Lukas Biewald | |
---|---|
Born | 1981 (age 42–43) |
Alma mater | Stanford University |
Lukas Biewald (born 1981 in Massachusetts) is the CEO & co-founder of Weights & Biases, the AI developer platform with tools for training models, fine-tuning models, and leveraging foundation models. Weights & Biases is used by machine learning teams in organizations such as OpenAI, Meta, Cohere, and NVIDIA. In 2023, Weights & Biases was on the Forbes AI 50 list [1] and the winner of the Google Cloud Technology Partner of the Year Award for Artificial Intelligence and Machine Learning [2].
Before Weights & Biases, Lukas was the co-founder and CEO of Figure Eight Inc. (formerly CrowdFlower) which he co-founded in December 2007 with Chris Van Pelt. [1] In 2019, Biewald sold Figure Eight to Appen for 300 million dollars. [2]
Biewald is also the host of Gradient Dissent, a machine learning podcast that takes you behind-the-scenes to learn how industry leaders are putting deep learning models in production.
As a child, Biewald was a fan of watching PBS science documentaries. He was drawn in and fascinated by the potential of AI and its ability to create and replicate human behavior with technology. In an interview, he noted: "The idea that computers could learn to do things on their own just seemed amazing to me. It always kind of felt like humanity’s last project." [3]
Biewald holds a B.S. in Mathematics and an M.S. in Computer Science from Stanford University. [4] He was also a research assistant in Daphne Koller's group in the Stanford AI Lab.
After graduation, Biewald joined Yahoo! as an engineer, working on machine translations to improve search results, and eventually led the Search Relevance Team for Yahoo! Japan, where he focused on using statistical machine learning approaches to improve the web search ranking function for international markets. He later joined Powerset, a natural language search technology company, as their Senior Scientist.
In 2007, Biewald co-founded Figure Eight with Chris Van Pelt. The company was later acquired by Appen in March 2019 for 300 million dollars.
In 2018, Biewald partnered with Chris Van Pelt again and pulled in Shawn Lewis, a long-time friend with the founder's experience to co-found Weights & Biases. Together, they used their combined knowledge, skills, and experiences to create tools that could support machine learning practitioners and move forward the state-of-the-art of machine learning. The goal, he said was to "build a company that would help behind the scenes in making stuff reliable”. [4]
Biewald holds an MS in Computer Science and a BS in Mathematics from Stanford University.
While pursuing his Master's in Computer Science at Stanford University, Biewald won the California Institute of Technology Turing Tournament. [9]
He is the author of several academic papers [10] [11] [12] on applications of crowdsourcing, as well as a chapter on crowdsourcing gender and age stereotypes [13] in O'Reilly Media's Beautiful Data that he co-authored with Brendan O'Connor.
Biewald appeared in an episode of Hidden in Plain Sight entitled "Deep Learning is Eating the World", [14] where he discussed software evolution and the effect of machine learning on humanity.
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Barney Pell is an American entrepreneur, angel investor and computer scientist. He was co-founder and CEO of Powerset, a pioneering natural language search startup, search strategist and architect for Microsoft's Bing search engine, a pioneer in the field of general game playing in artificial intelligence, and the architect of the first intelligent agent to fly onboard and control a spacecraft. He was co-founder, Vice Chairman and Chief Strategy Officer of Moon Express; co-founder and chairman of LocoMobi; and Associate Founder of Singularity University.
Figure Eight was a human-in-the-loop machine learning and artificial intelligence company based in San Francisco.
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Oyekunle Ayinde "Kunle" Olukotun is a British-born Nigerian computer scientist who is the Cadence Design Systems Professor of the Stanford School of Engineering, Professor of Electrical Engineering and Computer Science at Stanford University and the director of the Stanford Pervasive Parallelism Lab. Olukotun is known as the “father of the multi-core processor”, and the leader of the Stanford Hydra Chip Multiprocessor research project. Olukotun's achievements include designing the first general-purpose multi-core CPU, innovating single-chip multiprocessor and multi-threaded processor design, and pioneering multicore CPUs and GPUs, transactional memory technology and domain-specific languages programming models. Olukotun's research interests include computer architecture, parallel programming environments and scalable parallel systems, domain specific languages and high-level compilers.
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