cybernetics
Here’s why a gold rush of NLP startups is about to arrive
Remember Natural Language Processing? NLP arose several years ago but it was only in 2018 that AI researchers proved it was possible to train a neural network once on a…
Shield AI raises $165M at a $2.3B valuation to fuel development of its military autonomous flying systems
Technology built with defense in mind is getting some significant and serious traction at the moment, spurred by world events, advances in technology and a growing appetite from end users…
AI platform Continual raises $14.5M Series A and comes out of beta
Continual, a startup that focuses on simplifying operational AI on top of a modern data stack, today announced that it has raised a $14.5 million Series A funding round led…
Baseten nabs $20M to make it easier to build machine learning-based applications
As the tech world inches a closer to the idea of artificial general intelligence, we’re seeing another interesting theme emerging in the ongoing democratization of AI: a wave of startups…
Microsoft today announced an update to its translation services that, thanks to new machine learning techniques, promises significantly improved translations between a large number of language pairs. Based on its…
TruEra, a startup that offers an AI quality management solution to optimize, explain and monitor machine learning models, today announced that it has raised a $25 million Series B round…
Tel Aviv-based Run:ai, a startup that makes it easier for developers and operations teams to manage and optimize their AI infrastructure, today announced that it has raised a $75 million…
Annotell raises $24M for tech that tests autonomous vehicle perception systems to improve how they work
As the automotive industry inches slowly ahead on the road to self-driving vehicles, we’re seeing the emergence of startups aiming to fill in some of the technical gaps in autonomous…
CausaLens gets $45M for no-code technology that introduces cause and effect into AI decision making
One of the most popular applications of artificial intelligence to date has been to use it to predict things, using algorithms trained with historical data to determine a future outcome.…
Signal AI, a ‘decision augmentation’ startup, raises $50M for a platform that extracts insights from the internet and other public content
Signal AI, an artificial intelligence startup that trawls the vast sea of internet and other publicly available data to provide organizations with sentiment insights and other information to make better…
Robust Intelligence raises $30M Series B to stress test AI models
Robust Intelligence, an AI startup that helps businesses stress test their AI models and prevent them from failing, today announced that it has raised a $30 million Series B funding…
Don’t miss what’s happening tomorrow at the iMerit ML DataOps Summit 2021
Tomorrow’s the day, folks! Join more than 1,600 attendees at the iMerit ML DataOps Summit 2021, a free, day-long series of masterclasses focused on AI, ML and the data solutions…
Investors: Up your ante at the iMerit ML DataOps Summit 2021
The “oil bidness,” as they say in Texas, is so 20th century. Data, artificial intelligence and machine learning are the power triad fueling the future. If you’re an investor placing…
Don’t miss the product demos at iMerit ML DataOps Summit 2021
The iMerit ML DataOps Summit 2021 kicks off on December 2 — that’s just eight days away. Are you ready to improve your DataOps chops? More than 2,500 senior leaders…
Berlin-based Jina.ai, an open source startup that uses neural search to help its users find information in their unstructured data (including videos and images), today announced that it has raised…
DevOps fueled the enterprise shift to the cloud, and companies are in a similar phase of trying out and accepting machine learning (ML) in their production environments.
A look at some of the AI and ML expert speakers at the iMerit ML DataOps Summit
Calling all data devotees, machine-learning mavens and arbiters of AI. Clear your calendar to make room for the iMerit ML DataOps Summit on December 2, 2021. Join and engage with…
WhyLabs raises $10M Series A for its AI observability platform
WhyLabs, a machine learning startup that was spun out of the Allen Institute last year, helps data teams monitor the health of their AI models and the data pipelines that…
Salesforce’s Kathy Baxter and Amazon’s Nashlie Sephus talk keeping AI ethical at enterprise scale
AI and big data are an important part of most enterprise-scale companies now, but that very scale can make it difficult to employ them safely and ethically. Kathy Baxter at…
Register today for the iMerit ML DataOps Summit
You know the expression “garbage in, garbage out,” right? There’s absolutely no place in artificial intelligence or machine learning for bad data, and that’s just one reason TechCrunch is thrilled…
Deci snaps up $21M for tech to build better AI models based on available data and compute power
Building usable models to run AI algorithms requires not just adequate data to train systems, but also the right hardware subsequently to run them. But because the theoretical and practical…
Battery Ventures leads Arize AI’s $19M round for ML observability
Companies use data to build models that they use to automate decisions, but without visibility, it’s difficult to determine if the models are accountable, fair and responsible.
A handful of foundational AI models are emerging that rely upon a magnitude of training data that makes them inherently powerful, but it’s not without risk of harmful biases.
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AI luminary Kai-Fu Lee and sci-fi author Chen Qiufan predict the future in ‘AI 2041’
What will an AI-infused world look like in 20 years? Sinovation founder and AI thought leader Kai-Fu Lee and breakout sci-fi author Chen Qiufan (aka Stanley Chen) make an educated guess in “AI 2041.”
How do investors ensure that the startups in which they invest responsibly apply AI?
We have an opportunity to apply AI and machine learning to propel the future and do good. That begins with diverse teams that reflect the full diversity and rich perspectives…
Enterprise AI 2.0: The acceleration of B2B AI innovation has begun
Two decades after businesses started deploying AI solutions, one can argue they’ve made little progress in achieving significant gains in efficiency relative to the hype that drove expectations.
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Embodied AI, superintelligence and the master algorithm
In the next year and a half, we’re going to see increasing adoption of technologies, which will trigger a broader industry shift, much as Tesla triggered the transition to EVs.
UK’s Mindtech raises $3.25M from In-Q-Tel, among others, to train CCTV cameras on synthetic humans
Imagine a world where no one’s privacy is breached, no faces are scanned into a gargantuan database and no privacy laws are broken. This is a world that is fast…
Looking back, narrowly focusing on a branch of applied science undergoing a breakthrough paradigm shift that hadn’t yet reached the business world changed everything.
