Lukas Biewald

Last updated
Lukas Biewald
Lukas Biewald Poptech.jpg
Biewald speaking at PopTech 2011
Born1981 (age 4243)
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].

Contents

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.

Early life

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]

Education

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.

Career

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]

Awards and honors

Academic life

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.

Publications

Media appearances

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.

Related Research Articles

<span class="mw-page-title-main">MIT Computer Science and Artificial Intelligence Laboratory</span> CS and AI Laboratory at MIT (formed by merger in 2003)

Computer Science and Artificial Intelligence Laboratory (CSAIL) is a research institute at the Massachusetts Institute of Technology (MIT) formed by the 2003 merger of the Laboratory for Computer Science (LCS) and the Artificial Intelligence Laboratory. Housed within the Ray and Maria Stata Center, CSAIL is the largest on-campus laboratory as measured by research scope and membership. It is part of the Schwarzman College of Computing but is also overseen by the MIT Vice President of Research.

<span class="mw-page-title-main">Vijay S. Pande</span> American scientist

Vijay Satyanand Pande is a Trinidadian–American scientist and venture capitalist. Pande is best known for orchestrating the distributed computing protein-folding research project known as Folding@home. His research is focused on distributed computing and computer-modelling of microbiology, and on improving computer simulations regarding drug-binding, protein design, and synthetic biomimetic polymers. He is currently a general partner at venture capital firm Andreessen Horowitz.

Microsoft Research (MSR) is the research subsidiary of Microsoft. It was created in 1991 by Richard Rashid, Bill Gates and Nathan Myhrvold with the intent to advance state-of-the-art computing and solve difficult world problems through technological innovation in collaboration with academic, government, and industry researchers. The Microsoft Research team has more than 1,000 computer scientists, physicists, engineers, and mathematicians, including Turing Award winners, Fields Medal winners, MacArthur Fellows, and Dijkstra Prize winners.

<span class="mw-page-title-main">Daphne Koller</span> Israeli-American computer scientist

Daphne Koller is an Israeli-American computer scientist. She was a professor in the department of computer science at Stanford University and a MacArthur Foundation fellowship recipient. She is one of the founders of Coursera, an online education platform. Her general research area is artificial intelligence and its applications in the biomedical sciences. Koller was featured in a 2004 article by MIT Technology Review titled "10 Emerging Technologies That Will Change Your World" concerning the topic of Bayesian machine learning.

<span class="mw-page-title-main">Crowdsourcing</span> Sourcing services or funds from a group

Crowdsourcing involves a large group of dispersed participants contributing or producing goods or services—including ideas, votes, micro-tasks, and finances—for payment or as volunteers. Contemporary crowdsourcing often involves digital platforms to attract and divide work between participants to achieve a cumulative result. Crowdsourcing is not limited to online activity, however, and there are various historical examples of crowdsourcing. The word crowdsourcing is a portmanteau of "crowd" and "outsourcing". In contrast to outsourcing, crowdsourcing usually involves less specific and more public groups of participants.

The following outline is provided as an overview of and topical guide to artificial intelligence:

<span class="mw-page-title-main">Steve Omohundro</span> American computer scientist

Stephen Malvern Omohundro is an American computer scientist whose areas of research include Hamiltonian physics, dynamical systems, programming languages, machine learning, machine vision, and the social implications of artificial intelligence. His current work uses rational economics to develop safe and beneficial intelligent technologies for better collaborative modeling, understanding, innovation, and decision making.

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.

<span class="mw-page-title-main">Figure Eight Inc.</span> American software company

Figure Eight was a human-in-the-loop machine learning and artificial intelligence company based in San Francisco.

<span class="mw-page-title-main">Andrew Ng</span> American artificial intelligence researcher

Andrew Yan-Tak Ng is a British-American computer scientist and technology entrepreneur focusing on machine learning and artificial intelligence (AI). Ng was a cofounder and head of Google Brain and was the former Chief Scientist at Baidu, building the company's Artificial Intelligence Group into a team of several thousand people.

<span class="mw-page-title-main">Kunle Olukotun</span> British-born Nigerian computer scientist

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.

Nir Friedman is an Israeli Professor of Computer Science and Biology at the Hebrew University of Jerusalem.

<span class="mw-page-title-main">Fei-Fei Li</span> Chinese American computer scientist (born 1976)

Fei-Fei Li is a China-born American computer scientist, known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s. She is Sequoia Capital professor of computer science at Stanford University and former board director at Twitter. Li is a co-director of the Stanford Institute for Human-Centered Artificial Intelligence and a co-director of the Stanford Vision and Learning Lab. She served as the director of the Stanford Artificial Intelligence Laboratory from 2013 to 2018.

Reza Zadeh is an American-Canadian-Iranian computer scientist and technology executive working on machine learning. He is adjunct professor at Stanford University and CEO of Matroid. He has served on the technical advisory boards of Databricks and Microsoft. His work focuses on machine learning, distributed computing, and discrete applied mathematics.

Ashutosh Saxena is an Indian-American computer scientist, researcher, and entrepreneur known for his contributions to the field of artificial intelligence and robotics. His research interests include deep learning, robotics, and 3-dimensional computer vision. Saxena is the co-founder and CEO of Caspar.AI, which is an artificial intelligence company that automates peoples' homes and builds applications such as fall detectors for senior living. Prior to Caspar.AI, Ashutosh co-founded Cognical Katapult, which provides a no credit required alternative to traditional financing for online and omni-channel retail. Before Katapult, Saxena was an assistant professor in the Computer Science Department and faculty director of the RoboBrain Project at Cornell University.

Appen Limited is a publicly traded data company listed on the Australian Securities Exchange (ASX) under the code APX.

<span class="mw-page-title-main">Pieter Abbeel</span> Machine learning researcher at Berkeley

Pieter Abbeel is a professor of electrical engineering and computer sciences, Director of the Berkeley Robot Learning Lab, and co-director of the Berkeley AI Research (BAIR) Lab at the University of California, Berkeley. He is also the co-founder of covariant.ai, a venture-funded start-up that aims to teach robots new, complex skills, and co-founder of Gradescope, an online grading system that has been implemented in over 500 universities nationwide. He is best known for his cutting-edge research in robotics and machine learning, particularly in deep reinforcement learning. In 2021, he joined AIX Ventures as an Investment Partner. AIX Ventures is a venture capital fund that invests in artificial intelligence startups.

Crowdsource is a crowdsourcing platform developed by Google intended to improve a host of Google services through the user-facing training of different algorithms.

Olga Russakovsky is an associate professor of computer science at Princeton University. Her research investigates computer vision and machine learning. She was one of the leaders of the ImageNet Large Scale Visual Recognition challenge and has been recognised by MIT Technology Review as one of the world's top young innovators.

References

  1. Barret, Victoria (11 March 2009). "Dolores Labs Vets Web Sites On The Cheap". Forbes. Retrieved 16 April 2011.
  2. Ha, Anthony. "Appen acquires Figure Eight for up to $300M, bringing two data annotation companies together".
  3. D'Onfro, Jillian (2023-09-21). "How Lukas Biewald grew Weights & Biases from a side project to the AI revolution's must-use service". Insight Partners. Retrieved 2023-10-27.
  4. Biewald, Lukas (October 27, 2023). "Lukas Biewald". LinkedIn. Retrieved October 27, 2023.
  5. "The TechCrunch50 Finalists 2009". TechCrunch. Retrieved 17 April 2011.
  6. "Lukas BIEWALD / Add value to the world". Netexplorateur. 4 May 2010. Retrieved 17 April 2011.
  7. "GiveWork - Dolores Labs - platform iOS 3.0 - version 1.1". iTunes . 3 February 2010.
  8. Lagorio, Christine (19 July 2010). "Lukas Biewald and Chris Van Pelt, Founders of Crowdflower". Inc. Magazine. Retrieved 17 April 2011.
  9. Archived November 20, 2011, at the Wayback Machine
  10. Biewald, Lukas (2010). "Massive multiplayer human computation for fun, money, and survival". XRDS: Crossroads, the ACM Magazine for Students. 17 (2): 10–15. doi:10.1145/1869086.1869093. S2CID   11144147 . Retrieved 16 April 2011.
  11. "Scalable crisis relief: Crowdsourced SMS translation and categorization with Mission 4636" (PDF). ACM DEV ’10. Archived from the original (PDF) on 6 February 2011. Retrieved 16 April 2011.
  12. "Ensuring quality in crowdsourced search relevance evaluation: The effects of training question distribution" (PDF). SIGIR ’10. Archived from the original (PDF) on 24 December 2010. Retrieved 16 April 2011.
  13. Beautiful Data. O'Reilly Media. 2009. p. 384. ISBN   978-0-596-15711-1.
  14. "Deep Learning is Eating the World"