Hi All! n n Here is my weekly letter on mental models, performance, business, and entrepreneurship. If you love this content (please share it), but also… :::tip Check out my Podcast, connect with me on YouTube / Twitter. You can also subscribe to my DAILY newsletter here. ::: What’s in today’s newsletter? The days of stumbling upon a billion-dollar idea while … Read more
:::info Author: (1) V V Obukhov, Institute of research and development, Tomsk State Pedagogical University, Kievskaya str. 60, Tomsk 634061, Russia & International laboratory of theoretical cosmology, Tomsk State University of Control Systems and Radioelectronics, Lenina pr. 40, Tomsk 634050, Russia (E-mail: obukhov@tspu.edu.ru); (2) K E Osetrin, Center for Mathematical and Computer Physics, Tomsk State … Read more
TORRANCE, United States / California, June 10th, 2024, CyberNewsWire/–AI SPERA, a leader in Cyber Threat Intelligence (CTI) solutions, announced that it has started selling its paid threat detection data from its CTI search engine ‘Criminal IP” on the Snowflake Marketplace. Criminal IP is committed to offering advanced cybersecurity solutions through Snowflake, the leading cloud-based data … Read more
For investors, developers, and analysts, staying current with real-time data, on-chain activity, NFT metadata, and other essential crypto-related data is important in the rapidly evolving world of cryptocurrencies. This is where APIs come into play. These APIs give users easy access to a variety of cryptocurrency data, enabling them to build robust applications, make well-informed … Read more
:::info Author: (1) V V Obukhov, Institute of research and development, Tomsk State Pedagogical University, Kievskaya str. 60, Tomsk 634061, Russia & International laboratory of theoretical cosmology, Tomsk State University of Control Systems and Radioelectronics, Lenina pr. 40, Tomsk 634050, Russia (E-mail: obukhov@tspu.edu.ru); (2) K E Osetrin, Center for Mathematical and Computer Physics, Tomsk State … Read more
In this article, we are going to do something really cool: we will build a chatbot using Python and the Gemini API. This will be a web-based assistant and could be the beginning of your own AI project. It’s beginner-friendly, and I will guide you through it step-by-step. By the end, you’ll have your own … Read more
LONDON, UK, June 10th, 2024, Chainwire/–Solana VM— the world’s 1st EVM compatible L2 for Solana, has raised over $1M to lead the DeFi on Solana. Presale is offering users the chance to invest in $SVM, Solana’s VM native token, before the official token will be open for public trading. Solana VM raised over $1 million … Read more
Advances in technology are necessary to move us forward, keeping us connected, productive, and efficient in the process. But this also drives innovation in crime, revealing new, enhanced ways for bad actors to steal data, violate intellectual property rights, distribute fake products, and find more methods to profit at the expense of businesses and consumers. … Read more
NEW YORK CITY, United States, June 10th, 2024/Chainwire/–PlayFi,an AI-powered data network and blockchain tailored for the gaming industry, has announced new engagements with four industry leaders aimed at strengething the gaming ecosystem through enhanced technology integrations. PlayFi, which sits at the intersection of gaming, web3, and AI, will be working alongside Aethir, MultiversX, Squid, and … Read more
:::info Author: (1) Yuki Koto ::: Table of Links Abstract and Intro Genus-zero Gromov-Witten Theory Toric Bundles Lagrangian cones of Toric bundles Mirror theorem for a product of projectives bundles Mirror Theorem for Toric Bundles Appendix A. Equivariant Fourier Transformation and References 4. Lagrangian cones of toric bundles These sheaves are endowed with T-actions, and … Read more
:::info Author: (1) Yuki Koto ::: Table of Links Abstract and Intro Genus-zero Gromov-Witten Theory Toric Bundles Lagrangian cones of Toric bundles Mirror theorem for a product of projectives bundles Mirror Theorem for Toric Bundles Appendix A. Equivariant Fourier Transformation and References 2. Genus-zero Gromov-Witten theory In this section, we briefly recall the (torus-equivariant/twisted) genus-zero … Read more
:::info Author: (1) Yuki Koto ::: Table of Links Abstract and Intro Genus-zero Gromov-Witten Theory Toric Bundles Lagrangian cones of Toric bundles Mirror theorem for a product of projectives bundles Mirror Theorem for Toric Bundles Appendix A. Equivariant Fourier Transformation and References 5. Mirror theorem for a product of projective bundles In this section, we … Read more
:::info Author: (1) Yuki Koto ::: Table of Links Abstract and Intro Genus-zero Gromov-Witten Theory Toric Bundles Lagrangian cones of Toric bundles Mirror theorem for a product of projectives bundles Mirror Theorem for Toric Bundles Appendix A. Equivariant Fourier Transformation and References 6. Mirror theorem for toric bundles In this section, we will prove the … Read more
:::info Author: (1) Yuki Koto ::: Table of Links Abstract and Intro Genus-zero Gromov-Witten Theory Toric Bundles Lagrangian cones of Toric bundles Mirror theorem for a product of projectives bundles Mirror Theorem for Toric Bundles Appendix A. Equivariant Fourier Transformation and References Appendix A. Equivariant Fourier transformation Note that this is a straightforward generalization of … Read more
:::info Author: (1) Yuki Koto ::: Table of Links Abstract and Intro Genus-zero Gromov-Witten Theory Toric Bundles Lagrangian cones of Toric bundles Mirror theorem for a product of projectives bundles Mirror Theorem for Toric Bundles Appendix A. Equivariant Fourier Transformation and References 3. Toric bundles In this section we introduce toric bundles. We first review … Read more
:::info Author: (1) Yuki Koto ::: Table of Links Abstract and Intro Genus-zero Gromov-Witten Theory Toric Bundles Lagrangian cones of Toric bundles Mirror theorem for a product of projectives bundles Mirror Theorem for Toric Bundles Appendix A. Equivariant Fourier Transformation and References Abstract We construct an I-function for toric bundles obtained as a fiberwise GIT … Read more
Numerous articles have been written about the enormous energy demands and environmental impact of Bitcoin mining. The amount of energy currently used for mining approaches the energy consumption of an entire country, and most of this energy comes from fossil sources. We have known this for a while. However, Sabine Hossenfelder recently made a video … Read more
We often get approached by both expert and novice binary options trading enthusiasts, and it’s the same question all over again — can trading bots help? To tell you the truth, the answer is both yes and no, but they can be pretty powerful tools if used the right way. That’s what we’ll try to … Read more
“Follow your passion and you’ll never work a day in your life.” We’ve all heard it, right? It’s the ultimate career advice. But what if I told you that this popular mantra is complete bullshit? Yes, you read that right. Here’s why everything you’ve been told about passion is wrong—and what you should focus on … Read more
Recently, React has become one of the most beloved interface frameworks of all time. According to a 2023 survey, React.js is used by 40.58% of developers worldwide, making it one of the most popular web frameworks. Developed by Facebook, React.js is also relied upon by other tech giants such as PayPal, Uber, Instagram, and Airbnb … Read more
:::info Authors: (1) TIMNIT GEBRU, Black in AI; (2) JAMIE MORGENSTERN, University of Washington; (3) BRIANA VECCHIONE, Cornell University; (4) JENNIFER WORTMAN VAUGHAN, Microsoft Research; (5) HANNA WALLACH, Microsoft Research; (6) HAL DAUMÉ III, Microsoft Research; University of Maryland; (7) KATE CRAWFORD, Microsoft Research. ::: Table of Links 1 Introduction 1.1 Objectives 2 Development Process … Read more
:::info Authors: (1) TIMNIT GEBRU, Black in AI; (2) JAMIE MORGENSTERN, University of Washington; (3) BRIANA VECCHIONE, Cornell University; (4) JENNIFER WORTMAN VAUGHAN, Microsoft Research; (5) HANNA WALLACH, Microsoft Research; (6) HAL DAUMÉ III, Microsoft Research; University of Maryland; (7) KATE CRAWFORD, Microsoft Research. ::: Table of Links 1 Introduction 1.1 Objectives 2 Development Process … Read more
:::info Authors: (1) TIMNIT GEBRU, Black in AI; (2) JAMIE MORGENSTERN, University of Washington; (3) BRIANA VECCHIONE, Cornell University; (4) JENNIFER WORTMAN VAUGHAN, Microsoft Research; (5) HANNA WALLACH, Microsoft Research; (6) HAL DAUMÉ III, Microsoft Research; University of Maryland; (7) KATE CRAWFORD, Microsoft Research. ::: Table of Links 1 Introduction 1.1 Objectives 2 Development Process … Read more
:::info Authors: (1) TIMNIT GEBRU, Black in AI; (2) JAMIE MORGENSTERN, University of Washington; (3) BRIANA VECCHIONE, Cornell University; (4) JENNIFER WORTMAN VAUGHAN, Microsoft Research; (5) HANNA WALLACH, Microsoft Research; (6) HAL DAUMÉ III, Microsoft Research; University of Maryland; (7) KATE CRAWFORD, Microsoft Research. ::: Table of Links 1 Introduction 1.1 Objectives 2 Development Process … Read more
:::info Authors: (1) TIMNIT GEBRU, Black in AI; (2) JAMIE MORGENSTERN, University of Washington; (3) BRIANA VECCHIONE, Cornell University; (4) JENNIFER WORTMAN VAUGHAN, Microsoft Research; (5) HANNA WALLACH, Microsoft Research; (6) HAL DAUMÉ III, Microsoft Research; University of Maryland; (7) KATE CRAWFORD, Microsoft Research. ::: Table of Links 1 Introduction 1.1 Objectives 2 Development Process … Read more
:::info Authors: (1) TIMNIT GEBRU, Black in AI; (2) JAMIE MORGENSTERN, University of Washington; (3) BRIANA VECCHIONE, Cornell University; (4) JENNIFER WORTMAN VAUGHAN, Microsoft Research; (5) HANNA WALLACH, Microsoft Research; (6) HAL DAUMÉ III, Microsoft Research; University of Maryland; (7) KATE CRAWFORD, Microsoft Research. ::: Table of Links 1 Introduction 1.1 Objectives 2 Development Process … Read more
:::info Authors: (1) TIMNIT GEBRU, Black in AI; (2) JAMIE MORGENSTERN, University of Washington; (3) BRIANA VECCHIONE, Cornell University; (4) JENNIFER WORTMAN VAUGHAN, Microsoft Research; (5) HANNA WALLACH, Microsoft Research; (6) HAL DAUMÉ III, Microsoft Research; University of Maryland; (7) KATE CRAWFORD, Microsoft Research. ::: Table of Links Introduction Development Process Questions and Workflow Impact … Read more
:::info Authors: (1) TIMNIT GEBRU, Black in AI; (2) JAMIE MORGENSTERN, University of Washington; (3) BRIANA VECCHIONE, Cornell University; (4) JENNIFER WORTMAN VAUGHAN, Microsoft Research; (5) HANNA WALLACH, Microsoft Research; (6) HAL DAUMÉ III, Microsoft Research; University of Maryland; (7) KATE CRAWFORD, Microsoft Research. ::: Table of Links 1 Introduction 1.1 Objectives 2 Development Process … Read more
:::info Authors: (1) TIMNIT GEBRU, Black in AI; (2) JAMIE MORGENSTERN, University of Washington; (3) BRIANA VECCHIONE, Cornell University; (4) JENNIFER WORTMAN VAUGHAN, Microsoft Research; (5) HANNA WALLACH, Microsoft Research; (6) HAL DAUMÉ III, Microsoft Research; University of Maryland; (7) KATE CRAWFORD, Microsoft Research. ::: Table of Links 1 Introduction 1.1 Objectives 2 Development Process … Read more
Hi, I’m Aaron Sankin, and I’m a reporter here at The Markup. My beat is nominally the intersection of technology and inequality, but I’ve come to the conclusion that I’m actually a real estate reporter. A couple of years ago, I published an investigation into a piece of predictive policing software called PredPol. We (and … Read more