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MIT Technology Review @techreview
What are the fundamental challenges ahead? Many of them are organizational, Taveres says. Figuring things out when you're not a big company is harder. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
Why are humans the model for AI? Humans can understand humans, and humans have achieved things that other animals haven't, Tavares says. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
Our next researcher is @ZennaTavares, an associate research scientist at Columbia University and cofounder of Basis. He's interested in giving machines the ability to reason about cause and effect. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
Agrim says there's a connection between generative design and his work. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
@agrimgupta92 .@strwbilly covered how Agrim's work could unlock AI for robots late last year. #EmTechDigital https://t.co/UZrnFiYHIU — PolitiTweet.org
MIT Technology Review @techreview
First up: @agrimgupta92 from Stanford is interested in how the form of a machine changes its ability to learn, shifting the focus away from learning algorithms operating by themselves and onto learning combined with a kind of bodily evolution. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
For our last chapter of #EmTechDigital sessions, we'll hear from AI researchers and then to close, David Ferrucci from @elementalcog will pull back the curtain on AI. — PolitiTweet.org
MIT Technology Review @techreview
RT @mettler_rebecca: #EmTechDigital @Esri discuss Making AI Work for All @ClintonGJohnson and Lauren Bennett https://t.co/j2Fk3MdhRA — PolitiTweet.org
MIT Technology Review @techreview
[SPONSORED] A hybrid cloud allows organizations to get the best of both the traditional on-premises world and the public cloud. Learn more: https://t.co/qUHvLtkuCz. (With @HitachiVantara) https://t.co/RMgNvLJ4zk — PolitiTweet.org
MIT Technology Review @techreview
RT @bramsonboudreau: It’s pure pleasure being back on the #EmTechDigital stage, at @medialab. But the best part of it all? Seeing my amazin… — PolitiTweet.org
MIT Technology Review @techreview
[SPONSORED] Digital twins augment simulations with real-time data and allow manufacturers to optimize efficiency and recognize improvements for follow-on new designs. Learn more. (With @siemenssoftware) https://t.co/q6TNF5JZcv — PolitiTweet.org
MIT Technology Review @techreview
It's been two years since covid-19 upturned our lives, and we still don’t know the virus' origin. Why is it so hard to find out the truth of where it came from, and why does the search matter? Subscribe to our new podcast Curious Coincidence to find out. https://t.co/QjO7E0t7uv — PolitiTweet.org
MIT Technology Review @techreview
His bionic hands combine sensitivity with affordability. That's why we named Aadeel Akhtar to our list of 35 Innovators Under 35. https://t.co/fIoBDIHMZp — PolitiTweet.org
MIT Technology Review @techreview
How does the system deal with conflicting feedback? Over time, the model will optimize for a set of average intentions, Murati says. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
Human feedback is crucial to these kinds of models. How do you scale that up? Machine learning techniques can be used to make human feedback more scalable, she says. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
.@strwbilly has covered how OpenAI has trained its flagship language model to follow instructions, making it spit out less unwanted text—but there's still a way to go. #EmTechDigital https://t.co/VxOF7DKCk0 — PolitiTweet.org
MIT Technology Review @techreview
When GPT-3 can predict the next word in text, it can then do many other tasks, Murati says. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
With all of these amazingly powerful AI systems emerging, how do make sure that they evolve and grow in a way that we intend? Our next speaker is @miramurati, the senior vice president for research, product, and partnerships at OpenAI is here to discuss just that. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
Is there increasing benefit from scaling up? Scaling up will be part of the solution, but it's not the only solution, @OriolVinyalsML says. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
One lesson according to Vinyals: high-quality data is key. Compute is key. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
One lesson according to Vinyals: high-quality data is key. Compute is key, #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
Now, we are going to take a look at what is needed for AI to perform human-like problem solving. This is something our next speaker, Orio Vinyals, a principal scientist at @DeepMind, has been working on for a while. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
The more parameters you have, the higher degree of freedom you have, Alvi says. They allow more flexibility. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
The trend lines for large scale AI show no signs of stopping, Alvi says. There will be significant opportunity for new and disruptive experiences. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
@Microsoft @alialvi The future is all about interactive AI and unified models, Alvi says. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
The Download: Chatbots could one day replace search engines. Here’s why that’s a terrible idea. Plus: Removing extra CO2 from the atmosphere via the ocean is proving more difficult than first hoped. https://t.co/5icalVHecY — PolitiTweet.org
MIT Technology Review @techreview
Large language models are the technology behind some of the largest AI models ever built: @microsoft’s 500-billion parameter Turing-Megatron NLG. @alialvi is walking us through transforming traditional algorithms. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
But that of course does not mean that there’s nothing happening in the algorithm space. Some of the biggest recent advances in AI are entirely down to brand new algorithms. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
First, we'll dig into what's next for deep learning. Deep learning algorithms have become so good in the last few years. So much so that for many applications, algorithms and models can be used off the shelf. AI is becoming a cloud-based service. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
Finally, we’ll finish up the day with a session with some researchers, who are taking time away from their labs, to share some of their new ways of developing and advancing the way we think about AI. #EmTechDigital — PolitiTweet.org
