Why vector databases are having a moment as the AI hype cycle peaks GenAI spurs demand for vector search startups, but database giants are also taking noteVector databases are all the rage, judging by the number of startups entering the space and the investors ponying up for a piece of the pie.
“Working with visual search and robotics at Amazon was when I really looked at vector search — I was thinking about new ways to do product discovery, and that very quickly converged on vector search,” Clark told TechCrunch.
“I think the same is likely to happen with vector databases,” Zaitsev told TechCrunch.
“Our pitch is, ‘we do advanced vector search in the best way possible.’ It is all about specialization.
At some point, users will face limitations if vector search is a critical component of your solution.”
A few months after its launch, how is Apple’s Vision Pro faring?
I am a long-term bull on augmented reality, virtual reality, and face-computers in general.
So it is to my partial chagrin that the hype around the Apple Vision Pro has faded more rapidly than I anticipated.
But I anticipated the Apple brand to keep the hardware in the news — and atop our collective minds — longer than it managed after its launch.
I find it archaic that my monitors are akin to digital chalkboards when they should be built into my glasses.
Welcome to TechCrunch Crypto, formerly known as Chain Reaction.
Hello and welcome back to the TechCrunch Crypto newsletter.
This week in web3Crunching numbersThis week the crypto market prices were lower, but still relatively strong compared to previous months.
Bitcoin was down 6.5% on the week at $67,300 and 32% higher on the month, at the time of publication.
This kickstarted her career in web3, data and AI solutions.
It did so, however, with the ambitious goal of creating a walking bipedal robot in a year’s time.
Humanoid robots are having a moment.
The goal of the deal is to “develop next generation AI models for humanoid robots,” according to Figure.
“We are excited to collaborate with Figure and work towards accelerating AI breakthroughs,” says Microsoft Corporate VP, Jon Tinter.
Mechatronics are easier to judge in a short video than AI and autonomy, and from that perspective, the Figure 01 robot appears quite dexterous.
Listen here or wherever you get your podcasts.
Hello, and welcome to Equity, a podcast about the business of startups, where we unpack the numbers and nuance behind the headlines.
This is our Friday show, in which TechCrunch reporters sit down to talk through the key news of the week.
This time around, Mary Ann Azevedo and Alex Wilhelm chewed through funding rounds and the trends prevalent today in Startup Land.
(And in case you missed it, we recently interviewed Cowboy Ventures’ Aileen Lee about how unicorns have evolved over the past decade.)
With so much in the rearview mirror, it’s hard to predict what will happen with AI startups in 2024.
But some people, like investors, make their living from shrewd bets, so TechCrunch+ recently asked more than 40 investors what they think AI investing could look like in 2024.
Most investors told TechCrunch+ that they expect the current swell of funding to continue but were optimistic that the industry is moving past its initial hype cycle and toward more durable businesses.
Lisa Wu, a partner at Norwest Venture Partners, expects opportunities in verticalized AI to be particularly attractive this year.
“For example, law firms that effectively leverage AI will be able to offer their services at lower cost, higher efficiency and higher odds of favorable outcomes in litigation.”
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