Tree (graph theory)

Fossil beetles found in a Botswana diamond mine help us to reconstruct the distant past

Retrieved on: 
Wednesday, April 10, 2024

One of the few Cretaceous age deposits that’s been discovered in Africa is at Botswana’s Orapa Diamond Mine.

Key Points: 
  • One of the few Cretaceous age deposits that’s been discovered in Africa is at Botswana’s Orapa Diamond Mine.
  • Recently a team I lead discovered two new species of rove beetles preserved in the sediments of the Orapa Diamond Mine.
  • Rove beetles are typically identified by their unique short elytra (protective wing cases) which expose the rest of the abdomen.
  • Our finds are the first fossil rove beetles ever discovered on the continent and in the southern hemisphere.
  • The fossils closely resemble today’s rove beetles, showing how successful they’ve been in adapting to various environments without significant changes to their bodies.

Identifying the fossils

  • We found the fossils in lacustrine sediments (deposits that accumulate in lake environments).
  • Afristenus orapensis belongs to the stenine rove beetle subgroup while Paleothius mckayi belongs to the subgroup staphylinine.
  • The stenine rove beetle was previously described in Russia, France and Myanmar while the staphylinine rove beetle was previously described in Russia, China, Myanmar and England.
  • So we scoured research articles about fossils of a similar age that have already been studied elsewhere for comparative purposes.

More to find

  • We are currently studying each specimen and preparing academic manuscripts that describe what we’ve found.
  • My hope is that more money will be invested in training more palaeoentomologists in South Africa and on the continent more broadly.
  • The study of fossil insects and plants is an important way to preserve our beloved continent’s heritage.


Sandiso Mnguni receives funding from GENUS (Centre of Excellence in Palaeosciences - UID 86073). He is affiliated with the Sophumelela Youth Development Programme (SYDP).

PLASTARC Data Informs WPAC's 11th Annual Case Competition

Retrieved on: 
Wednesday, March 27, 2024

PHILADELPHIA, March 27, 2024 /PRNewswire-PRWeb/ -- Organizers of the 2024 Wharton People Analytics Conference (WPAC) invited PLASTARC, a New York-based employee experience consultancy, to design and adjudicate its 11th Annual Case Competition, which awards $25,000 in prize money thanks to the generosity of Wharton alumnus, Prasad Setty. Held March 14-15 at the Wharton School of the University of Pennsylvania, WPAC 2024 featured an impressive lineup of thought leaders, such as Angela Duckworth, Adam Grant, Mary Murphy, and Danny Meyer. The two-day conference offered an exceptional opportunity for nearly 300 registrants to exchange ideas on a more holistic, vibrant vision for the future of work.

Key Points: 
  • Employee experience firm PLASTARC works to design and adjudicate the Wharton People Analytics Conference's 11th Annual Case Competition.
  • Using original qualitative and quantitative survey data, the competition gave way to various groundbreaking, data-based approaches to flexible workplaces and policies.
  • PHILADELPHIA, March 27, 2024 /PRNewswire-PRWeb/ -- Organizers of the 2024 Wharton People Analytics Conference (WPAC) invited PLASTARC , a New York-based employee experience consultancy, to design and adjudicate its 11th Annual Case Competition , which awards $25,000 in prize money thanks to the generosity of Wharton alumnus, Prasad Setty.
  • The student submissions to WPAC's 11th Annual Case Competition highlight the importance of behavioral data in fostering healthier, happier, more productive workplaces.

China's 01.AI Launches Top-Performing Vector Database "Descartes" for LLM

Retrieved on: 
Monday, March 11, 2024

01.AI's vector database, named "Descartes," has topped the rankings in six data set evaluations on the mainstream ANN-Benchmarks.

Key Points: 
  • 01.AI's vector database, named "Descartes," has topped the rankings in six data set evaluations on the mainstream ANN-Benchmarks.
  • In the Large Language Model (LLM) technology stack, a vector database is an important component in connecting external information with LLMs.
  • Currently, the focus of 01.AI's Descartes Vector Database is on high-performance vector databases.
  • The new vector database capabilities will be effectively applied in the company's AI productivity consumer product launching soon.

Droplet-based Whole Genome Amplification: Successfully Sequencing Minute Amounts of Mycobacterium Tuberculosis DNA, Upcoming Webinar Hosted by Xtalks

Retrieved on: 
Wednesday, February 28, 2024

TORONTO, Feb. 28, 2024 /PRNewswire-PRWeb/ -- Whole genome sequencing (WGS) is crucial for tuberculosis (TB) surveillance, but its implementation in patient care is hindered by the limited amount of Mycobacterium tuberculosis (Mtb) in clinical specimens and the slow growth of Mtb.

Key Points: 
  • In this free webinar, delve into the significance of whole genome sequencing (WGS) in advancing tuberculosis (TB) surveillance.
  • Attendees will learn how droplet-based multiple displacement amplification (dMDA) coupled with WGS helped successfully sequence minute amounts of Mtb DNA.
  • The control and 5 pg input dMDA samples underwent nanopore sequencing and were analysed using nanorate sequencing (Nanoseq) and TB-profiler.
  • Register for this webinar today to gain insights into how dMDA amplification coupled with whole genome sequencing helped successfully sequence minute amounts of Mtb DNA.

MicroAlgo Inc. Announced Bitcoin Trading Prediction Algorithm Based on Machine Learning and Technical Indicators

Retrieved on: 
Tuesday, December 26, 2023

BEIJING, Dec. 26, 2023 /PRNewswire/ -- MicroAlgo Inc. (NASDAQ: MLGO) (the "Company" or "MicroAlgo"), today announced a Bitcoin trading prediction algorithm based on machine learning and technical indicators.

Key Points: 
  • BEIJING, Dec. 26, 2023 /PRNewswire/ -- MicroAlgo Inc. (NASDAQ: MLGO) (the "Company" or "MicroAlgo"), today announced a Bitcoin trading prediction algorithm based on machine learning and technical indicators.
  • MicroAlgo Inc.'s Bitcoin trading prediction algorithm based on machine learning and technical indicators utilizes a large amount of market data to train a model to predict the future movement of the Bitcoin price.
  • MicroAlgo Inc.'s Bitcoin trading prediction algorithm based on machine learning and technical indicators plays a crucial role in the construction of the technical foundation with data processing and feature engineering.
  • By incorporating machine learning models, technical indicator analysis, and advanced quantitative trading strategies, a Bitcoin trading prediction algorithm based on machine learning and technical indicators from MicroAlgo Inc. has demonstrated superior performance on historical data.

WiMi Announced Big Data Intelligent Decision-making System Based on Machine Learning and Situational Awareness

Retrieved on: 
Thursday, November 30, 2023

Machine learning and situational awareness are areas that have developed rapidly in recent years, enabling them to learn from data, recognize it, and respond accordingly to the current context.

Key Points: 
  • Machine learning and situational awareness are areas that have developed rapidly in recent years, enabling them to learn from data, recognize it, and respond accordingly to the current context.
  • In WiMi's big data intelligent decision-making system based on machine learning and situational awareness, data acquisition and pre-processing is a very important step, which involves collecting data from various data sources and cleansing and transforming them so that the subsequent analysis and decision-making process can yield accurate and reliable results.
  • In the big data intelligent decision-making system based on machine learning and situational awareness, the design and implementation of the situational awareness algorithm plays a crucial role.
  • Data collection and pre-processing: First the system needs to collect various decision-related data, including sensor data, web data, social media data, etc.

Launch of Altair® RapidMiner® 2023 Platform Delivers Next-Generation Generative AI Capabilities

Retrieved on: 
Tuesday, November 28, 2023

TROY, Mich., Nov. 28, 2023 /PRNewswire/ -- Altair (Nasdaq: ALTR), a global leader in computational science and artificial intelligence (AI) announced that Altair® RapidMiner®, its data analytics and AI platform, is becoming more integrated, more powerful, and easier to use thanks to a new series of groundbreaking updates.

Key Points: 
  • Solutions in the Altair RapidMiner ecosystem with AI embedded now deliver generative AI capabilities, allowing users to simplify their workflow design and build unique versions of large language models (LLMs) like ChatGPT using their own data.
  • For example, a global enterprise can create a version of ChatGPT fine-tuned to their nomenclature, product universe, applications, and clients.
  • The Altair RapidMiner platform also utilizes ChatGPT's new API so users can enable further customization without needing to write any code.
  • To learn more about Altair's data analytics and AI capabilities, visit https://altair.com/data-analytics .

Launch of Altair® RapidMiner® 2023 Platform Delivers Next-Generation Generative AI Capabilities

Retrieved on: 
Tuesday, November 28, 2023

TROY, Mich., Nov. 28, 2023 /PRNewswire/ -- Altair (Nasdaq: ALTR), a global leader in computational science and artificial intelligence (AI) announced that Altair® RapidMiner®, its data analytics and AI platform, is becoming more integrated, more powerful, and easier to use thanks to a new series of groundbreaking updates.

Key Points: 
  • Solutions in the Altair RapidMiner ecosystem with AI embedded now deliver generative AI capabilities, allowing users to simplify their workflow design and build unique versions of large language models (LLMs) like ChatGPT using their own data.
  • For example, a global enterprise can create a version of ChatGPT fine-tuned to their nomenclature, product universe, applications, and clients.
  • The Altair RapidMiner platform also utilizes ChatGPT's new API so users can enable further customization without needing to write any code.
  • To learn more about Altair's data analytics and AI capabilities, visit https://altair.com/data-analytics .

Eighteenth edition of Fujio Cup Quiz won by Kasturba Medical College, India in the NCRM NICHE 2023 international stem cell meeting.

Retrieved on: 
Wednesday, October 18, 2023

This press release features multimedia.

Key Points: 
  • This press release features multimedia.
  • Winners and finalists of Fujio Cup Quiz (FCQ), the “FCQ Elites” are qualified to nominate the candidates for the Edogawa NICHE Prize.
  • The inaugural prize in 2018 was awarded to Prof. James E. Till for discovery of stem cells, jointly with Prof. Ernest McCulloch.
  • NCRM NICHE team is progressing in research on implications of microgravity, synthetic chemical concoctions, and biological response modifiers, on cellular senescence and immune modulation to develop solutions, especially for rare diseases and unmet needs.

WiMi Proposed Multi-View Fusion Algorithm Based on Artificial Intelligence Machine Learning

Retrieved on: 
Thursday, October 19, 2023

BEIJING, Oct. 19, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that its R&D team applied machine learning algorithms to image fusion and introduced a multi-view fusion algorithm based on artificial intelligence machine learning.

Key Points: 
  • BEIJING, Oct. 19, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that its R&D team applied machine learning algorithms to image fusion and introduced a multi-view fusion algorithm based on artificial intelligence machine learning.
  • Multi-view fusion algorithm based on artificial intelligence machine learning is algorithm that utilize machine learning technique for joint learning and fusion of multiple views obtained from different viewpoints or information sources.
  • Multi-view fusion algorithm studied by WiMi usually include steps such as data pre-processing, multi-view fusion, feature learning, model training and prediction.
  • Multi-view fusion algorithm based on artificial intelligence machine learning have technical advantages such as data richness, information complementarity, model fusion capability, and adaptivity, which make multi-view algorithm has great potential and application value in dealing with complex problems and multi-source data analysis.