Hackernoon

The intensity of a combatives training dojo seems like a far cry from the sleek conference rooms of corporate leadership, but Chris Harris sees them as two sides of the same coin. “Pressure, adversity, high stakes—whether you’re training in elite combatives or closing a multi-million dollar deal, the core principles remain unchanged,” he explains. Chris … Read more

What if the research guiding your biggest decisions was flawed—outdated, incomplete, or biased? In today’s fast-moving world, enterprises rely on market insights, track competitors’ websites, and forecast trends to stay ahead. But traditional research methods are slow, manual, and riddled with inefficiencies—leading to missed opportunities, costly mistakes, and reactive decision-making. Takahiro Morinaga and Gagandeep Tomar … Read more

Table of Links Abstract and 1 Introduction 1.1 Related literature Types of Metrics and Their Hypothesis and 2.1 Types of metrics 2.2 Hypotheses for different types of metrics Type I and Type II Error Rates for Decision Rules including Superiority and Non-Inferiority Tests 3.1 The composite hypotheses of superiority and non-inferiority tests 3.2 Bounding the … Read more

Bahamut announces onsite hackathon during the Paris Blockchain Week 2025, taking place on April 5th and 6th. At the event, developers will have the opportunity to build on Bahamut’s Layer 1 blockchain, powered by the innovative Proof of Stake and Activity (PoSA) consensus mechanism. The upcoming PoSA merge, set to take place on April 8, … Read more

Table of Links Abstract and 1 Introduction 1.1 Related literature Types of Metrics and Their Hypothesis and 2.1 Types of metrics 2.2 Hypotheses for different types of metrics Type I and Type II Error Rates for Decision Rules including Superiority and Non-Inferiority Tests 3.1 The composite hypotheses of superiority and non-inferiority tests 3.2 Bounding the … Read more

:::info Authors: (1) Simone Silvestri, Massachusetts Institute of Technology, Cambridge, MA, USA; (2) Gregory Wagner, Massachusetts Institute of Technology, Cambridge, MA, USA; (3) Christopher Hill, Massachusetts Institute of Technology, Cambridge, MA, USA; (4) Matin Raayai Ardakani, Northeastern University, Boston, MA, USA; (5) Johannes Blaschke, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; (6) Valentin Churavy, Massachusetts … Read more

:::info Authors: (1) Simone Silvestri, Massachusetts Institute of Technology, Cambridge, MA, USA; (2) Gregory Wagner, Massachusetts Institute of Technology, Cambridge, MA, USA; (3) Christopher Hill, Massachusetts Institute of Technology, Cambridge, MA, USA; (4) Matin Raayai Ardakani, Northeastern University, Boston, MA, USA; (5) Johannes Blaschke, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; (6) Valentin Churavy, Massachusetts … Read more

:::info Authors: (1) Simone Silvestri, Massachusetts Institute of Technology, Cambridge, MA, USA; (2) Gregory Wagner, Massachusetts Institute of Technology, Cambridge, MA, USA; (3) Christopher Hill, Massachusetts Institute of Technology, Cambridge, MA, USA; (4) Matin Raayai Ardakani, Northeastern University, Boston, MA, USA; (5) Johannes Blaschke, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; (6) Valentin Churavy, Massachusetts … Read more

:::info Authors: (1) Simone Silvestri, Massachusetts Institute of Technology, Cambridge, MA, USA; (2) Gregory Wagner, Massachusetts Institute of Technology, Cambridge, MA, USA; (3) Christopher Hill, Massachusetts Institute of Technology, Cambridge, MA, USA; (4) Matin Raayai Ardakani, Northeastern University, Boston, MA, USA; (5) Johannes Blaschke, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; (6) Valentin Churavy, Massachusetts … Read more

:::info Authors: (1) Simone Silvestri, Massachusetts Institute of Technology, Cambridge, MA, USA; (2) Gregory Wagner, Massachusetts Institute of Technology, Cambridge, MA, USA; (3) Christopher Hill, Massachusetts Institute of Technology, Cambridge, MA, USA; (4) Matin Raayai Ardakani, Northeastern University, Boston, MA, USA; (5) Johannes Blaschke, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; (6) Valentin Churavy, Massachusetts … Read more

:::info Authors: (1) Smaran Deshmukh, Email: smarandeshmukh@gmail.com; (2) Jayant Murthy, Indian Institute of Astrophysics, Bangalore 506034, India (murthy@iiap.res.in). ::: Table of Links Abstract and 1 Introduction 2. Summary of the Story 3. Observables 4. Possible Scenarios and Consequences The other Suns Simulation Conclusion and References SIMULATION We have written a program computer program that simulates … Read more

:::info Authors: (1) Smaran Deshmukh, Email: smarandeshmukh@gmail.com; (2) Jayant Murthy, Indian Institute of Astrophysics, Bangalore 506034, India (murthy@iiap.res.in). ::: Table of Links Abstract and 1 Introduction 2. Summary of the Story 3. Observables 4. Possible Scenarios and Consequences The other Suns Simulation Conclusion and References 4. POSSIBLE SCENARIOS AND CONSEQUENCES The most important constraint is … Read more

:::info Authors: (1) Smaran Deshmukh, Email: smarandeshmukh@gmail.com; (2) Jayant Murthy, Indian Institute of Astrophysics, Bangalore 506034, India (murthy@iiap.res.in). ::: Table of Links Abstract and 1 Introduction 2. Summary of the Story 3. Observables 4. Possible Scenarios and Consequences The other Suns Simulation Conclusion and References ABSTRACT We investigate the imaginary world of Kalgash, a planetary … Read more

Your entire life will change when you realize this simple truth: Success is just survival with better storytelling. Let me say that one more time. Success is just survival with better storytelling. I’ve spent the last 6 years studying the most “successful” people on the planet. I’ve gone deep into their content, analyzed their businesses, … Read more

How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## AutoResponder AI: The Smart Way to Manage Your Gmail Inbox By @dineshbesiahgari [ 17 Min read ] AutoResponder AI automates email … Read more

What do you need when arguing online? Logic? Reason? A rock-solid grasp of the facts? Yeah, no. See, I used to think that if you came armed with airtight arguments and a well-researched arsenal of evidence, you’d automatically win. That people would read your points, have a little moment of self-reflection, and say, “Duy, I … Read more

Table of Links Abstract and 1 Introduction 1.1 Related literature Types of Metrics and Their Hypothesis and 2.1 Types of metrics 2.2 Hypotheses for different types of metrics Type I and Type II Error Rates for Decision Rules including Superiority and Non-Inferiority Tests 3.1 The composite hypotheses of superiority and non-inferiority tests 3.2 Bounding the … Read more

Table of Links Abstract and 1 Introduction 1.1 Related literature Types of Metrics and Their Hypothesis and 2.1 Types of metrics 2.2 Hypotheses for different types of metrics Type I and Type II Error Rates for Decision Rules including Superiority and Non-Inferiority Tests 3.1 The composite hypotheses of superiority and non-inferiority tests 3.2 Bounding the … Read more

Table of Links Abstract and 1 Introduction 1.1 Related literature Types of Metrics and Their Hypothesis and 2.1 Types of metrics 2.2 Hypotheses for different types of metrics Type I and Type II Error Rates for Decision Rules including Superiority and Non-Inferiority Tests 3.1 The composite hypotheses of superiority and non-inferiority tests 3.2 Bounding the … Read more

Table of Links Abstract and 1 Introduction 1.1 Related literature Types of Metrics and Their Hypothesis and 2.1 Types of metrics 2.2 Hypotheses for different types of metrics Type I and Type II Error Rates for Decision Rules including Superiority and Non-Inferiority Tests 3.1 The composite hypotheses of superiority and non-inferiority tests 3.2 Bounding the … Read more

Table of Links Abstract and 1 Introduction 1.1 Related literature Types of Metrics and Their Hypothesis and 2.1 Types of metrics 2.2 Hypotheses for different types of metrics Type I and Type II Error Rates for Decision Rules including Superiority and Non-Inferiority Tests 3.1 The composite hypotheses of superiority and non-inferiority tests 3.2 Bounding the … Read more

Table of Links Abstract and 1 Introduction 1.1 Related literature Types of Metrics and Their Hypothesis and 2.1 Types of metrics 2.2 Hypotheses for different types of metrics Type I and Type II Error Rates for Decision Rules including Superiority and Non-Inferiority Tests 3.1 The composite hypotheses of superiority and non-inferiority tests 3.2 Bounding the … Read more

:::info Authors: (1) Mårten Schultzberg, Experimentation Platform team, Spotify, Stockholm, Sweden; (2) Sebastian Ankargren, Experimentation Platform team, Spotify, Stockholm, Sweden; (3) Mattias Frånberg, Experimentation Platform team, Spotify, Stockholm, Sweden. ::: Table of Links Abstract and 1 Introduction 1.1 Related literature Types of Metrics and Their Hypothesis and 2.1 Types of metrics 2.2 Hypotheses for different … Read more

About the LevelUp series: At The Markup, we’re committed to doing everything we can to protect our readers from digital harm, write about the processes we develop, and share our work. We’re constantly working on improving digital security, respecting reader privacy, creating ethical and responsible user experiences, and making sure our site and tools are … Read more

Less than a month ago, our team came upon a challenge that sounded deceptively simple. The task at hand was to create a dashboard that monitored transactions in real time for a particular financial platform we maintained. In principle, it was straightforward – Event data would be put into DynamoDB, and OpenSearch would be used … Read more

Update: This one is worth reading; as the information ecosystem shifts every year, I find new tools and hacks for learning and retaining more of what I learn while reducing distraction. For example, I’ve become very intolerant of annoying, time-wasting midroll ads; I’ve got some hacks for blocking them in this updated article. I’m an information-aholic. … Read more

In an era where global supply chains face unprecedented challenges, the remarkable transformation of Johnson Controls International’s (JCI) supply chain operations stands as a testament to exceptional solution architecture and operational excellence. Under the leadership of SCM Solution Architect Vijayanand Balasubramaniam, this ambitious digital transformation initiative has set new benchmarks for efficiency, customer satisfaction, and … Read more

How are you, hacker? 🪐 What’s happening in tech today, March 30, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, Census Bureau Receives UNIVAC I Computer in 1951, and we present you with these top quality stories. From One Month Left to Win Your Share of 15,000 USDT … Read more

In an industry where data management challenges continue to multiply exponentially, the Insurance Data Warehouse project stands as a remarkable achievement in modern cloud architecture implementation. Under the expert guidance of Khushmeet Singh, a Snow Pro Certified Solutions Architect, this comprehensive Snowflake-based data warehouse has redefined how insurance companies manage, analyze, and leverage their most … Read more