Singularity University

Big changes are coming to #Biotech Flexible nano-sized ribbons of plastic and peptides that can store energy, record digital information, and recharge like a battery could deepen the future of wearable technology and medical devices. While there has been significant progress in the development of wearable and implantable technology in recent years, most electronic materials are hard, rigid, and feature toxic metals. A variety of approaches for creating “soft electronics” has emerged, but finding ones that are durable, power-efficient, and easy to manufacture is a significant challenge. The researchers told Science that as well as being able to store energy or information in the material’s polarization, it’s also biocompatible. This means it could be used in everything from wearable devices that monitor vital signs to flexible implants that can replace pacemakers. The peptides could also be connected to proteins inside cells to record biological activity or even stimulate it.

How does Forstwissenschaft (tree science) connect to data management? At our October Executive Program, Tricia Wang shared her session "Beyond Numbers: Leveraging Big Data and Thick Data for Actionable Business Insight" discussing the unexpected bridge between the two. 🕰 We turned back the clock to Frederik the Great (1740-1786) who decided the most manageable way to increase timber would be creating mono-culture tree plantations. He believed that in uniformity was the path to control and productivity. Though initially promising with increased efficiency, manageability, and predictability, over time the timber yields actually decreased. Why? A diverse forrest has deeper roots and a richer microbiome. The mono-culture plantations had shorter roots, increased fire sensitivity, soil depletion, and weaker trees. 🌲 As leaders of our organizations, we're often looking for order and efficiency, but sometimes that can come at the cost of depth and complexity. Do you believe in order to master data, it must be measurable and homogenous? Are you recognizing the diversity in your own forrest? Lets' look at Nike as an example ⬇

Some lab experiments include hours and hours of mind-numbing prep and repetition. But what if scientists could simply tell a robot to do the experiments, analyze the data, and generate a report? Enter Organa, a benchtop robotic system devised by researchers at the University of Toronto that can perform chemistry experiments. “That’s going to save a lot of our highly trained scientists time that they can use to focus on thinking about the scientific problem, not doing these routine tasks in the lab.” Organa’s first task was an experiment with 19 parallel steps, including routine chemistry steps and a tedious electrode-precleaning step, which takes up to six hours. It completed the experiment in about the same amount of time it would take a human—and with comparable results. Though Organa’s most sophisticated feature is perhaps its ability to provide feedback on generated data. “We were surprised to find that this visual language model can spot outliers on chemistry graphs,” explains Shkurti. The system also flags these ambiguities or uncertainties and suggests methods of troubleshooting. Most automated lab equipment is not easily customizable or reprogrammable. Even if they were, they would require the chemists to have programming skills. But with Organa, scientists can simply convey their experiments through speech. Original article: Kristel Tjandra | MIT Technology Review Featured on This Week’s Awesome Tech Stories From Around the Web (Through October 19)

Dermot Mee has a unique gift for understanding each individual's strengths and aspirations, using this insight to create opportunities that align personal growth with organizational success. He doesn't just see people for who they are today, but for who they can become tomorrow. These are some valuable perspectives enriching today's professional communities and helping shape the next generation of organizational leaders.

The world's largest Taxi company owns no vehicles Uber The world's largest hospitality company owns no real estate Airbnb The world's largest media company creates no content Meta What will be next?

"Data shows that diverse and inclusive teams perform better and are more innovative. Companies that score high in gender diversity on executive teams are 25% more likely to have above-average profitability. When companies have more than 30% women executives, they are more likely to outperform companies that only have between 10-30%. Overall, teams that are gender-diverse are better at making business decisions 73% of the time. However, companies are still falling short in creating equal representation internally to reflect the diverse world." Unstoppable Women of Web3 So proud to celebrate the incredible women in our Singularity ecosystem inspiring progress in technology today! 👏 Nyari Samushonga Karine Arama Alix Rübsaam Jos Dirkx Lisa Loud Cathy Hackl Sandy Carter Barbara Silva T #SusaSummit2024 #futureproofAfrica #womenintech SingularityU South Africa

Humans are being removed from the job application process. Are you manually applying to jobs or using AI to speed up the process? Are human beings actually reading your cover letters, or are companies using AI to narrow the application pool? This is Auto_Jobs_Applier_AIHawk, which is currently “trending” on GitHub and is one of the most popular new projects there. It is actively being used by thousands of people to use AI to automatically apply for jobs on LinkedIn at scale. It is essentially a Python program that navigates LinkedIn and uses an LLM (OpenAI’s GPT products and Gemini both work) to generate custom cover letters and resumes based on a series of biographical details that a user codes into a script and tweaks them as necessary based on the job description and other information that the company has put on LinkedIn. A few hiccups... Unless you're paying close attention while it’s running or unless you look up what specific calls it made to OpenAI’s API after the fact, you do not know exactly what the bot is telling companies about you, which could prove difficult if you ever get an interview with any of them. The bot will also sometimes send wrong personal information, or answer yes-or-no questions with overindulgent paragraphs. But if you're playing the numbers game, this may be a beneficial experiment. Original article: Jason Koebler | 404 Media Featured on This Week’s Awesome Tech Stories From Around the Web (Through October 12) Read the full article: https://lnkd.in/e_nUmEre

"The early bird gets the worm, but the second mouse gets the cheese" Is it better to be first or second to market? Let us know your thoughts.

"Great minds think alike, but..." are you able to finish the quote? Agreeing on something doesn’t mean it’s right. It perhaps shouldn’t be surprising that identical copies of a model quickly form a consensus, but there’s a good chance that the solution they settle on won’t be optimal. The results suggest that larger AI models could potentially collaborate at scales far beyond humans, Dunbar told New Scientist. “It certainly looks promising that they could get together a group of different opinions and come to a consensus much faster than we could do, and with a bigger group of opinions,” he said.

Now you know why people look to Singularity University and Abundance360 to see the future. Ray Kurzweil and Peter H. Diamandis knew in 2008 when they founded SU that exponential technologies were already changing the world and the pace of change was accelerating. Thus entrepreneurs were starting companies that would change the world. This thesis could not be more true today. Whither you like it or not AI is just the latest example of exponential technological change. If we have ever spoken you know how passionate I am about harnessing this power for good. Today, those who are suffering from the world's greatest ills can be part of the solutions and help economic development in their own communities, e.g. Brainy Swaibu. Please support these amazing people.