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Last Week in AIby@jrodthoughts
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Last Week in AI

by Jesus RodriguezJuly 21st, 2019
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Every week, Invector Labs publishes a newsletter to track the most recent developments in AI research and technology. The biggest challenge is that we still know very little about the human brain. The ultimate goal of Neuralink is to create a human-machine interface that achieves symbiosis between human and machine intelligence. IBM published a paper proposing a new method for few-shot learning; a new technique that allow machine learning models to learn more with less. MIT and Harvard Press join forces to launch a new publication focus on data science research.

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Every week, my team at Invector Labs publishes a newsletter to track the most recent developments in AI research and technology. You can find this week’s issue below. You can sign up for it using this link. Please do so, our guys worked really hard on this.

From the Editor: Can Elon Musk Help Us Understand the Brain

The human brain remains the biggest inspiration for artificial intelligence(AI) research and technologies. Many of the modern techniques in areas such as deep learning draw inspiration from neuroscience. Furthermore, there are entire fields within AI dedicated to recreate elements of human cognition such as memory, common sense and, of course, consciousness. The biggest challenge is that we still know very little about the human brain.

Neuralink is the newest, and not- so well-known, venture of tech provocateur Elon Musk. The ultimate goal of Neuralink is to create a human-machine interface that achieves symbiosis between human and machine intelligence. To get there, Neuralink first needs to have a deeper understanding of the human brain. This week unveiled some of their initial work and, not surprisingly, they are truly fascinating. Technologies like Neuralink can play an incredible roles in the next decade of AI.

Now let’s take a look at the core developments in AI research and technology this week:

AI Research

AI researchers from IBM published a paper proposing a new method for few-shot learning; a new technique that allow machine learning models to learn more with less.

>Read more in this blog post from IBM Research

Google published a new paper describing a speech recognition technique to improve communications for people with speech impairments.

>Read more in this blog post from Google Research

Alphabet’s subsidiary DeepMind published a paper about a model that can generate realistic videos from YouTube clips.

>Read more in this coverage from VentureBeat

Cool AI Tech Releases

Uber releases Plato Research Dialogue System, a platform for building high quality conversational agents.

>Read more in this blog post from the Uber engineering team

IBM unveiled a fascinating AI-based solutions for helping students to learn a second language.

>Read more in this blog post from IBM Research

MIT and Harvard Press join forces to launch a new publication focus on data science research.

>Read more in this blog post from MIT News

AI in the Real World

Elon Musk’s company Neuralink announced its plans to implant electrode deep into the brain to monitor neuron activity.

>Read more in this coverage from The Atlantic

AI legend Patrick Winston who served as director of MIT’s AI Laboratory passed away this week. Professor Winston pioneered different areas of research such as the recreation of human-like intelligence.

>Read more in this coverage from MIT News

Fitness startup Pivot raised $17 million to deliver AI-powered home workouts.

>Read more in this coverage from VentureBeat