AI News
The Kate Middleton Photo's Most Glaring Photoshop Mistakes
Blurry hair, meandering zippers—we asked WIRED’s design department to explain the editing errors in Kate Middleton's controversial Mother's Day photo.
The Kate Middleton Photo’s Most Glaring Photoshop Mistakes
Blurry hair, meandering zippers—we asked WIRED’s design department to explain the editing errors in Kate Middleton’s controversial Mother’s Day photo.
DoorDash’s new AI-powered ‘SafeChat+’ tool automatically detects verbal abuse
DoorDash hopes to reduce verbally abusive and inappropriate interactions between consumers and delivery people with its new AI-powered feature that automatically detects offensive language. Dubbed “SafeChat+,” DoorDash is leveraging AI technology to review in-app conversations and determine if a customer or Dasher is being harassed. Depending on the scenario, there will be an option to […] © 2024 TechCrunch. All rights reserved. For personal use only.
Your Kid May Already Be Watching AI-Generated Videos on YouTube
Get-rich-quick hustlers say it’s a great time to push AI-generated kids videos on YouTube. WIRED found some channels targeting children that appear to be already embracing the technology.
Applied Intuition lands $6B valuation for AI-powered autonomous vehicle software
Autonomous vehicle software company Applied Intuition has raised $250 million in a round that values the startup at $6 billion, as it pushes to bring more artificial intelligence to the automotive, defense, construction and agriculture sectors. The eye-popping funding round is the latest example of investor fervor for AI. Applied Intuition appears to have nailed […] © 2024 TechCrunch. All rights reserved. For personal use only.
Four things we learned when US intelligence chiefs testified to Congress
Cyberattacks, regional conflict, weapons of mass destruction, terrorism, commercial spyware, AI, misinformation, disinformation, deepfakes and TikTok. These are just some of the top perceived threats that the United States faces, according to the U.S. government’s intelligence agency’s latest global risk assessment. The unclassified report published Monday — sanitized for public release — gave a frank […] © 2024 TechCrunch. All rights reserved. For personal use only.
Elon Musk Gave Himself No Choice but to Open Source His Chatbot Grok
Earlier this month Elon Musk sued OpenAI for keeping its technology secret. Today he promised to give away his own “truth-seeking” chatbot Grok for free.
Why Elon Musk Had to Open Source Grok, His Answer to ChatGPT
Earlier this month Elon Musk sued OpenAI for keeping its technology secret. Today he promised to give away his own “truth-seeking” chatbot Grok for free.
An AI-Altered Hitler Speech Is Going Viral On X
Two AI-altered clips of Hitler’s 1939 Reichstag speech have racked up millions of views on X after being shared by a far-right troll.
The Quest to Give AI Chatbots a Hand—and an Arm
Robotics startup Covariant is experimenting with a ChatGPT-style chatbot that can control a robotic arm, as a way to create machines that can be more helpful in the physical world.
2024 BAIR Graduate Directory
Every year, the Berkeley Artificial Intelligence Research (BAIR) Lab graduates some of the most talented and innovative minds in artificial intelligence and machine learning. Our Ph.D. graduates have each expanded the frontiers of AI research and are now ready to embark on new adventures in academia, industry, and beyond. These fantastic individuals bring with them a wealth of knowledge, fresh ideas, and a drive to continue contributing to the advancement of AI. Their work at BAIR, ranging from deep learning, robotics, and natural language processing to computer vision, security, and much more, has contributed significantly to their fields and has had transformative impacts on society. This website is dedicated to showcasing our colleagues, making it easier for academic institutions, research organizations, and industry leaders to discover and recruit from the newest generation of AI pioneers. Here, you’ll find detailed profiles, research interests, and contact information for each of our graduates. We invite you to explore the potential collaborations and opportunities these graduates present as they seek to apply their expertise and insights in new environments. Join us in celebrating the achievements of BAIR’s latest PhD graduates. Their journey is just beginning, and the future they will help build is bright! Thank you to our friends at the Stanford AI Lab for this idea! Abdus Salam Azad Email: [email protected] Website: https://www.azadsalam.org/ Advisor(s): Ion Stoica Research Blurb: My research interest lies broadly in the field of Machine Learning and Artificial Intelligence. During my PhD I have focused on Environment Generation/ Curriculum Learning methods for training Autonomous Agents with Reinforcement Learning. Specifically, I work on methods that algorithmically generates diverse training environments (i.e., learning scenarios) for autonomous agents to improve generalization and sample efficiency. Currently, I am working on Large Language Model (LLM) based autonomous agents. Jobs Interested In: Research Scientist, ML Engineer Alicia Tsai Email: [email protected] Website: https://www.aliciatsai.com/ Advisor(s): Laurent El Ghaoui Research Blurb: My research delves into the theoretical aspects of deep implicit models, beginning with a unified "state-space" representation that simplifies notation. Additionally, my work explores various training challenges associated with deep learning, including problems amenable to convex and non-convex optimization. In addition to theoretical exploration, my research extends the potential applications to various problem domains, including natural language processing, and natural science. Jobs Interested In: Research Scientist, Applied Scientist, Machine Learning Engineer Catherine Weaver Email: [email protected] Website: https://cwj22.github.io Advisor(s): Masayoshi Tomizuka, Wei Zhan Research Blurb: My research focuses on machine learning and control algorithms for the challenging task of autonomous racing in Gran Turismo Sport. I leverage my background in Mechanical Engineering to discover how machine learning and model-based optimal control can create safe, high-performance control systems for robotics and autonomous systems. A particular emphasis of mine has been how to leverage offline datasets (e.g. human player's racing trajectories) to inform better, more sample efficient control algorithms. Jobs Interested In: Research Scientist and Robotics/Controls Engineer Chawin Sitawarin Email: [email protected] Website: https://chawins.github.io/ Advisor(s): David Wagner Research Blurb: I am broadly interested in the security and safety aspects of machine learning systems. Most of my previous works are in the domain of adversarial machine learning, particularly adversarial examples and robustness of machine learning algorithms. More recently, I am excited about emerging security and privacy risks on large language models. Jobs Interested In: Research scientist Dhruv Shah Email: [email protected] Website: http://cs.berkeley.edu/~shah/ Advisor(s): Sergey Levine Research Blurb: I train big(-ish) models and make robots smarter. Jobs Interested In: Research scientist, roboticist Eliza Kosoy Email: [email protected] Website: https://www.elizakosoy.com/ Advisor(s): Alison Gopnik Research Blurb: Eliza Kosoy works at the intersection of child development and AI with Prof. Alison Gopnik. Her work includes creating evaluative benchmarks for LLMs rooted in child development and studying how children and adults use GenAI models such as ChatGPT/Dalle and form mental models about them. She’s an intern at Google working on the AI/UX team and previously with the Empathy Lab. She has published in Neurips, ICML, ICLR, Cogsci and cognition. Her thesis work created a unified virtual environment for testing children and AI models in one place for the purposes of training RL models. She also has experience building startups and STEM hardware coding toys. Jobs Interested In: Research Scientist (child development and AI), AI safety (specializing in children), User Experience (UX) Researcher (specializing in mixed methods, youth, AI, LLMs), Education and AI (STEM toys) Fangyu Wu Email: [email protected] Website: https://fangyuwu.com/ Advisor(s): Alexandre Bayen Research Blurb: Under the mentorship of Prof. Alexandre Bayen, Fangyu focuses on the application of optimization methods to multi-agent robotic systems, particularly in the planning and control of automated vehicles. Jobs Interested In: Faculty, or research scientist in control, optimization, and robotics Frances Ding Email: [email protected] Website: https://www.francesding.com/ Advisor(s): Jacob Steinhardt, Moritz Hardt Research Blurb: My research focus is in machine learning for protein modeling. I work on improving protein property classification and protein design, as well as understanding what different protein models learn. I have previously worked on sequence models for DNA and RNA, and benchmarks for evaluating the interpretability and fairness of ML models across domains. Jobs Interested In: Research scientist Jianlan Luo Email: [email protected] Website: https://people.eecs.berkeley.edu/~jianlanluo/ Advisor(s): Sergey Levine Research Blurb: My research interests are broadly in scalable algorithms and practice of machine learning, robotics, and controls; particularly their intersections. Jobs Interested In: Faculty, Research Scientist Kathy Jang Email: [email protected] Website: https://kathyjang.com Advisor(s): Alexandre Bayen Research Blurb: My thesis work has specialized in reinforcement learning for autonomous vehicles, focusing on enhancing decision-making and efficiency in applied settings. In future work, I'm eager to apply these principles to broader challenges across domains like natural language processing. With my background, my aim is to see the direct impact of my efforts by contributing to innovative AI research and solutions. Jobs Interested In: ML research scientist/engineer Kevin Lin Email: [email protected] Website: https://people.eecs.berkeley.edu/~kevinlin/ Advisor(s): Dan Klein, Joseph E. Gonzalez Research Blurb: My research focuses on understanding and improving how language models use and provide information. Jobs Interested In: Research Scientist Nikhil Ghosh Email: [email protected] Website: https://nikhil-ghosh-berkeley.github.io/ Advisor(s): Bin Yu, Song Mei Research Blurb: I am interested in developing a better foundational understanding of deep learning and improving practical systems, using both theoretical and empirical methodology. Currently, I am especially interested in improving the efficiency of large models by studying how to properly scale hyperparameters with model size. Jobs Interested In: Research Scientist Olivia Watkins Email: [email protected] Website: https://aliengirlliv.github.io/oliviawatkins Advisor(s): Pieter Abbeel and Trevor Darrell Research Blurb: My work involves RL, BC, learning from humans, and using common-sense foundation model reasoning for agent learning. I’m excited about language agent learning, supervision, alignment & robustness. Jobs Interested In: Research scientist Ruiming Cao Email: [email protected] Website: https://rmcao.net Advisor(s): Laura Waller Research Blurb: My research is on computational imaging, particularly the space-time modeling for dynamic scene recovery and motion estimation. I also work on optical microscopy techniques, optimization-based optical design, event camera processing, novel view rendering. Jobs Interested In: Research scientist, postdoc, faculty Ryan Hoque Email: [email protected] Website: https://ryanhoque.github.io Advisor(s): Ken Goldberg Research Blurb: Imitation learning and reinforcement learning algorithms that scale to large robot fleets performing manipulation and other complex tasks. Jobs Interested In: Research Scientist Sam Toyer Email: [email protected] Website: https://www.qxcv.net/ Advisor(s): Stuart Russell Research Blurb: My research focuses on making language models secure, robust and safe. I also have experience in vision, planning, imitation learning, reinforcement learning, and reward learning. Jobs Interested In: Research scientist Shishir G. Patil Email: [email protected] Website: https://shishirpatil.github.io/ Advisor(s): Joseph Gonzalez Research Blurb: Gorilla LLM - Teaching LLMs to use tools (https://gorilla.cs.berkeley.edu/); LLM Execution Engine: Guaranteeing reversibility, robustness, and minimizing blast-radius for LLM-Agents incorporated into user and enterprise workflows; POET: Memory bound, and energy efficient fine-tuning of LLMs on edge devices such as smartphones and laptops (https://poet.cs.berkeley.edu/). Jobs Interested In: Research Scientist Suzie Petryk Email: [email protected] Website: https://suziepetryk.com/ Advisor(s): Trevor Darrell, Joseph Gonzalez Research Blurb: I work on improving the reliability and safety of multimodal models. My focus has been on localizing and reducing hallucinations for vision + language models, along with measuring and using uncertainty and mitigating bias. My interests lay in applying solutions to these challenges in actual production scenarios, rather than solely in academic environments. Jobs Interested In: Applied research scientist in generative AI, safety, and/or accessibility Xingyu Lin Email: [email protected] Website: https://xingyu-lin.github.io/ Advisor(s): Pieter Abbeel Research Blurb: My research lies in robotics, machine learning, and computer vision, with the primary goal of learning generalizable robot skills from two angles: (1) Learning structured world models with spatial and temporal abstractions. (2) Pre-training visual representation and skills to enable knowledge transfer from Internet-scale vision datasets and simulators. Jobs Interested In: Faculty, or research scientist Yaodong Yu Email: [email protected] Website: https://yaodongyu.github.io/ Advisor(s): Michael I. Jordan, Yi Ma Research Blurb: My research interests are broadly in theory and practice of trustworthy machine learning, including interpretability, privacy, and robustness. Jobs Interested In: Faculty
Selective Forgetting Can Help AI Learn Better
Erasing key information during training allows machine learning models to learn new languages faster and more easily.
Learn your farm animals with AI!
Hey kids! What sound does a woolly horse-sheep make?The image above is what you get when you ask dalle-3 (via chatgpt) for some basic educational material: "Please generate an illustrated poster to help children learn which sounds common animals make. Each animal should be pictured with a speech
Welcome to the Valley of the Creepy AI Dolls
Social robots for older adults might not be new, but now they're recording, listening—and talking back.
Sam Altman Is Reinstated to OpenAI’s Board
OpenAI named Sam Altman, its fired-then-rehired CEO, to its board of directors Friday. It also added three women with executive experience at Sony, Meta, and the Bill & Melinda Gates Foundation.
Sam Altman Back on OpenAI's Board After He Is Cleared by Investigation
OpenAI named Sam Altman, its fired-then-rehired CEO, to its board of directors Friday. It also added three women with executive experience at Sony, Meta, and the Bill & Melinda Gates Foundation.
Florida Middle Schoolers Arrested for Allegedly Creating Deepfake Nudes of Classmates
In what appears to be the first criminal case of its kind, two teenage boys were charged under a 2022 Florida law for allegedly creating AI-generated images depicting middle school classmates.
AI fraud detection software maker Inscribe.ai lays off 40% of staff
Yet another AI-powered fraud detection software provider is laying off staff. Inscribe, whose platform works to detect fraud in areas like business underwriting, tenant screening and onboarding, has cut just under 40% of its staff, which equates to dozens of employees. The news follows that of another small round of layoffs at AI-powered plagiarism detector […] © 2024 TechCrunch. All rights reserved. For personal use only.
Review completed & Altman, Brockman to continue to lead OpenAI
New board members named and enhancements to the governance structure introduced
