New Year

21 Posts

Matt Zeiler
New Year

Matt Zeiler: Advance AI for Good

There’s a reason why artificial intelligence is sometimes referred to as “software 2.0”: It represents the most significant technological advance in decades. Like any groundbreaking invention, it raises concerns about the future, and much of the media focus is on the threats it brings.
2 min read
Yoav Shoham
New Year

Yoav Shoham: Language Models That Reason

I believe that natural language processing in 2022 will re-embrace symbolic reasoning, harmonizing it with the statistical operation of modern neural networks. Let me explain what I mean by this.
2 min read
Chip Huyen
New Year

Chip Huyen: AI That Adapts to Changing Conditions

Until recently, big data processing has been dominated by batch systems like MapReduce and Spark, which allow us to periodically process a large amount of data very efficiently.
2 min read
Alexei Efros
New Year

Alexei Efros: Learning From the Ground Up

Things are really starting to get going in the field of AI. After many years (decades?!) of focusing on algorithms, the AI community is finally ready to accept the central role of data and the high-capacity models that are capable of taking advantage of this data.
2 min read
Wolfram Burgard
New Year

Wolfram Burgard: Train Robots in the Real World

Robots are tremendously useful machines, and I would like to see them applied to every task where they can do some good. Yet we don’t have enough programmers for all this hardware and all these tasks.
3 min read
Abeba Birhane
New Year

Abeba Birhane: Clean Up Web Datasets

From language to vision models, deep neural networks are marked by improved performance, higher efficiency, and better generalizations. Yet, these systems are also marked by perpetuation of bias and injustice.
3 min read
Ilya Sutskever
New Year

Ilya Sutskever: Fusion of Language and Vision

The past year was the first in which general-purpose models became economically useful. GPT-3, in particular, demonstrated that large language models have surprising linguistic competence and the ability to perform a wide variety of useful tasks.
2 min read
Harry Shum
New Year

Harry Shum: Assisted Artistry

In 2021, I envision that the AI community will create more tools to unleash human creativity. AI will help people across the globe to communicate and express emotions and moods in their own unique ways.
2 min read
Matthew Mattina
New Year

Matthew Mattina: Life- Saving Models in Your Pocket

Look at the tip of a standard #2 pencil. Now, imagine performing over one trillion multiplication operations in the area of that pencil tip every second. This can be accomplished using today’s 7nm semiconductor technology.
2 min read
Fei-Fei Li
New Year

Fei-Fei Li: Invigorating the U.S. AI Ecosystem

The United States has been a leader in science and technology for decades, and all nations have benefitted from its innovations. But U.S. leadership in AI is not guaranteed.
2 min read
Ayanna Howard
New Year

Ayanna Howard: Training in Ethical AI

As AI engineers, we have tools to design and build any technology-based solution we can dream of. But many AI developers don’t consider it their responsibility to address potential negative consequences as a part of this work.
2 min read
Dawn Song
New Year

Dawn Song: Taking Responsibility for Data

Datasets are critical to AI and machine learning, and they are becoming a key driver of the economy. Collection of sensitive data is increasing rapidly, covering almost every aspect of people’s lives.
2 min read
Richard Socher
New Year

Richard Socher: Boiling the Information Ocean

Ignorance is a choice in the Internet age. Virtually all of human knowledge is available for the cost of typing a few words into a search box.
2 min read
David Patterson
New Year

David Patterson: Faster Training and Inference

Billions of dollars invested to create novel AI hardware will bear their early fruit in 2020. Google unleashed a financial avalanche with its tensor processing unit in 2017.
1 min read
Kai-Fu Lee
New Year

Kai-Fu Lee: AI Everywhere

Artificial intelligence has moved from the age of discovery to the age of implementation. Among our invested portfolios, primarily in China, we see flourishing applications using AI and automation in banking, finance, transportation, logistics, supermarkets, restaurants, warehouses, factories...
1 min read

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