From voice synthesis to fertility tracking, here are some actually helpful AI products at CES

8 Min Read

“AI” was in every single place this 12 months at CES; you couldn’t swing a badge with out hitting some firm claiming generative AI was going to revolutionize your sleep, enamel or enterprise. However a number of purposes of machine studying stood out as genuinely useful or shocking — listed here are a number of examples of AI that may really do some good.

The entire concept that AI won’t be a complete pink flag occurred to me after I chatted with Whispp at a press occasion. This small group is engaged on voicing the unvoiced, which means individuals who have bother talking usually resulting from a situation or sickness.

The identify refers to circumstances the place an individual is ready to type phrases, however whose vocal cords have been taken out of the image by, for instance, throat most cancers or an harm. These of us can whisper simply fantastic, however not converse — usually having to depend on a decidedly last-century digital voice field. So Whispp’s first huge characteristic is to synthesize their voices and switch these whispers into full speech.

The artificial voice is created by comparable means as different platforms — a number of previous recordings of somebody and you may customise a voice mannequin to sound sufficiently like them. Whispp’s important problem, it appears, was to construct a speech recognition mannequin that labored properly with whispers and different affected speech. Curiously, this additionally works for individuals who stutter, since for no matter motive whispering usually reduces stuttering by an enormous quantity. You possibly can learn extra about Whispp in our publish about it right here.

See also  Hive3 launches to connect brands with leading AI creatives

Across the nook from Whispp I bumped into the extraordinarily cheerful girls of Louise, a French startup targeted on fertility monitoring and recommendation for each women and men seeking to enhance their possibilities of conceiving.

Louise is basically a B2B affair, working with hospitals and fertility clinics to research affected person information. It makes use of machine studying as a sign detector, sorting by 1000’s of information factors from checks and surveys and searching for biomarkers that might give perception into the advanced technique of bettering fertility. AI is sweet at discovering refined correlations or patterns in massive collections of information, and fertility is unquestionably an space that might profit from extra of that.

Picture Credit: Louise

The corporate was really at CES to advertise its new app, Olly, which is its first B2C providing: a start-to-finish “fertility journey” app for each ladies and men (whose half within the course of is commonly missed), from choice to go for it all over success. It tracks appointments, presents documentation on medicines and methods, and so forth. And the icon is a cute little chick. Olly is deliberate for international launch on February 14.

The rabbit r1 received a good quantity of hype at CES, as a candy-colored pocket AI assistant ought to. However whereas it’s anybody’s guess whether or not the corporate will survive lengthy sufficient to breed (the r2, one presumes), this little doodad’s capabilities would possibly really be extra useful to folks with imaginative and prescient impairments than sighted of us who simply don’t wish to pull out their telephones.

See also  How Do AI Voice Generators Work? A Detailed Guide

Alexa, Siri, and different voice assistants have been transformative for numerous folks for whom navigating a smartphone or desktop laptop is a ache because of the basically graphical person interface. With the ability to simply converse and get primary information just like the climate, the information and so forth is a large enabler.

The issue is that these so-called assistants couldn’t do a lot exterior some strictly outlined duties and APIs. So that you would possibly be capable of discover out when a flight is leaving, however you may’t rebook it. You possibly can e book a automotive however not customise the experience for accessibility. Lookup trip locations however not lease a cabin on the seaside there. Stuff like that. The r1 is constructed to have the ability to not simply do primary assistant queries by a ChatGPT-like voice interface, but additionally function any regular cellphone or internet app.


The demo mannequin on rabbit’s web site. Picture Credit: rabbit

If the system and repair match the corporate’s claims, the r1 may very well be a helpful helper certainly for anybody who has bother interacting with a standard laptop. If you happen to can speak, you will get issues accomplished — and when you use Whispp, you don’t even want to speak!

Elder care is one other space the place a few of the frequent criticisms of generative AI fall brief. I don’t suppose anybody ought to should depend on a pc for companionship, however that doesn’t imply that the computer systems we already should work together with couldn’t be somewhat nicer about it. Regardless that I’ve made it clear (at nice size) that I don’t suppose they need to faux to be folks, they’ll nonetheless be pleasant and useful.

See also  FTC hosts challenge to stop harms of voice cloning AI

ElliQ makes units (“robots”) for locations like assistive care amenities, the place having a gadget within the room that may remind sufferers of issues or ask them how they’re is a win-win addition. The newest system makes use of a big language mannequin to supply extra pure dialog, and like ChatGPT and others, it will possibly discuss absolutely anything. Many older of us are starved for dialog or battle to know new developments in tech or the information, so this may very well be a genuinely great way for them to remain engaged. Plus it provides a component of care and security, in a position to hear the particular person in the event that they name for assist, or relay requests to caregivers, or simply verify in.

That’s not all the great purposes of AI at CES, however it’s sufficient of a pattern to indicate you that whereas it could be the subsequent huge hyped factor, that doesn’t imply there are not any good methods to use machine studying in on a regular basis life.

Read more about CES 2024 on TechCrunch

Source link

Share This Article
Leave a comment

Leave a Reply

Your email address will not be published. Required fields are marked *