Google Research AI blog

FEBRUARY 21, 2023

Posted by John Platt, Distinguished Scientist, Google Research (This is Part 7 in our series of posts covering different topical areas of research at Google. Our teams are exploring topics across the physical and natural sciences. The technical advances necessary for this work will have applications even beyond neuroscience.

ML 105

ML Machine Learning Deep Learning Algorithm 105

Machine Learning (Theory)

APRIL 23, 2021

It also had some link to topics I studied previously (in supervised learning & in operations search). It was also useful for decision-making, which was complementary to state tracking & prediction, which was the topic studied by many other members of my lab at the time.

Machine Learning 52

Machine Learning Robotics Algorithm AI Researcher 52

Dlabs.ai

JULY 25, 2023

Pymetrics : Uses neuroscience games and AI to match candidates’ cognitive and emotional traits to job requirements. We hope they will help you easily arrange your understanding and navigate this complex topic. It uses machine learning to evaluate facial expressions, word choice, and other aspects of interviews.

Automation 98

Automation Algorithm Machine Learning Explainability 98

Mlearning.ai

JANUARY 26, 2023

Introduction Natural language processing (NLP) sentiment analysis is a powerful tool for understanding people’s opinions and feelings toward specific topics. It uses text-based data to analyze how people feel about a particular topic and can help businesses to understand the broad sentiment of their customer base.

Natural Language Processing 52

Natural Language Processing NLP Deep Learning Computer Vision 52

ODSC - Open Data Science

MAY 1, 2023

He completed a degree in neuroscience and started his career in technology at Oracle, maintaining an idea that these two paths would converge. He’s also an acclaimed speaker on the topics of decision intelligence frameworks, change management, and bringing analytics solutions to life.

Data Science 52

Data Science Machine Learning Big Data Data Scientist 52

Dlabs.ai

MARCH 17, 2021

And her research expertise spans AI, machine learning , deep learning , computer vision , and cognitive neuroscience. Like other influencers, he frequently speaks about many AI topics. Yann is a computer scientist working primarily in machine learning, computer vision, mobile robotics, and computational neuroscience.

Deep Learning 92

Deep Learning Artificial Intelligence Artificial Intelligence Neural Network 92

Dlabs.ai

AUGUST 20, 2020

It will help you better understand the two topics. The book has gained popularity primarily due to the chapter “A visual proof that neural nets can compute any function”, which shows a new, unconventional approach to this topic. Then, show you how to build a deep neural network from scratch.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

PyImageSearch

JANUARY 2, 2023

Neurology Besides neuroimaging, AI has excellent applications in neuroscience to support large-scale hypothesis generation and provide insights into the brain’s interactions, structure, and mechanisms ( Figure 8 ). My mission is to change education and how complex Artificial Intelligence topics are taught.

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

Cold Takes

JANUARY 13, 2023

After laying these catastrophic possibilities, I’ll briefly note a few key ways we could do better, mostly as a reminder (these topics were covered in previous posts). More A: I agree that’s unfortunate, but digital neuroscience has always been a speculative, experimental department. B: It has?

AI 59

AI AI Robotics AI Developer 59

Marek Rei

MARCH 14, 2022

Project planning In the beginning of your project, start by reading the papers related to your topic. When choosing topics to work on, I recommend choosing something that is close to your heart and something that makes a difference and drives the field forward. Do that in the beginning of the project, as opposed to the end.

NLP 40

NLP ML Neural Network Deep Learning 40

Sebastian Ruder

MAY 22, 2020

While a PhD encourages you to delve deep into a specific topic, you can add value by making connections between different topics or entirely different fields. 2014 ), neuroscience ( Wang et al., The papers that draw such connections can often be insightful. 2016 ), physics ( Cohen et al., 2019 ), and many others.

Natural Language Processing 52

Natural Language Processing NLP ML Deep Learning 52

Cold Takes

FEBRUARY 10, 2023

” Key possibilities for navigating this challenge: Digital neuroscience : perhaps we’ll be able to read (and/or even rewrite) the “digital brains” of AI systems, so that we can know (and change) what they’re “aiming” to do directly - rather than having to infer it from their behavior.

AI 40

AI AI Neural Network Deep Learning 40