ElevenLabs’ AI Voice Generator Can Now Fake Your Voice in 30 Languages — from gizmodo.com by Kyle Barr
ElevenLabs said its AI voice generator is out of beta, saying it would support video game and audiobook creators with cheap audio.

According to ElevenLabs, the new Multilingual v2 model promises it can produce “emotionally rich” audio in a total of 30 languages. The company offers two AI voice tools, one is a text-to-speech model and the other is the “VoiceLab” that lets paying users clone a voice by inputting fragments of theirs (or others) speech into the model to create a kind of voice cone. With the v2 model, users can get these generated voices to start speaking in Greek, Malay, or Turkish.

Since then, ElevenLabs claims its integrated new measures to ensure users can only clone their own voice. Users need to verify their speech with a text captcha prompt which is then compared to the original voice sample.

From DSC:
I don’t care what they say regarding safeguards/proof of identity/etc. This technology has been abused and will be abused in the future. We can count on it. The question now is, how do we deal with it?



Google, Amazon, Nvidia and other tech giants invest in AI startup Hugging Face, sending its valuation to $4.5 billion — from cnbc.com by Kif Leswing

But Hugging Face produces a platform where AI developers can share code, models, data sets, and use the company’s developer tools to get open-source artificial intelligence models running more easily. In particular, Hugging Face often hosts weights, or large files with lists of numbers, which are the heart of most modern AI models.

While Hugging Face has developed some models, like BLOOM, its primary product is its website platform, where users can upload models and their weights. It also develops a series of software tools called libraries that allow users to get models working quickly, to clean up large datasets, or to evaluate their performance. It also hosts some AI models in a web interface so end users can experiment with them.


The global semiconductor talent shortage — from www2.deloitte.com
How to solve semiconductor workforce challenges

Numerous skills are required to grow the semiconductor ecosystem over the next decade. Globally, we will need tens of thousands of skilled tradespeople to build new plants to increase and localize manufacturing capacity: electricians, pipefitters, welders; thousands more graduate electrical engineers to design chips and the tools that make the chips; more engineers of various kinds in the fabs themselves, but also operators and technicians. And if we grow the back end in Europe and the Americas, that equates to even more jobs.

Each of these job groups has distinct training and educational needs; however, the number of students in semiconductor-focused programs (for example, undergraduates in semiconductor design and fabrication) has dwindled. Skills are also evolving within these job groups, in part due to automation and increased digitization. Digital skills, such as cloud, AI, and analytics, are needed in design and manufacturing more than ever.

The chip industry has long partnered with universities and engineering schools. Going forward, they also need to work more with local tech schools, vocational schools, and community colleges; and other organizations, such as the National Science Foundation in the United States.


Our principles for partnering with the music industry on AI technology — from blog.youtube (Google) by Neal Mohan, CEO, YouTube
AI is here, and we will embrace it responsibly together with our music partners.

  • Principle #1: AI is here, and we will embrace it responsibly together with our music partners.
  • Principle #2: AI is ushering in a new age of creative expression, but it must include appropriate protections and unlock opportunities for music partners who decide to participate.
  • Principle #3: We’ve built an industry-leading trust and safety organization and content policies. We will scale those to meet the challenges of AI.

Developers are now using AI for text-to-music apps — from techcrunch.com by Ivan Mehta

Brett Bauman, the developer of PlayListAI (previously LinupSupply), launched a new app called Songburst on the App Store this week. The app doesn’t have a steep learning curve. You just have to type in a prompt like “Calming piano music to listen to while studying” or “Funky beats for a podcast intro” to let the app generate a music clip.

If you can’t think of a prompt the app has prompts in different categories, including video, lo-fi, podcast, gaming, meditation and sample.


A Generative AI Primer — from er.educause.edu by Brian Basgen
Understanding the current state of technology requires understanding its origins. This reading list provides sources relevant to the form of generative AI that led to natural language processing (NLP) models such as ChatGPT.


Three big questions about AI and the future of work and learning — from workshift.opencampusmedia.org by Alex Swartsel
AI is set to transform education and work today and well into the future. We need to start asking tough questions right now, writes Alex Swartsel of JFF.

  1. How will AI reshape jobs, and how can we prepare all workers and learners with the skills they’ll need?
  2. How can education and workforce leaders equitably adopt AI platforms to accelerate their impact?
  3. How might we catalyze sustainable policy, practice, and investments in solutions that drive economic opportunity?

“As AI reshapes both the economy and society, we must collectively call for better data, increased accountability, and more flexible support for workers,” Swartsel writes.


The Current State of AI for Educators (August, 2023) — from drphilippahardman.substack.com by Dr. Philippa Hardman
A podcast interview with the University of Toronto on where we’re at & where we’re going.

 

AI21 Labs concludes largest Turing Test experiment to date — from ai21.com
As part of an ongoing social and educational research project, AI21 Labs is thrilled to share the initial results of what has now become the largest Turing Test in history by scale.
.

People found it easier to identify a fellow human. When talking to humans, participants guessed right in 73% of the cases. When talking to bots, participants guessed right in just 60% of the cases.

 

082 | Generating Voices — from thebrainyacts.beehiiv.com

Excerpts:

Conventional Use Cases

  1. Audio Document Reading:
  2. Accessibility:
  3. Training Materials:
  4. Document Proofing:
  5. Transcriptions:
  6. Blog to Podcast:

Unconventional Use Cases

  1. Voice Cloning for Client Interaction:
  2. Multilingual Services:
  3. AI-based Legal Information Hotline:
  4. Real-Time Courtroom Assistance:
  5. Engaging Jurors:
  6. Storytelling for Case Understanding:
 



Introducing the ChatGPT app for iOS — from openai.com
The ChatGPT app syncs your conversations, supports voice input, and brings our latest model improvements to your fingertips.

Excerpt:

Since the release of ChatGPT, we’ve heard from users that they love using ChatGPT on the go. Today, we’re launching the ChatGPT app for iOS.

The ChatGPT app is free to use and syncs your history across devices. It also integrates Whisper, our open-source speech-recognition system, enabling voice input. ChatGPT Plus subscribers get exclusive access to GPT-4’s capabilities, early access to features and faster response times, all on iOS.


Spotlight: AI Myths and MisconceptionsYour Undivided Attention — from your-undivided-attention.simplecast.com

A few episodes back, we presented Tristan Harris and Aza Raskin’s talk The AI Dilemma. People inside the companies that are building generative artificial intelligence came to us with their concerns about the rapid pace of deployment and the problems that are emerging as a result. We felt called to lay out the catastrophic risks that AI poses to society and sound the alarm on the need to upgrade our institutions for a post-AI world.

The talk resonated – over 1.6 million people have viewed it on YouTube as of this episode’s release date. The positive reception gives us hope that leaders will be willing to come to the table for a difficult but necessary conversation about AI.

However, now that so many people have watched or listened to the talk, we’ve found that there are some AI myths getting in the way of making progress. On this episode of Your Undivided Attention, we debunk five of those misconceptions.



The State of Voice Technology in 2023 — from deepgram.com; with thanks to The Rundown for this resource
Explore the latest insights on speech AI applications and automatic speech recognition (ASR) across a dozen industries, as seen by 400 business leaders surveyed for this report by Opus Research.

Report -- State Of Voice Technology in 2023 -from Deepgram

Also relevant here, see:


Your guide to AI: May 2023 — from nathanbenaich.substack.com by Nathan Benaich and Othmane Sebbouh
Welcome to the latest issue of your guide to AI, an editorialized newsletter covering key developments in AI research (particularly for this issue!), industry, geopolitics and startups during April 2023. 


NYC Public Schools Drop Ban on AI Tool ChatGPT — from bloomberg.com


 

 

PricewaterhouseCoopers to Pour $1 Billion Into Generative AI — from wsj.com by Angus Loten
Multiyear investment in U.S. business includes accessing ChatGPT maker OpenAI’s language model, training staff in AI capabilities

Excerpt:

PricewaterhouseCoopers LLP plans to invest $1 billion in generative artificial intelligence technology in its U.S. operations over the next three years, working with Microsoft Corp. and ChatGPT-maker OpenAI to automate aspects of its tax, audit and consulting services.

The accounting and consulting giant said the multiyear investment, announced Wednesday, includes funding to recruit more AI workers and train existing staff in AI capabilities, while targeting AI software makers for potential acquisitions.

For PwC, the goal isn’t only to develop and embed generative AI into its own technology stack and client-services platforms, but also advising other companies on how best to use generative AI, while helping them build those tools, said Mohamed Kande, PwC’s vice chair and co-leader of U.S. consulting solutions and global advisory leader.

 




AutoGPT is the next big thing in AI— from therundown.ai by Rowan Cheung

Excerpt:

AutoGPT has been making waves on the internet recently, trending on both GitHub and Twitter. If you thought ChatGPT was crazy, AutoGPT is about to blow your mind.

AutoGPT creates AI “agents” that operate automatically on their own and complete tasks for you. In case you’ve missed our previous issues covering it, here’s a quick rundown:

    • It’s open-sourced [code]
    • It works by chaining together LLM “thoughts”
    • It has internet access, long-term and short-term memory, access to popular websites, and file storage

.



From DSC:
I want to highlight that paper from Stanford, as I’ve seen it cited several times recently:.

Generative Agents: Interactive Simulacra of Human Behavior -- a paper from Stanford from April 2023


From DSC:
And for a rather fun idea/application of these emerging technologies, see:

  • Quick Prompt: Kitchen Design — from linusekenstam.substack.com by Linus Ekenstam
    Midjourney Prompt. Create elegant kitchen photos using this starting prompt. Make it your own, experiment, add, remove and tinker to create new ideas.

…which made me wonder how we might use these techs in the development of new learning spaces (or in renovating current learning spaces).


From DSC:
On a much different — but still potential — note, also see:

A.I. could lead to a ‘nuclear-level catastrophe’ according to a third of researchers, a new Stanford report finds — from fortune.com by Tristan Bove

Excerpt:

Many experts in A.I. and computer science say the technology is likely a watershed moment for human society. But 36% don’t mean that as a positive, warning that decisions made by A.I. could lead to “nuclear-level catastrophe,” according to researchers surveyed in an annual report on the technology by Stanford University’s Institute for Human-Centered A.I., published earlier this month.


 


Also relevant/see:


Learning Designers will have to adapt or die. 10 ways to UPSKILL to AI…. — from donaldclarkplanb.blogspot.com by Donald Clark

Learning Designers need to upskill


From Ethan Mollick on LinkedIn:

Take a look at this simulated negotiation, with grading and feedback. Prompt: “I want to do deliberate practice about how to conduct negotiations. You will be my negotiation teacher. You will simulate a detailed scenario in which I have to engage in a negotiation. You will fill the role of one party, I will fill the role of the other. You will ask for my response to in each step of the scenario and wait until you receive it. After getting my response, you will give me details of what the other party does and says. You will grade my response and give me detailed feedback about what to do better using the science of negotiation. You will give me a harder scenario if I do well, and an easier one if I fail.”

Samples from Bing Creative mode and ChatGPT-4 (3.5, the free version, does not work as well)


I’m having a blast with ChatGPT – it’s testing ME! — from by Mark Mrohs
Using ChatGPT as an agent for asynchronous active learning

I have been experimenting with possible ways to incorporate interactions with ChatGPT into instruction. And I’m blown away. I want to show you some of what I’ve come up with.

 

Explore Breakthroughs in AI, Accelerated Computing, and Beyond at NVIDIA's GTC -- keynote was held on March 21 2023

Explore Breakthroughs in AI, Accelerated Computing, and Beyond at GTC — from nvidia.com
The Conference for the Era of AI and the Metaverse

 


Addendums on 3/22/23:

Generative AI for Enterprises — from nvidia.com
Custom-built for a new era of innovation and automation.

Excerpt:

Impacting virtually every industry, generative AI unlocks a new frontier of opportunities—for knowledge and creative workers—to solve today’s most important challenges. NVIDIA is powering generative AI through an impressive suite of cloud services, pre-trained foundation models, as well as cutting-edge frameworks, optimized inference engines, and APIs to bring intelligence to your enterprise applications.

NVIDIA AI Foundations is a set of cloud services that advance enterprise-level generative AI and enable customization across use cases in areas such as text (NVIDIA NeMo™), visual content (NVIDIA Picasso), and biology (NVIDIA BioNeMo™). Unleash the full potential with NeMo, Picasso, and BioNeMo cloud services, powered by NVIDIA DGX™ Cloud—the AI supercomputer.

 

5 Ideas To Incorporate AI In Your eLearning Course — from elearningindustry.com by Christopher Pappas

Summary: 

Artificial Intelligence is now taking the world of learning by storm. Here are 5 ways you can successfully incorporate AI in online learning.

Let’s say you’re training sales reps on handling different customer personalities. You can use this technology to diversify your branching scenarios so that trainees can also speak and not only type. This way, not only will the training become more realistic, but you’ll also be able to assess and work on additional elements, such as tone of voice, volume, speech tempo, etc.

 


Speaking of AI-related items, also see:

OpenAI debuts Whisper API for speech-to-text transcription and translation — from techcrunch.com by Kyle Wiggers

Excerpt:

To coincide with the rollout of the ChatGPT API, OpenAI today launched the Whisper API, a hosted version of the open source Whisper speech-to-text model that the company released in September.

Priced at $0.006 per minute, Whisper is an automatic speech recognition system that OpenAI claims enables “robust” transcription in multiple languages as well as translation from those languages into English. It takes files in a variety of formats, including M4A, MP3, MP4, MPEG, MPGA, WAV and WEBM.

Introducing ChatGPT and Whisper APIs — from openai.com
Developers can now integrate ChatGPT and Whisper models into their apps and products through our API.

Excerpt:

ChatGPT and Whisper models are now available on our API, giving developers access to cutting-edge language (not just chat!) and speech-to-text capabilities.



Everything you wanted to know about AI – but were afraid to ask — from theguardian.com by Dan Milmo and Alex Hern
From chatbots to deepfakes, here is the lowdown on the current state of artificial intelligence

Excerpt:

Barely a day goes by without some new story about AI, or artificial intelligence. The excitement about it is palpable – the possibilities, some say, are endless. Fears about it are spreading fast, too.

There can be much assumed knowledge and understanding about AI, which can be bewildering for people who have not followed every twist and turn of the debate.

 So, the Guardian’s technology editors, Dan Milmo and Alex Hern, are going back to basics – answering the questions that millions of readers may have been too afraid to ask.


Nvidia CEO: “We’re going to accelerate AI by another million times” — from
In a recent earnings call, the boss of Nvidia Corporation, Jensen Huang, outlined his company’s achievements over the last 10 years and predicted what might be possible in the next decade.

Excerpt:

Fast forward to today, and CEO Jensen Huang is optimistic that the recent momentum in AI can be sustained into at least the next decade. During the company’s latest earnings call, he explained that Nvidia’s GPUs had boosted AI processing by a factor of one million in the last 10 years.

“Moore’s Law, in its best days, would have delivered 100x in a decade. By coming up with new processors, new systems, new interconnects, new frameworks and algorithms and working with data scientists, AI researchers on new models – across that entire span – we’ve made large language model processing a million times faster,” Huang said.

From DSC:
NVIDA is the inventor of the Graphics Processing Unit (GPU), which creates interactive graphics on laptops, workstations, mobile devices, notebooks, PCs, and more. They are a dominant supplier of artificial intelligence hardware and software.


 


9 ways ChatGPT will help CIOs — from enterprisersproject.com by Katie Sanders
What are the potential benefits of this popular tool? Experts share how it can help CIOs be more efficient and bring competitive differentiation to their organizations.

Excerpt:

Don’t assume this new technology will replace your job. As Mark Lambert, a senior consultant at netlogx, says, “CIOs shouldn’t view ChatGPT as a replacement for humans but as a new and exciting tool that their IT teams can utilize. From troubleshooting IT issues to creating content for the company’s knowledge base, artificial intelligence can help teams operate more efficiently and effectively.”



Would you let ChatGPT control your smart home? — from theverge.com by

While the promise of an inherently competent, eminently intuitive voice assistant — a flawless butler for your home — is very appealing, I fear the reality could be more Space Odyssey than Downton Abbey. But let’s see if I’m proven wrong.


How ChatGPT Is Being Used To Enhance VR Training — from vrscout.com by Kyle Melnick

Excerpt:

The company claims that its VR training program can be used to prepare users for a wide variety of challenging scenarios, whether you’re a recent college graduate preparing for a difficult job interview or a manager simulating a particularly tough performance review. Users can customize their experiences depending on their role and receive real-time feedback based on their interactions with the AI.


From DSC:
Below are some example topics/articles involving healthcare and AI. 


Role of AI in Healthcare — from doctorsexplain.media
The role of Artificial Intelligence (AI) in healthcare is becoming increasingly important as technology advances. AI has the potential to revolutionize the healthcare industry, from diagnosis and treatment to patient care and management. AI can help healthcare providers make more accurate diagnoses, reduce costs, and improve patient outcomes.

60% of patients uncomfortable with AI in healthcare settings, survey finds — from healthcaredive.com by Hailey Mensik

Dive Brief:

  • About six in 10 U.S. adults said they would feel uncomfortable if their provider used artificial intelligence tools to diagnose them and recommend treatments in a care setting, according to a survey from the Pew Research Center.
  • Some 38% of respondents said using AI in healthcare settings would lead to better health outcomes while 33% said it would make them worse, and 27% said it wouldn’t make much of a difference, the survey found.
  • Ultimately, men, younger people and those with higher education levels were the most open to their providers using AI.

The Rise of the Superclinician – How Voice AI Can Improve the Employee Experience in Healthcare — from medcitynews.com by Tomer Garzberg
Voice AI is the new frontier in healthcare. With its constantly evolving landscape, the healthcare […]

Excerpt:

Voice AI can generate up to 30% higher clinician productivity, by automating these healthcare use cases

  • Updating records
  • Provider duress
  • Platform orchestration
  • Shift management
  • Client data handoff
  • Home healthcare
  • Maintenance
  • Equipment ordering
  • Meal preferences
  • Case data queries
  • Patient schedules
  • Symptom logging
  • Treatment room setup
  • Patient condition education
  • Patient support recommendations
  • Medication advice
  • Incident management
  • … and many more

ChatGPT is poised to upend medical information. For better and worse. — from usatoday.com by Karen Weintraub

Excerpt:

But – and it’s a big “but” – the information these digital assistants provide might be more inaccurate and misleading than basic internet searches.

“I see no potential for it in medicine,” said Emily Bender, a linguistics professor at the University of Washington. By their very design, these large-language technologies are inappropriate sources of medical information, she said.

Others argue that large language models could supplement, though not replace, primary care.

“A human in the loop is still very much needed,” said Katie Link, a machine learning engineer at Hugging Face, a company that develops collaborative machine learning tools.

Link, who specializes in health care and biomedicine, thinks chatbots will be useful in medicine someday, but it isn’t yet ready.

 

Introducing: ChatGPT Edu-Mega-Prompts — from drphilippahardman.substack.com by Dr. Philippa Hardman; with thanks to Ray Schroeder out on LinkedIn for this resource
How to combine the power of AI + learning science to improve your efficiency & effectiveness as an educator

From DSC:
Before relaying some excerpts, I want to say that I get the gist of what Dr. Hardman is saying re: quizzes. But I’m surprised to hear she had so many pedagogical concerns with quizzes. I, too, would like to see quizzes used as an instrument of learning and to practice recall — and not just for assessment. But I would give quizzes a higher thumbs up than what she did. I think she was also trying to say that quizzes don’t always identify misconceptions or inaccurate foundational information. 

Excerpts:

The Bad News: Most AI technologies that have been built specifically for educators in the last few years and months imitate and threaten to spread the use of broken instructional practices (i.e. content + quiz).

The Good News: Armed with prompts which are carefully crafted to ask the right thing in the right way, educators can use AI like GPT3 to improve the effectiveness of their instructional practices.

As is always the case, ChatGPT is your assistant. If you’re not happy with the result, you can edit and refine it using your expertise, either alone or through further conversation with ChatGPT.

For example, once the first response is generated, you can ask ChatGPT to make the activity more or less complex, to change the scenario and/or suggest more or different resources – the options are endless.

Philippa recommended checking out Rob Lennon’s streams of content. Here’s an example from his Twitter account:


Also relevant/see:

3 trends that may unlock AI's potential for Learning and Development in 2023

3 Trends That May Unlock AI’s Potential for L&D in 2023 — from learningguild.com by Juan Naranjo

Excerpts:

AI-assisted design and development work
This is the trend most likely to have a dramatic evolution this year.

Solutions like large language models, speech generators, content generators, image generators, translation tools, transcription tools, and video generators, among many others, will transform the way IDs create the learning experiences our organizations use. Two examples are:

1. IDs will be doing more curation and less creation:

  • Many IDs will start pulling raw material from content generators (built using natural language processing platforms like Open AI’s GPT-3, Microsoft’s LUIS, IBM’s Watson, Google’s BERT, etc.) to obtain ideas and drafts that they can then clean up and add to the assets they are assembling. As technology advances, the output from these platforms will be more suitable to become final drafts, and the curation and clean-up tasks will be faster and easier.
  • Then, the designer can leverage a solution like DALL-E 2 (or a product developed based on it) to obtain visuals that can (or not) be modified with programs like Illustrator or Photoshop (see image below for Dall-E’s “Cubist interpretation of AI and brain science.”

2. IDs will spend less, and in some cases no time at all, creating learning pathways

AI engines contained in LXPs and other platforms will select the right courses for employees and guide these learners from their current level of knowledge and skill to their goal state with substantially less human intervention.

 


The Creator of ChatGPT Thinks AI Should Be Regulated — from time.com by John Simons

Excerpts:

Somehow, Mira Murati can forthrightly discuss the dangers of AI while making you feel like it’s all going to be OK.

A growing number of leaders in the field are warning of the dangers of AI. Do you have any misgivings about the technology?

This is a unique moment in time where we do have agency in how it shapes society. And it goes both ways: the technology shapes us and we shape it. There are a lot of hard problems to figure out. How do you get the model to do the thing that you want it to do, and how you make sure it’s aligned with human intention and ultimately in service of humanity? There are also a ton of questions around societal impact, and there are a lot of ethical and philosophical questions that we need to consider. And it’s important that we bring in different voices, like philosophers, social scientists, artists, and people from the humanities.


Whispers of A.I.’s Modular Future — from newyorker.com by James Somers; via Sam DeBrule

Excerpts:

Gerganov adapted it from a program called Whisper, released in September by OpenAI, the same organization behind ChatGPTand dall-e. Whisper transcribes speech in more than ninety languages. In some of them, the software is capable of superhuman performance—that is, it can actually parse what somebody’s saying better than a human can.

Until recently, world-beating A.I.s like Whisper were the exclusive province of the big tech firms that developed them.

Ever since I’ve had tape to type up—lectures to transcribe, interviews to write down—I’ve dreamed of a program that would do it for me. The transcription process took so long, requiring so many small rewindings, that my hands and back would cramp. As a journalist, knowing what awaited me probably warped my reporting: instead of meeting someone in person with a tape recorder, it often seemed easier just to talk on the phone, typing up the good parts in the moment.

From DSC:
Journalism majors — and even seasoned journalists — should keep an eye on this type of application, as it will save them a significant amount of time and/or money.

Microsoft Teams Premium: Cut costs and add AI-powered productivity — from microsoft.com by Nicole Herskowitz

Excerpt:

Built on the familiar, all-in-one collaborative experience of Microsoft Teams, Teams Premium brings the latest technologies, including Large Language Models powered by OpenAI’s GPT-3.5, to make meetings more intelligent, personalized, and protected—whether it’s one-on-one, large meetings, virtual appointments, or webinars.


 

From DSC:
Check this confluence of emerging technologies out!

Also see:

How to spot AI-generated text — from technologyreview.com by Melissa Heikkilä
The internet is increasingly awash with text written by AI software. We need new tools to detect it.

Excerpt:

This sentence was written by an AI—or was it? OpenAI’s new chatbot, ChatGPT, presents us with a problem: How will we know whether what we read online is written by a human or a machine?

“If you have enough text, a really easy cue is the word ‘the’ occurs too many times,” says Daphne Ippolito, a senior research scientist at Google Brain, the company’s research unit for deep learning.

“A typo in the text is actually a really good indicator that it was human-written,” she adds.

7 Best Tech Developments of 2022 — from /thetechranch.comby

Excerpt:

As we near the end of 2022, it’s a great time to look back at some of the top technologies that have emerged this year. From AI and virtual reality to renewable energy and biotechnology, there have been a number of exciting developments that have the potential to shape the future in a big way. Here are some of the top technologies that have emerged in 2022:

 

How AI And 5G Could Lead The Next Phase Of The Industrial Revolution — from swisscognitive.ch

Some use cases of the convergence of AI and 5G are:

  • Metaverse: AI is a key technology that helps bring Metaverse to life and now with the addition of 5G, streaming experiences would become enjoyable and maintaining connectivity without any disruption of external factors like geographical locations would be eliminated.
  • Digital assistants in the form of chatbots and virtual avatars: Digital assistants today use AI to replicate the human brain and converse with people in human language by understanding intent. With 5G the speed at which the speech is converted to text will improve drastically.
  • Education: AI and 5G are helping bring education to students’ doorstep through virtual reality and is making this available, efficiently as in real-world classrooms. Solving queries is possible quickly without any restrictions. Betty in Archie Comics attending her classes virtually is a reality due to these technologies.
  • Healthcare: AI and 5G in healthcare are proliferating an accurate diagnosis of diseases, real-time monitoring, and quick treatment facilities. This has become possible with the right use of data- collection, transmission, and analysis.
  • Automotive: AI and 5G together is making vehicles smarter and reducing the risk of mishaps on roads by employing various data-powered safety and driving efficiency measures in vehicles.

AI Timelines: What Do Experts in Artificial Intelligence Expect for the Future? — from singularityhub.com by Dr. Max Roser

Excerpt:

What I do take away from these surveys however, is that the majority of AI experts take the prospect of very powerful AI technology seriously. It is not the case that AI researchers dismiss extremely powerful AI as mere fantasy.

The huge majority thinks that in the coming decades there is an even chance that we will see AI technology which will have a transformative impact on our world. While some have long timelines, many think it is possible that we have very little time before these technologies arrive. Across the three surveys more than half think that there is a 50% chance that a human-level AI would be developed before some point in the 2060s, a time well within the lifetime of today’s young people.

Future Of Health: Top Five Digital Health Innovations For 2023 — from forbes.com by Anita Gupta

Excerpts:

  • Connected Digital Care
  • AI In Healthcare
  • Real-World Patient Engagement In Healthcare
  • Increase Security For Digital And Health Data
  • Improving Telehealth Services

Looking ahead to 2023: AI, machine learning, RTLS and robotic process automation — from healthcareitnews.com by Bill Siwicki
These advanced technologies will do more to help provider organizations with workflow optimization, staff shortages and the patient experience in the year ahead, one expert predicts.

Three reasons why NLP will go mainstream in healthcare in 2023 — from healthcareitnews.com by Bill Siwicki
A natural language processing expert explains why he feels the technology’s kinks have been ironed out, its ROI has been proven and the timing is right for healthcare to take advantage of information-extraction tools.

13 tech predictions for 2023 — from enterprisersproject.com by Katie Sanders
What can you expect in the world of IT next year? Business and IT leaders share their thoughts

Analysts Predictions About AI In 2023 — from forbes.com by Gil Press

Excerpts:

  • Automated software development
  • Automated content and commerce
  • Enterprise governance, risk, sustainability and security
  • Consumer interactions and experiences

Top 5 Edge AI Trends to Watch in 2023 — from nvidia.com by Amanda Saunders

Excerpt:

Until now, AI has operated almost exclusively in the cloud. But increasingly diverse streams of data are being generated around the clock from sensors at the edge. These require real-time inference, which is leading more AI deployments to move to edge computing.

For airports, stores, hospitals and more, AI brings advanced efficiency, automation and even cost reduction, which is why edge AI adoption accelerated last year.

In 2023, expect to see a similarly challenging environment, which will drive the following edge AI trends.

Digital transformation: 5 trends to watch in 2023 — from enterprisersproject.com by Ritish Reddy
As enterprises continue to digitally transform, IT leaders must look toward the future. Expect to see these trends in 2023

 

From DSC:
I was watching a sermon the other day, and I’m always amazed when the pastor doesn’t need to read their notes (or hardly ever refers to them). And they can still do this in a much longer sermon too. Not me man.

It got me wondering about the idea of having a teleprompter on our future Augmented Reality (AR) glasses and/or on our Virtual Reality (VR) headsets.  Or perhaps such functionality will be provided on our mobile devices as well (i.e., our smartphones, tablets, laptops, other) via cloud-based applications.

One could see one’s presentation, sermon, main points for the meeting, what charges are being brought against the defendant, etc. and the system would know to scroll down as you said the words (via Natural Language Processing (NLP)).  If you went off script, the system would stop scrolling and you might need to scroll down manually or just begin where you left off.

For that matter, I suppose a faculty member could turn on and off a feed for an AI-based stream of content on where a topic is in the textbook. Or a CEO or University President could get prompted to refer to a particular section of the Strategic Plan. Hmmm…I don’t know…it might be too much cognitive load/overload…I’d have to try it out.

And/or perhaps this is a feature in our future videoconferencing applications.

But I just wanted to throw these ideas out there in case someone wanted to run with one or more of them.

Along these lines, see:

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Is a teleprompter a feature in our future Augmented Reality (AR) glasses?

Is a teleprompter a feature in our future Augmented Reality (AR) glasses?

 
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