The AI Roundup – Top 15 Blogs of 2020 — from blog.re-work.co

Excerpt:

Below we have rounded up our 15 most-read blogs of the year, including must-read papers suggestions from AI experts, advice for those starting out in AI, Netflix predictive algorithms and more. See a summary of each blog and link below!

 

From DSC:
An interesting, more positive use of AI here:

Deepdub uses AI to dub movies in the voice of famous actors — from protocol.com by Janko Roettgers
Fresh out of stealth, the startup is using artificial intelligence to automate the localization process for global streaming.

Excerpt:

Tel Aviv-based startup Deepdub wants to help streaming services accelerate this kind of international rollout by using artificial intelligence for their localization needs. Deepdub, which came out of stealth on Wednesday, has built technology that can translate a voice track to a different language, all while staying true to the voice of the talent. This makes it possible to have someone like Morgan Freeman narrate a movie in French, Italian or Russian without losing what makes Freeman’s voice special and recognizable.

From DSC:
A much more negative use of AI here:

A much more negative use of AI here...

 

 

Can algorithms save college admissions?

Can Algorithms Save College Admissions? — from chronicle.com by Brian Rosenberg
We’ve tried a system based on competition long enough. It isn’t working.

Excerpt (emphasis DSC):

Here is an alternative and much more radical proposal: What if we replaced the current and longstanding admissions process among private colleges with a match process, similar to what has for years been used to match medical-school graduates with residency and fellowship positions? What if, in other words, we used data and algorithms instead of travel, merit aid, and free food to drive college admissions?

From DSC:
Love the “What if…” thinking here and the spirit of innovation behind it. I wonder if AI and cloud-based learner profiles might play into something like this in the future…?

Also see:

7 Ways To Make College Admissions More Equitable — from stradaeducation.org by Patty Reinert Mason and Jeff Selingo
Is it time to reconsider early-decision applications, legacy preferences, and reliance on feeder high schools?
Selingo offers these practical steps colleges and universities can take to make admissions more equitable:

  • Eliminate early-decision applications.
  • Be upfront about what you’re looking for in this year’s incoming class so students and parents have the information they need.
  • Be transparent about what it costs to study at your school.
  • Look beyond traditional “feeder high schools” for recruitment, creating opportunity for a more diverse group of students.
  • Reduce preferences given to athletes and legacies.
  • Rethink application requirements to put more emphasis on high school coursework and grades and less on extracurriculars, recommendations, and essays.
  • Expand the size of freshman classes.

Also see:

 

Teaching with Amazon Alexa — from Sylvia Martinez

Excerpt:

Alexa is a voice-activated, cloud-based virtual assistant, similar to Siri on Apple devices, or Google Assistant. Alexa is an umbrella name for the cloud-based functionality that responds to verbal commands. Alexa uses artificial intelligence to answer questions or control smart devices, and has a range of “skills” — small programs that you can add to increase Alexa’s capabilities.

Many teachers are experimenting with using smart devices like Alexa in the classroom. Like most other Amazon features and products, Alexa is primarily designed for home use, anticipating that users will be household members. So in thinking about Alexa in a classroom, keeping this in mind will help determine the best educational uses.

Alexa is most often accessed in three ways…

 

23 Greatest Engineering Highlights from 2020 — from interestingengineering.com by Christopher McFadden
These are some of the greatest engineering highlights from 2020.

23 Greatest Engineering Highlights from 2020

 

Designed to Deceive: Do These People Look Real to You? — from nytimes.com by Kashmir Hill and Jeremy White
These people may look familiar, like ones you’ve seen on Facebook or Twitter. Or people whose product reviews you’ve read on Amazon, or dating profiles you’ve seen on Tinder. They look stunningly real at first glance. But they do not exist. They were born from the mind of a computer. And the technology that makes them is improving at a startling pace.

Is this humility or hubris? Do we place too little value in human intelligence — or do we overrate it, assuming we are so smart that we can create things smarter still?

 

Report: There’s More to Come for AI in Ed — from thejournal.com by Dian Schaffhauser

Excerpts:

The group came up with dozens of “opportunities” for AI in education, from extending what teachers can do to better understanding human learning:

  • Using virtual instructors to free up “personalization time” for classroom teachers;
  • Offloading the “cognitive load” of teaching;
  • Providing “job aids” for teachers;
  • Identifying the links between courses, credentials, degrees and skills;
  • “Revolutionizing” testing and assessment;
  • Creating new kinds of “systems of support”;
  • Helping with development of “teaching expertise”; and
  • Better understanding human learning through “modeling and building interfaces” in AI.

But contributors also offered just as many barriers to success:

  • Differences in the way teachers teach would require “different job aids”;
  • Teachers would fear losing their jobs;
  • Data privacy concerns;
  • Bias worries;
  • Dealing with unrealistic expectations and fears about AI pushed in “popular culture”;
  • Lack of diversity in gender, ethnicity and culture in AI projects; and
  • Smart use of data would require more teacher training.
 

Social strikes back — from a16z.com
Social Strikes Back is a series exploring the next generation of social networks and how they’re shaping the future of consumer tech. See more at a16z.com/social-strikes-back.

Excerpt:

Until recently, it was commonly accepted that “social” was done. The market had been fully saturated, the thinking went, dominated by the holy trinity of Facebook, Twitter, and Instagram. Turns out, rumors of social’s demise have been greatly exaggerated. Not only are we seeing the rise of innovative new social networks—from the earshare of Clubhouse to the seamless interactivity of cloud gaming—but having a social component has become a powerful acquisition and retention tool for every consumer product, across education, shopping, fitness, food, entertainment, and more. In this series, we reveal what new social looks like, the forces that are driving it, and how to build it.

Meet Me in the Metaverse — from a16z.com by Jonathan Lai

Excerpts:

There are many competing visions for how we’ll build the Metaverse: a persistent, infinitely-scaling virtual space with its own economy and identity system.

New social modalities will emerge in the Metaverse. Advances in cloud streaming and AI will enable new forms of engagement with friends—for example, the ability to pop into a persistent virtual world and discover new people and experiences together, entirely unplanned.

Live, Social, and Shoppable: The Future of Video — from a16z.com by Connie Chan

Excerpt:

Now, we’re about to enter a whole new era of video-first products that extend far beyond entertainment and gaming. If phase one of video was a laid-back experience, video 2.0 will be far more interactive and participatory, with users engaging with the platform, giving direct feedback on the content, and fundamentally shaping the experience in real time.

Also see:

Edtech’s Answer to Remote Learning Burnout — from a16z.com by Anne Lee Skates and Connie Chan

Excerpt:

While previous generations of edtech largely focused on in-school content distribution, more recently founders have turned their attention to after-school and out-of-school education. There’s a lot left to build. We believe post-COVID online education will differ from the past in key ways.

The old and new models of education -- post-COVID online education will differ from the past in key ways.

 

What might this new concept/setup look like in smart classrooms of the future? [Christian]

A new category of devices from Cisco -- the Webex Desk Hub

From DSC:
In yesterday’s webexone presentations, Cisco mentioned a new device category, calling it the Webex Desk Hub. It gets at the idea of walking into a facility and grabbing any desk, and making that desk you own — at least for that day and time. Cisco is banking on the idea that sometimes people will be working remotely, and sometimes they will be “going into the office.” But the facilities will likely be fewer and smaller — so one might not have their own office.

In that case, you can plug in your smart device, and things are set up the way they would be if you did have that space as a permanent office.

Applying this concept to the smart classrooms of the future, what might that concept look like for classrooms? A faculty member or a teacher could walk into any room that supports such a setup, put in their personal smart device, and the room conditions are instantly implemented:

  • The LMS comes on
  • The correct class — based on which day it is and then on the particular time of day it is — is launched
  • The lights are dimmed to 50%
  • The electric window treatments darken the room
  • The projector comes on and/or the displays turn on
  • Etc.
 

Survey: Employee Success is Becoming Increasingly Dependent on Automation Skills — from uipath.com by Toni Iafrate; with thanks to Ryan Craig for this resource

Excerpt:

Since the start of the pandemic in particular, digital adoption has accelerated to solve for evolving market conditions, new customer needs and changed employee circumstances. In fact, a new McKinsey study found that 85% of C-suite executives reported a significant acceleration of digitization and automation during the pandemic in an effort to stay agile and maintain continuity amid business disruptions.

 

 

From DSC:
The good…

London A.I. lab claims breakthrough that could accelerate drug discovery — from nytimes.com by
Researchers at DeepMind say they have solved “the protein folding problem,” a task that has bedeviled scientists for more than 50 years

This long-sought breakthrough could accelerate the ability to understand diseases, develop new medicines and unlock mysteries of the human body.

…and the not so good…

 

The Journal 2020 Award Winners

THE Journal 2020 New Product Award Winners

For THE Journal’s first-ever New Product Award program, judges selected winners in 30 categories spanning all aspects of technology innovations in K–12 education, from the classroom to the server room and beyond. We are proud to honor these winners for their outstanding contributions to the institution of education, in particular at this time of upheaval in the way education is being delivered to the nation’s 50 million students.

 

The State of AI in 2020 -- from McKinsey and Company

Where AI is being used most in 2020

From DSC:
I saw this item out at:

  • AI is delivering a growing share of earnings, says McKinsey — from which-50.com by Andrew Birmingham
    Excerpt:
    Some companies are generating an increasing share of the profits in a way that is directly attributable to AI, and the best performers are likely to increase their investments setting up a world of algorithmic leaders and laggards, according to a new paper from McKinsey & Company. Called The State of AI in 2020, the report notes that we could start to see a widening divide between AI leaders and the majority of companies still struggling to capitalise on the technology.

Also see:

 

AI, 5G, and IoT will be the most important tech of 2021, IT leaders say — from itpro.co.uk by Nicholas Fearn
A new IEEE survey looks at the trends and challenges of IT leaders as 2021 fast approaches

Excerpt:

Artificial intelligence, machine learning, 5G, and the Internet of Things are predicted to have the most impact of all technologies in 2021, according to a new report.

Just under a third (32%) of CIOs and CTOs said that the technologies will be fundamental to their role next year, as businesses seek to recover from economic disruption and adapt to new working normals.

 

The Observatory is an interactive platform that allows you to do a preliminary analysis of 600+ legal technologies in the market today

The Observatory — from orrick.com with thanks to Gabe Teninbaum for mentioning this resource in his Lawtomatic Newsletter (Issue #112, 11/18/20)

The Observatory is an interactive platform that allows you to do a preliminary analysis of 600+ legal technologies in the market today (including some developed by Orrick):

  • Gain insight into features of legal tools
  • View leading categories of legal tech, from artificial intelligence to workflow automation
  • Understand tech use-cases for litigation, transactional and general solutions
  • Identify legal tech companies with diverse leadership

Excerpt from Gabe’s newsletter:

  • The Observatory: the tech-savvy biglaw firm, Orrick, has a new interactive platform offering data on 600+ legal technologies currently on the market.  A user can click on the type of tool they’d like to learn more about (e.g. document automation or contract management), click on various filters, then get a summary of what it does.  It also includes a narrative box for what makes the tool unique.  It’s easy to use, free, and also gives a nice preview for clients on the type of value the firm might offer them beyond run-of-the-mill representation.

Explore The Observatory from Orrick dot com to help you identify potential fits for your legaltech related needs

 
© 2024 | Daniel Christian