Welcome to this week’s review of the latest news in Artificial Intelligence and Machine Learning!
Today’s review is the very first to be hosted directly on the new TDMB website. After months of endeavour, we are now live and kicking. You’ll notice there are still a few snags, but that will all be cleared up soon enough. A big shout out to our development team, and to our Head of Design, Denika, for taking charge of this fantastic project. We are all very proud of our new site.
To mark the occasion, I thought it’d be a good idea to offer you a special bonus Sunday Review with lots of extra, juicy AI news for you!
One day this week, I realised I had about 100 unread email newsletters in my inbox so I took an evening to go through all the ones I hadn’t got round to opening and saved the very best featured articles into my Evernote ready to share with you in this review. So see below the top 5 shared this week for 10 cracking recent AI articles for you to enjoy over your Sunday morning coffee.
OK, so let’s go ahead and start with a look at what Buzzsumo has identified as the most socially shared articles this week.
The top shared article this week is also my choice for Pick of the Week.
Ah, the post-work world. Sounds like a dream come true, doesn’t it? Well, I suppose that depends on your work. I mean, in a future with full automation, there’d be no need to slave over a menial job in order to make ends meet, but I believe there is no reason to think of this as the end of purpose.
I imagine I would still be obsessed with technology and want to do what I do as a tech writer. But I’d also probably be freer to write creative fiction (which was, after all, my dream when I took my MA in Creative Writing all those years ago!), to paint and illustrate (another passion of mine), and – most importantly – to spend more time raising my daughter.
Anyway, this article is – in my view – utterly brilliant, and I am very tempted to paste whole blocks of text from it here as quotes. But I reckon it’s a better idea for you to just go ahead and read it. It’s a corker.
MedTech is huge. Various aspects of AI, VR, AR, BioTech, and Big Data, are coming together in a range of ways to transform Healthcare in stunning ways.
The machine that features in this article from Futurism is just one of these many game changers. It promises to speed up procedures (thus reducing the amount of time a patient needs to be under anaesthesia), to bring more accuracy to the operating table, and to save costs.
Microsoft has been doing AI for a long time. Despite its moderate coverage in comparison with competitors such as Google, Facebook, and Apple, it is doing some great stuff that is being fed innocuously into a multitude of its software.
I am not one of the 100 million Office 365 subscribers. I use Google across the board for my writing in Docs, my (seemingly endless) spreadsheets in Sheets, and for my presentations for speaking events in Slides, etc etc.
So I was unaware of the enviable amount of AI features now available in Microsoft Office software, such as the stylistic suggestions now offered in Word, which are like a writer’s dream come true.
That said, I’m not about to pay money for a subscription to Microsoft Office when Google is central to the entire functioning of how I work. I just wish Google would step up to the plate in the same way. It doesn’t even integrate with Grammarly at the moment – so come on Google – step up!
Wow… okaaay. So, the founder of Social Capital, Chamath Palihapitiya, this week hit out at AI giant, IBM Watson, calling the mega AI platform ‘a joke’. Sheesh.
He also wrongly scoffed at the name of the platform: “The companies that are advancing machine learning and AI don’t brand it with some nominally specious name that’s named after a Sherlock Holmes character.” As this article rightly points out, IBM Watson is actually named after IBM’s first CEO, Thomas J Watson.
I don’t know about you, but I’m in a full-body cringe over Palihapitiya’s statements. What do you reckon?
This article is really interesting to me at the moment, as I am currently working on a detailed whitepaper about Natural Language Processing in the Medical sector.
The summaries that the algorithm, developed by researchers at Salesforce, has created from full-length articles have been pretty good. It’s still a long way from matching human ability to summarise long form text because that requires genuine intelligence that AI is not able to provide yet.
Nonetheless, this is extremely promising news, that could have outstanding practical applications in how we approach patient records – which could have enormous cost-saving implications for our crippled NHS, for example. Of course, such applications could stretch far and wide to many industries.
I’m extremely excited by this news.
Right, so that’s the top five most socially shared. Now onto my list of recommended reading from the last month or so.
Should we attempt to make machines conform to human morality?
Like other species, we are the products of millions of years of adaptation. Now we’re taking matters into our own hands.
A true AI might ruin the world—but that assumes it’s possible at all.
Inside the mysterious Building 8, the social network is working on far-out communication technologies.
Humans simply cannot comprehend the model the computer has built for itself. Yet it works.
According to our estimates, one more robot per thousand workers reduces the employment to population ratio by about 0.18-0.34 percentage points and wages by 0.25-0.5 percent.
The emperor of physics defends his controversial theory of mind.
According to research around the future of Artificial Intelligence, the human race could vanish within our lifetime.
After losing her faith, a former evangelical Christian felt adrift in the world. She then found solace in a radical technological philosophy – but its promises of immortality and spiritual transcendence soon seemed unsettlingly familiar.
AI expert Joseph Qualls thinks it will change the way kids learn. But it also raises some big issues.
As a final note, I want to mention a follow-up from an article I featured in last week’s review.
An AI developed by US startup, Unanimous AI, showed promise last year when it predicted the winners at the Kentucky Derby. However, this year, the algorithm spectacularly failed. It’ll be a while before the betting game is up, so it seems.
Phew! So that’s all I’ve got for you this week. That should keep you busy!
Catch you again next Sunday.
Live long and prosper,