Intelligence levels of artificial intelligence enhanced telecom operation and management

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Framework for evaluating intelligence levels of future networks including IMT-2020

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

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

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Apple has rolled out Apple Intelligence for compatible devices with macOS 15.1, iOS 18.1, and iPadOS 18.1, introducing new enhancements in Siri, Photos, Mail, and more. Adam Engst shares an overview and early impressions of the Apple Intelligence features.

The initial Apple Intelligence features aren’t exactly world-changing, but if we’re to believe Apple’s ads, they’re primarily shortcuts for those uninterested in investing time and effort.

Maxar Intelligence divests sensor technology business to ARKA Group  SpaceNews

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

When Apple’s version of AI, branded as Apple Intelligence, rolls out in October to folks with the company’s latest hardware, the response is likely to be a mix of delight and disappointment. The AI capabilities on their way to Apple’s walled-garden will bring helpful new features, such as textual summaries in email, Messages and Safari; image creation; and a more context-aware version of Siri. But as Apple Intelligence’s beta testing has already made clear, the power of these features falls well below what is on offer from major players like OpenAI, Google, and Meta. Apple AI won’t come close to…

This story continues at The Next Web

Or just read more coverage about: Apple

La firma española detecta amenazas híbridas, con ramificaciones tanto digitales como sobre el terreno. Desinformar es una de las modalidades de ataque más frecuentes. Leer

Las herramientas de inteligencia artificial de Apple se lanzan oficialmente esta semana, pero en España y más en idioma español, las opciones son todavía muy limitadas 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.

Covid-19 is straining supply chains around the world, most notably those of pharmaceutical companies. Scarcity of raw materials upstream and overheated demand downstream cause disruptions. Control over their supply chain is a major challenge for all pharma companies today.

New global research from SOTI, in a report titled Mobility in Motion: When Technology Transformation Meets Operational Intelligence, has highlighted the challenges UK organisations face in optimising their device management.

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.

Embracing a distinction between OSINT and Pro-SINT ensures intelligence collections by those paid for the work are professional, ethical and legally defensible.

The post Open-source intelligence professionalism: Distinguishing ‘OSINT’ from ‘Pro-SINT’ first appeared on Federal News Network.

Two years have passed since Congress directed the creation of an intelligence center to lead efforts to stop election interference by foreign adversaries

The post US delays intelligence center targeting foreign influence 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 the Intelligence Community blends open source and public data with its own intel, balancing the use and development of AI tools to analyze data, and strategies for sharing data appropriately across classified teams, creates new challenges. Download this executive briefing to read more!

The post Enabling intelligence work across classification levels 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.

The late, staggered public release of Apple's AI suite begins.

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: Electronic Resource- 

Location: Electronic Resource- 

Location: Engineering Library- TA347.A78M85 2016

2012 Defense Intelligence Agency document: West will facilitate rise of Islamic State “in order to isolate the Syrian regime”

John Hopfield dreamed up the modern neural network while at Caltech. Geoffrey Hinton built on it, creating an AI firm that Google bought for $44 million.

Apple customers starting on Wednesday can go to Apple stores for sessions on Apple Intelligence — the company's suite of AI tools.

In this month's edition of Apple Crunch, Thomas Domville, John Gassman, and Marty Sobo discuss recent Apple news and other topics of interest.

Topics featured in this episode include:

• AppleVis Returns and AppleVis Unleashed Gets a new Name
• Thoughts on the Apple's "It's Glowtime" Product Line
• At Last the iOS 18 is Out
• Where's the Apple Intelligence?
• Apple working on a cheaper Apple Vision headset, a second gen Apple Vision Pro, and smart glasses

Links:

• AppleVis Partners with Be My Eyes; Website to Reopen September 9, 2024
• iPhone 16, Apple Watch Series 10, and New AirPods: Recap of Apple's "It's Glowtime" September Event
• iPhone 16 Pro Demand Has Been Lower Than Expected, Analyst Says
• Bricked iPhone 16 Can Be Restored Wirelessly Using Another iPhone
• iPhone SE 4 due in early 2025 with OLED and Apple Intelligence
• iOS 18 and iPadOS 18 Accessibility: A Summary of VoiceOver and braille issues and improvements
• Apple Intelligence Features Expected to Roll Out in This Order Between iOS 18.1 and iOS 18.4New Siri with Apple Intelligence to launch in 2025, says Bloomberg’s Mark Gurman
• Some Apple Intelligence features could cost up to $20/month, claim analysts
• Paid Apple Intelligence features are likely at least 3 years away
• Apple working on a cheaper Apple Vision headset, a second gen Apple Vision Pro, and smart glasses
• Ray-Ban Smart Glasses Updated With Real-Time AI Video, Reminders, and QR Code Scanning
• Looks like Apple is developing a full-fledged advertising tier for Apple TV+

If you have feedback or questions for the Apple Crunch team, you can reach them at AppleCrunch@AppleVis.com

Transcript

Disclaimer: This transcript was generated by Aiko, an AI-powered transcription app. It is not edited or formatted, and it may not accurately capture the speakers’ names, voices, or content.

Hello and welcome to Apple Crunch for September 2024.…

The University of Michigan is forging ahead and working towards being a leader in generative artificial intelligence with its U-M-GPT program. As it does, there are environmental concerns to be addressed. The initiative is part of Michigan’s broader effort to integrate AI into its academic and administrative infrastructure, enhancing learning, teaching, and research. But, AI consumes a great deal of energy. WEMU's David Fair spoke with the Vice President for Information Technology and Chief Information Officer at U-M, Dr. Ravi Pendse, about how U-M is dealing with the environmental ramifications of AI.

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Aidan Toner-Rodgers† MIT November 6, 2024 This paper studies the impact of artificial intelligence on innovation, exploiting the randomized introduction of a new materials discovery technology to 1,018 scientists in the R&D lab of a large U.S. firm. AI-assisted researchers discover 44% more materials, resulting in a 39% increase in patent filings and a 17% rise in downstream product in- novation. These compounds possess more novel chemical structures and lead to more radical inventions. However, the technology has strikingly disparate effects across the productivity distribution: while the bottom third of scientists see little benefit, the output of top researchers nearly doubles. Investigating the mechanisms behind these results, I show that AI automates 57% of “idea-generation” tasks, reallocating researchers to the new task of evaluating model-produced candidate materials. Top scientists leverage their domain knowledge to prioritize promising AI suggestions, while others waste significant resources testing false positives. Together, these findings demonstrate the potential of AI-augmented research and highlight the complemen- tarity between algorithms and expertise in the innovative process. Survey evidence reveals that these gains come at a cost, however, as 82% of scientists report reduced satisfaction with their work due to decreased creativity and skill underutilization.