10 startups riding the wave of AI innovation — from venturebeat.com by Kolawole Samuel Adebayo

Excerpt:

Here are 10 AI startups that are demonstrating upward growth trajectories in a fast-paced market and whose CEOs have articulated to VentureBeat over the past few months a broader context to their key differentiators, strategies and traction.

Below are vital details on these 10 AI startups that are worth watching across diverse industries, including retail, finance, cybersecurity, devops and more. Each company is ranked by its total funding to date, with quotes and metrics supplied during interviews with VentureBeat.

 

Radar trends to watch: April 2022 — from oreillky.com by Mike Loukides
Developments in Programming, Biology, Hardware, and More

5 Digital Transformation Themes for Higher Education — from
Explore key topics and event recordings from our latest deep dive into Digital Transformation in Higher Education.

The semiconductor decade: A trillion-dollar industry — from mckinsey.com by Ondrej Burkacky, Julia Dragon, and Nikolaus Lehmann

Drilling down into individual subsegments, about 70 percent of growth is predicted to be driven by just three industries: automotive, computation and data storage, and wireless.

Addendum later on 4/8/22:

 

Law firms are entering the metaverse, here’s why — from web3law.center by Meagan Cline

Excerpt:

Lawyers and law firms are increasingly exploring web3 and the metaverse. The technology is here and likely will only become a greater part of our society. Therefore, lawyers must at least consider how their operations may need to evolve to meet the growing demand for web3 literate legal services.

 

In this episode, David Aird talks;

  • Diversity and Inclusion
  • Social Mobility in Legal IT
  • Security Matters and Cyber-threats
  • Technology as the Answer
  • Artificial Intelligence and the Future

HUGE NEWS!

KETANJI BROWN JACKSON
TO SERVE ON THE U.S. SUPREME COURT

This Week’s Latest Additions to the LawNext Legal Technology Directory — from legaltechmonitor.com by Bob Ambrogi

This Week’s Latest Additions to the LawNext Legal Technology Directory -- by Bob Ambrogi

Photo Geotagging for Lawyers — from legaltechmonitor.com by Jim Calloway

How to automate your law office — from lawtechnologytoday.org

New Microsoft Study Reveals Work Changes: We Aren’t Going Back — from legaltechmonitor.com by Stephen Embry

https://www.lawtechnologytoday.org/2022/03/top-5-benefits-of-a-virtual-law-practice/

Reimagining Law: Embracing the Power of ‘No’ (Part 1) — from legaltechmonitor.com by 2civility

Reimagining Law: Embracing the Power of ‘No’ (Part 2) — from legaltechmonitor.com by 2civility

JUSTICE IN A CHANGING WORLD 2021 | ANNUAL REPORT — from iaals.du.edu

Another State Adopts Duty of Technology Competence for Lawyers, Bringing Total to 40 — from legaltechmonitor.com by Bob Ambrogi

IAALS Launches Allied Legal Professionals in an Effort to Increase Access to Quality Legal Services and Help Reduce Barriers to Representation — from iaals.du.edu by Kelsey Montague

Excerpt:

IAALS, the Institute for the Advancement of the American Legal System at the University of Denver, announced today that it is launching Allied Legal Professionals. With generous support from the Sturm Family Foundation, this project seeks to help standardize a new tier of legal professionals nationally—to increase the options for accessible and affordable legal help for the public.

Up and down the income scale, the legal needs of people in this country are going unmet. The inability to afford a lawyer, among other factors, has led to ballooning rates of self-representation in our justice system, with over 70 percent of civil and family cases including a party without a lawyer. People in these situations are not only facing life-altering challenges such as child custody hearings or landlord/tenant issues alone—they also face disproportionately bad outcomes in their cases.

Addendums on 4/8/22:

 

The Future of ID in an AI World — from learningsolutionsmag.com by Markus Bernhardt and Clark Quinn

Excerpt:

Recent advances in artificial intelligence (AI) are promising great things for learning. The potential here is impressive, but there also exist many questions and insecurities around deploying AI technology for learning: What can AI do? Where is it best utilized? What are the limits? And particularly: What does that leave for the instructional designer and other human roles in learning, such as coaching and training?

We want to suggest that these developments are for the benefit of everyone—from organizational development strategy devised in the C-suite, via content creation/curation by instructional designers, right through to the learners, as well as coaches and trainers who work with the learners.

 

 

Technology Trends for 2022 — from oreilly.com
What O’Reilly Learning Platform Usage Tells Us About Where the Industry Is Headed

Excerpt:

It’s been a year since our last report on the O’Reilly learning platform. Last year we cautioned against a “horse race” view of technology. That caution is worth remembering: focus on the horse race and the flashy news and you’ll miss the real stories. While new technologies may appear on the scene suddenly, the long, slow process of making things that work rarely attracts as much attention. We start with an explosion of fantastic achievements that seem like science fiction—imagine, GPT-3 can write stories!—but that burst of activity is followed by the process of putting that science fiction into production, of turning it into real products that work reliably, consistently, and fairly. AI is making that transition now; we can see it in our data. But what other transitions are in progress? What developments represent new ways of thinking, and what do those ways of thinking mean? What are the bigger changes shaping the future of software development and software architecture? This report is about those transitions.

O’Reilly Answers
We’re very excited about O’Reilly Answers, the newest product on the platform. Answers is an intelligent search that takes users directly to relevant content, whether that’s a paragraph from a book, a snippet of a video, or a block of code that answers a question. Rather than searching for an appropriate book or video and skimming through it, you can ask a specific question like “How do you flatten a list of lists in Python?” (a question I’ve asked several times). 


Also see:


 
 

Now we just need a “Likewise TV” for learning-related resources! [Christian]

Likewise TV Brings Curation to Streaming — from lifewire.com by Cesar Aroldo-Cadenas
And it’s available on iOS, Android, and some smart TVs

All your streaming services in one place. One search. One watchlist. Socially powered recommendations.

Entertainment startup Likewise has launched a new recommendations hub that pulls from all the different streaming platforms to give you personalized picks.

Likewise TV is a streaming hub powered by machine learning, people from the Likewise community, and other streaming services. The service aims to do away with mindlessly scrolling through a menu, looking for something to watch, or jumping from one app to another by providing a single location for recommendations.

Note that Likewise TV is purely an aggregator.


Also see:

Likewise TV -- All your streaming services in one place. One search. One watchlist. Socially powered recommendations.

 


From DSC:
Now we need this type of AI-based recommendation engine, aggregator, and service for learning-related resources!

I realize that we have a long ways to go here — as a friend/former colleague of mine just reminded me that these recommendation engines often miss the mark. I’m just hoping that a recommendation engine like this could ingest our cloud-based learner profiles and our current goals and then present some promising learning-related possibilities for us. Especially if the following graphic is or will be the case in the future:


Learning from the living class room


Also relevant/see:

From DSC:
Some interesting/noteworthy features:

  • “The 32- inch display has Wi-Fi capabilities to supports multiple streaming services, can stream smartphone content, and comes with a removable SlimFit Cam.”
  • The M8 has Wi-Fi connectivity for its native streaming apps so you won’t have to connect to a computer to watch something on Netflix. And its Far Field Voice mic can be used w/ the Always On feature to control devices like Amazon Alexa with your voice, even if the monitor is off.
  • “You can also connect devices to the monitor via the SmartThings Hub, which can be tracked with the official SmartThings app.”

I wonder how what we call the TV (or television) will continue to morph in the future.


Addendum on 3/31/22 from DSC:
Perhaps people will co-create their learning playlists…as is now possible with Spotify’s “Blend” feature:

Today’s Blend update allows you to share your personal Spotify playlists with your entire group chat—up to 10 users. You can manually invite these friends and family members to join you from in the app, then Spotify will create a playlist for you all to listen to using a mixture of everyone’s music preferences. Spotify will also create a special share card that everyone in the group can use to save and share the created playlist in the future.


 

Announcing the 2022 AI Index Report — from hai.stanford.edu by Stanford University

Excerpt/description:

Welcome to the Fifth Edition of the AI Index

The AI Index is an independent initiative at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), led by the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry. The annual report trackscollatesdistills, and visualizes data relating to artificial intelligence, enabling decision-makers to take meaningful action to advance AI responsibly and ethically with humans in mind.

The 2022 AI Index report measures and evaluates the rapid rate of AI advancement from research and development to technical performance and ethics, the economy and education, AI policy and governance, and more. The latest edition includes data from a broad set of academic, private, and non-profit organizations as well as more self-collected data and original analysis than any previous editions.

Also relevant/see:

  • Andrew Ng predicts the next 10 years in AI — from venturebeat.com by George Anadiotis
  • Nvidia’s latest AI wizardry turns 2D photos into 3D scenes in milliseconds — from thenextweb.com by Thomas Macaulay
    The Polaroid of the future?
    Nvidia events are renowned for mixing technical bravado with splashes of showmanship — and this year’s GTC conference was no exception. The company ended a week that introduced a new enterprise GPU and an Arm-based “superchip” with a trademark flashy demo. Some 75 years after the world’s first instant photo captured the 3D world in a 2D picture…

Nvidia believes Instant NeRF could generate virtual worlds, capture video conferences in 3D, and reconstruct scenes for 3D maps.

 

Some announcements from NVIDIA today:


Nvidia unveils server CPU to challenge Intel and AMD in the data center — from protocol.com by Max A. Cherney
Nvidia’s CEO Jensen Huang announced the company’s next-generation GPU architecture and a new CPU Tuesday.

The new Grace processor is designed for AI, high-performance computing and hyperscale data center applications.

Nvidia launched a mapping product for the autonomous vehicle industry — from techcrunch.com by Rebecca Bellan

Nvidia has launched a new mapping platform that will provide the autonomous vehicle industry with ground truth mapping coverage of over 300,000 miles of roadway in North America, Europe and Asia by 2024, founder and CEO Jensen Huang said at the company’s GTC event on Tuesday.

NVIDIA Launches AI Computing Platform for Medical Devices — from hitconsultant.net by Jasmine Pennic

Nvidia Unveils AI Chips and Software, Plus Tools for Creating Virtual Worlds — by Eric Savitz and Conor Smith

Excerpt:

Nvidia is doubling down on artificial-intelligence  technology that CEO Jensen Huang predicts will revolutionize every industry.

In the keynote speech for the annual Nvidia GTC conference—the acronym once stood for GPU Technology Conference, a reference to the company’s roots in graphics processing chips—Huang focused specifically on expanding the company’s portfolio of AI-focused chips and software applications.

Nvidia CEO lays out plans after Arm deal fell through, reveals new Hopper GPU — from marketwatch.com by Jeremy C. Owens
Roadmap seems little changed after chip maker ditched $40 billion acquisition of designer Arm, with new GPUs and first server CPU still on track as EV makers sign on for autonomous-driving tech


Addendum 3/26/22:

Nvidia’s Clara Holoscan MGX means to bring high-powered AI to the doctor’s office — from techcrunch.com


Addendum 3/28/22:

Nvidia’s $1 trillion ambitions draw cheers as software becomes a bigger piece of the pie — from marketwatch.com


 

Reflections on “Do We Really Want Academic Permanent Records to Live Forever on Blockchain?” [Bohnke]

From DSC:
Christin Bohnke raises a great and timely question out at edsurge.com in her article entitled:
Do We Really Want Academic Permanent Records to Live Forever on Blockchain?

Christin does a wonderful job of addressing the possibilities — but also the challenges — of using blockchain for educational/learning-related applications. She makes a great point that the time to look at this carefully is now:

Yet as much as unchangeable education records offer new chances, they also create new challenges. Setting personal and academic information in stone may actually counter the mission of education to help people evolve over time. The time to assess the benefits and drawbacks of blockchain technology is right now, before adoption in schools and universities is widespread.

As Christin mentions, blockchain technology can be used to store more than formal certification data. It could also store such informal certification data such as “research experience, individual projects and skills, mentoring or online learning.”

The keeping of extensive records via blockchain certainly raises numerous questions. Below are a few that come to my mind:

  • Will this type of record-keeping help or hurt in terms of career development and moving to a different job?
  • Will — or should — CMS/LMS vendors enable this type of feature/service in their products?
  • Should credentials from the following sources be considered relevant?
    • Microlearning-based streams of content
    • Data from open courseware/courses
    • Learning that we do via our Personal Learning Networks (PLNs) and social networks
    • Learning that we get from alternatives such as bootcamps, coding schools, etc.
  • Will the keeping of records impact the enjoyment of learning — or vice versa? Or will it depend upon the person?
  • Will there be more choice, more control — or less so?
  • To what (granular) level of competency-based education should we go? Or from project-based learning?
  • Could instructional designers access learners’ profiles to provide more personalized learning experiences?
  • …and I’m certain there are more questions than these.

All that said…

To me, the answers to these questions — and likely other questions as well — lie in:

  1. Giving a person a chance to learn, practice, and then demonstrate the required skills (regardless of the data the potential employer has access to)
    .
  2. Giving each user the right to own their own data — and to release it as they see fit. Each person should have the capability of managing their own information/data without having to have the skills of a software engineer or a database administrator. When something is written to a blockchain, there would be a field for who owns — and can administer — the data.

In the case of finding a good fit/job, a person could use a standardized interface to generate a URL that is sent out to a potential employer. That URL would be good for X days. The URL gives the potential employer the right to access whatever data has been made available to them. It could be full access, in which case the employer is able to run their own queries/searches on the data. Or the learner could restrict the potential employer’s reach to a more limited subset of data.

Visually, speaking:


Each learner can say who can access what data from their learner's profile


I still have a lot more thinking to do about this, but that’s where I’m at as of today. Have a good one all!


 

Google Invites Classroom Users to Join Beta for ‘Practice Sets,’ with Auto-Grading, Instant Student Feedback, and More — from thejournal.com by Kristal Kuykendall

Excerpt:

“With Practice Sets, educators can easily transform their own teaching content into interactive assignments and use the auto-grading tool to cut down on manual grading time,” Kiecza said in his blog post. “Practice Sets also helps teachers figure out which concepts need more instruction time and who could use extra support, giving them quick performance insights to shape future lesson plans.

In an accompanying blog post explaining the Practice Sets features, Google for Education Senior Director Shantanu Sinha said the adaptive learning technology at the root of Practice Sets uses more advanced artificial intelligence than anything seen before in ed tech.

 

2022 10 Breakthrough Technologies -- from the MIT Technology Review

2022 10 Breakthrough Technologies — from MIT Technology Review; with thanks to Mr. Paul Czarapata for posting this out on Twitter

About the list:

Our annual list of 10 Breakthrough Technologies highlights the technological advances that we think will have the biggest impact on the world in the years to come. Every year, our reporters and editors survey a wide range of topics, from medicine to energy to digital technologies, to select advances that will affect our lives in meaningful ways. Some have already started to change the way we live and work, while others are poised to do so soon. This is the 21st year we’ve published this list. We hope you enjoy this glimpse into the future.

Also relevant/see:

 

What is Legal Tech, and How Is It Changing the Legal Industry? — from startup.info

Excerpt:

Legal technology is a branch of technological innovation that targets and affects the legal sector specifically. The considerable pace of new invention in tech sectors – bolstered by government investment in UK-based innovation and growth – has highlighted some avenues of innovation that could change the face of the legal profession, streamlining judicial processes and helping firms during discovery.

However, in concert with the rapid pace of new technology that benefits legal practise, the technology’s legal implications are also being raised. With a technological landscape that has far outstripped the remit of conventional law, demand for technology lawyers has increased to enable businesses and lawmakers to navigate new tech possibilities.

Four Important Technology Trends for Law Firms in 2022 — from jdsupra.com

Excerpt:

It is easy to say (two years now into the pandemic) that COVID-19 changed the legal profession forever. After a massive shift in 2020 and 2021 to working and conducting court proceedings remotely, with the help of many remote technologies, many legal professionals may wonder what lies ahead from a technology standpoint. After such a dramatic shift, are there even more disruptions to embrace?

The answer is yes! The world turns, technology keeps evolving, and so too will the legal services industry. Below are predictions of technology trends that will continue to be important in 2022 and help shape the industry in the years ahead.

With RemoteDepo™ by U.S. Legal Support, everyone can participate in a remote deposition and interact as if they were in the same conference room. With an internet connection and webcam-equipped device, you can communicate in realtime, observe witness body language and seamlessly facilitate questioning.

Depositions. Virtually. Anywhere. Keep your discovery schedule on track with our secure video conference solution for remote depositions, arbitrations, hearings and other proceedings – RemoteDepo™.

How Legal AI Technology Adoption Leads to Real-World Results — from jdsupra.com

Excerpt:

Contracting is just one area where in-house lawyers and legal ops professionals are seeing real-world results by implementing AI. As innovation continues to disrupt the legal tech world, AI is being introduced into nearly every aspect of practice and business. But now, AI has evolved beyond a buzzword to provide meaningful – and impactful – results.

Ironclad’s New Connect Tool ‘Cuts Contracting Time By 40% — from artificiallawyer.com

Excerpt:

CLM Ironclad has launched a new tool called Connect, which creates a centralised view of the contracting process for all parties and, they claim, can reduce contract completion times by over 40% – which is a lot whether you are a busy inhouser, or a law firmer on the billable hour.

The new capability allows you to store all communications about a deal in one place, ‘even attachments and months-long email threads’ and allows you to keep everyone involved in negotiating a contract ‘in the loop’.

 

Math worksheets for the learning process — from intelligenthq.com

Excerpt:

If you want to master the subject of mathematics, constant practice of various topics is a must. To ensure that you have the proper grasp of all the topics of the subject, solving worksheets for math is one of the best techniques. Worksheets for math facilitate the stepwise mechanism which enhances the learning process and helps students identify their mistakes. Once they can recognize what their mistakes are, they can work on improving them. Worksheets for math also have visual problems that help in the visualization process of students and make their analyzing and strategic capability high. Take worksheets for math from Cuemath and excel in math.

Also see:

Master Math with Cuemath's live, online-based classes


Also relevant/see:

In New Math Proofs, Artificial Intelligence Plays to Win — from quantamagazine.org; with thanks to Alec Lazarescu on Twitter for this resource
A new computer program fashioned after artificial intelligence systems like AlphaGo has solved several open problems in combinatorics and graph theory.

 

Edtech Companies Tap AI For More Personalized Learning — from kidscreen.com by Zeenya Shah
AI is shaping the future of digital learning as parents—daunted by online schooling—turn to tech companies for help. Are they ready?

Excerpt:

A report from research institute The Learning Counsel found that US families spent 25% more on curriculum resources and networks in 2020 than they did in 2019, for a cumulative spend of US$35.8 billion.

It’s a growing market opportunity, and ed-tech companies using AI-assisted adaptive learning technology may be well-poised to make the most out of this heightened demand for personalized education.

 
© 2024 | Daniel Christian