Joyce’s picks: musings and readings in AI/ML, September 9, 2024
5-minute weekly must-read on data science and artificial intelligence news, funding, and research, curated by Joyce Shen.
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Joyce’s picks: musings and readings in AI/ML, September 2, 2024
📌 Musings and Readings
“Microsoft released Phi-3.5-MoE, new model in the Phi family of models.” (Link)
“OpenAI and Anthropic agree to let U.S. AI Safety Institute test and evaluate new models.” (CNBC)
“Atlassian acquires Rewatch as it gets into AI meeting bots.” (TechCrunch)
“Amazon to Hire Covariant Founders to
threatER Recognized in Inc. 5000 Fastest Growing Companies for 2024
There are about 25 million private companies in the U.S. and only 4000 public companies. Getting on Inc. 5000 Fastest Growing Companies list is not an easy feat. I am proud to share that threatER was named on this year's prestigious list.
Effectively, threatER blocks and allows
Joyce’s picks: musings and readings in AI/ML, August 19, 2024
📌 Musings and Readings
“How A.I. Can Help Start Small Businesses” (NY Times)
“People are falling in love with — and getting addicted to — AI voices” (Vox)
“AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies” (Paper)
“APE: Active Prompt Engineering - Identifying Informative Few-Shot Examples for LLMs”
Joyce’s picks: musings and readings in AI/ML, August 12, 2024
📌 Musings and Readings
“Hugging Face acquires XetHub from ex-Apple researchers for large AI model hosting” (Venturebeat)
“Why Every Big Tech Company Has Failed to Dethrone Nvidia as King of AI” (WSJ)
“The FCC proposes requiring robocallers to disclose when they’re using AI” (Verge)
“Generative AI’s Slop Era” (The
Joyce’s picks: musings and readings in AI/ML, August 5, 2024
📌 Musings and Readings
“Reddit Acquires Generative AI Startup Memorable AI” (Bloomberg)
“Method prevents an AI model from being overconfident about wrong answers” (MIT)
“Gemma Scope: helping the safety community shed light on the inner workings of language models” (Google Deepmind)
“GE HealthCare taps Amazon Web Services to build generative AI
Joyce’s picks: musings and readings in AI/ML, July 29, 2024
📌 Musings and Readings
“Llama 3.1” (Meta)
“The DEFIANCE Act of 2024” passed - bipartisan legislation focused on non-consensual, sexually-explicit “deep-fake” images and videos (Link)
“The state of AI in early 2024: Gen AI adoption spikes and starts to generate value” (McKinsey)
“Quantifying Representation Reliability in Self-Supervised Learning Models” (Paper)
Joyce’s picks: musings and readings in AI/ML, July 15, 2024
📌 Musings and Readings
“OpenAI Scale Ranks Progress Toward ‘Human-Level’ Problem Solving” (Bloomberg)
“Mixture of A Million Experts” paper (DeepMind)
👏 Deals
Polystyvert, a Montréal-based clean tech company focusing on recycling and purifying plastic waste to produce premium materials, has raised $16m in financing.
Command Zero, a TX-based startup building an AI-powered
Joyce’s picks: musings and readings in AI/ML, July 8, 2024
📌 Musings and Readings
"Learning to speak to whales using AI, with David Gruber" (UChicago Big Brains Podcast)
“Job scams surged 118% in 2023, aided by AI.” (CNBC)
“China is the runaway leader in generative AI patent applications followed by the US, the UN says.” (AP)
Apple to gain
Considerations in Utilizing Synthetic Data for AI/ML
Synthetic data is expected to grow in the coming years, based on research from IT analysts firms such as Gartner.
What is synthetic data?
Synthetic data is artificially generated data that mimics real-world data. Synthetic datasets can be created through various methods, including computer simulations, statistical methods, or algorithmic generation