in telecom management with artificial intelligence

Intelligence levels of artificial intelligence enhanced telecom operation and management

Intelligence levels evaluation framework of artificial intelligence enhanced telecom operation and management

Artificial noise fields under laboratory conditions

Functional framework of artificial intelligence-based network service provisioning in future networks including IMT-2020

Issue No.1 - The impact of Artificial Intelligence on communication networks and services

XSTR-SEC-AI - Guidelines for security management of using artificial intelligence technology

U4SSC - Guiding principles for artificial intelligence in cities

YSTP.AIoT - Challenges of and guidelines to standardization on artificial intelligence of things

Overview of convergence of artificial intelligence and blockchain

Framework and requirements for civilian unmanned aerial vehicle flight control using artificial intelligence

Use cases and requirements for multimedia communication enabled vehicle systems using artificial intelligence

Requirements for smart class based on artificial intelligence

Technical specification for artificial intelligence cloud platform - Artificial intelligence model development

Requirements for artificial intelligence based machine vision system in smart logistics warehouse

Data centre infrastructure management system based on big data and artificial intelligence technology

QuantumPay (QTP) represents an ambitious technological initiative that blends blockchain technology and artificial intelligence (AI) to create a secure, efficient, and transparent digital transaction  StreetInsider.com

El presidente de OpenAI, creadora del popular software, cree que durante los próximos años veremos avances sorprendentes en este campo Leer

Entre los firmantes también están empresas como Qualcomm, IBM, las españolas Telefónica e Iberdrola, Vodafone, Orange, Nokia, Mastercard, Airbus o Booking Leer

La compañía añade nuevas funciones en Photoshop, Premiere y el resto de sus programas, incluido el primer generador de vídeo a partir de texto Leer

El desarrollo de nuevos proyectos y herramientas destinados a determinados colectivos contribuyen a recortar la brecha tecnológica Leer

Una nueva inteligencia artificial generativa crea resúmenes con lo que ha pasado hasta el momento y sin spoilers. Algunas de sus series han empezado a usarlos ya Leer

By Brian Phillips, freelance writer.

As data in healthcare continues to grow in complexity, the integration of artificial intelligence (AI) is becoming more prevalent. Across payers, care providers, and life sciences firms, various forms of AI are already in use.

How are AI/ML strategies evolving to meet tomorrow’s mission?

The post Federal Executive Forum Artificial Intelligence & Machine Learning Strategies in Government Progress and Best Practices 2024 first appeared on Federal News Network.

What strategies and technology are driving data strategy in government?

The post Federal Executive Forum Chief Data Officers Profiles in Excellence in Government 2024: Data Analytics & Artificial Intelligence Trends first appeared on Federal News Network.

How are agencies refining their AI strategy?

The post Federal Executive Forum Artificial Intelligence Strategies in Government Progress and Best Practices 2024 first appeared on Federal News Network.

In this episode of Market Chat!, a top artificial intelligence (AI) official at the General Services Administration discusses how the federal AI marketplace is maturing, and a panel of three senior marketing officials discuss how their companies are tuning their AI marketing messages to address evolving government needs and challenges.

The post Episode 18: Marketing artificial intelligence (AI) solutions to federal agencies first appeared on Federal News Network.

As agencies move beyond artificial intelligence and machine learning pilots, we find out what it takes to be successful. We talk with experts from the Army, CISA, DoD, GSA, NGA, NRO, NTIS, OSTP and from ABBYY, DataRobot, H2O, MarkLogic and Red Hat.

The post Delivering on artificial intelligence’s potential first appeared on Federal News Network.

Gencore AI provides the same capability for the safe construction of AI tools that their core platform has provided from its inception.

Generative Artifial Intelligence [sic] is one of the issues I've been working on with the National Writers Union and other allies.

Travel writers and others may be interested in the presentation I gave on Artificial Intelligence and Real Writers this issue to the Bay Area Travel Writers at our virtual meeting in September:

• Video (1 hour)
• Slides

Additional resources mentioned in my presentation:

• National Writers Union (NWU): Platform and Principles for Policy on Generative AI
• International Federation of Journalists (IFJ): Call to action on 'articifial intelligence'
• International Authors Forum (IAF): Principles for Artificial Intelligence and Authorship

Location: Engineering Library- TA347.A78M85 2016