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Dec 12, 2022

Next Spaceflight

Posted by in category: space travel

Where are the alternatives to traditional Rocketry?


Next Spaceflight keeps you up to date with the latest in spaceflight with rocket launch schedules from SpaceX, NASA, ULA, ROSCOSMOS, and more.

Dec 12, 2022

Orbital Bombardment

Posted by in categories: energy, space

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They say you should always attack from the high ground, and there’s no higher ground than from orbit. Today we’ll examine orbital strikes, asteroid bombardment, kinetic weapons, dropships, and how to defend from them.

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Dec 12, 2022

Miniscule Sensing Suite is a Big Step Towards Robotic Gnats

Posted by in category: robotics/AI

An accelerometer, camera, and microprocessor make up the hardware of a sensing and autonomy system for tiny flying robots.

Sawyer B. Fuller

Dec 12, 2022

The Big Bang didn’t happen

Posted by in category: cosmology

Big Bang theory is widely accepted, it is still a theory and there is ongoing research & debate whether the Big Bang didn’t happen or not. Lets discuss in detail.

Dec 12, 2022

Latest AI Research From Intel Explains an Alternative Approach to Train Deep Learning Models for Fast-Paced Real World Use Cases, Across a Variety of Industries

Posted by in category: robotics/AI

Object detection means all the techniques and means for detecting, identifying, and classifying objects in an image. Recently, the field of artificial intelligence has seen many advances thanks to deep learning and image processing. It is now possible to recognize images or even find objects inside an image. With deep learning, object detection has become very popular with several families of models (R-CNN, YOLO, etc.). However, most of the existing methods in the literature adapt to the training database and fail to generalize when faced with images belonging to different domains.

Although most architectures are optimized for well-known benchmarks, significant results have been achieved using CNNs for tasks particular to a certain domain. However, these domain-specific solutions are often well-tuned for a specific target dataset, starting with carefully chosen architecture and training techniques. This method of training models has the drawback of unnecessarily adapting the approaches to a particular dataset. To address this issue, a research team from Intel offers a different strategy that also serves as the foundation of the Intel® Geti™ platform: a dataset-agnostic template for object detection training made up of carefully selected and pre-trained models and a reliable training pipeline for additional training.

The authors experimented with architectures in three categories: lightweight, extremely accurate, and medium, to develop a scope of the models used for the various object detection datasets regardless of complexity and object size. Pretrained weights are employed to reach model convergence quickly and begin with high accuracy. In addition, a data augmentation operation is performed to augment images with a random crop, horizontal flip, and brightness and color distortions. Multiscale training was applied for medium and accurate models to make them more robust. Additionally, to strike a balance between accuracy and complexity, the authors empirically selected particular resolutions for each model after conducting several trials. Early stopping and the adaptive ReduceOnPlateau scheduler are also used to end training if a few epochs of training do not further improve the outcome.

Dec 12, 2022

US scientists make major breakthrough in ‘limitless, zero-carbon’ fusion energy: report

Posted by in categories: government, nuclear energy

Government scientists have reportedly made a major breakthrough in fusion energy, producing more energy from the reaction than it…

Dec 12, 2022

A Compound That Reverses Gut Inflammation Developed

Posted by in category: biotech/medical

Summary: Researchers have developed a new compound, dubbed FexD, that can prevent and reverse inflammation in mouse models of inflammatory bowel disease.

Source: Salk Institute.

A drug developed by Salk Institute researchers acts like a master reset switch in the intestines. The compound, called FexD, has previously been found to lower cholesterol, burn fat, and ward off colorectal cancer in mice.

Dec 12, 2022

15 remarkable images from JWST’s first year in space

Posted by in category: space

History in the making.


The James Webb Space Telescope launched a year ago in December, kicking off a new era for astronomy. Here are the telescope’s most remarkable images from 2022.

Dec 12, 2022

This virtual reality headset allows you to kiss over long distances

Posted by in categories: futurism, innovation

At number 20 on IE’s 22 best innovations of 2022, we take a look back at this intimate invention.

Can you imagine kissing someone you love long distance? As sci-fi films have showcased this is one innovation that is desired by many. In May of 2022, Carnegie Mellon University’s Future Interfaces Group released a new invention that consists of a headset that can achieve just that.

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Dec 12, 2022

Asteroid sample mission reveals more about Earth’s mysterious origins

Posted by in categories: chemistry, space

Japan’s Hayabusa2 mission returned the sample to Earth in December 2020.

Japan’s asteroid mission Hayabusa2 returned a piece of the asteroid Ryugu to Earth almost two years ago now, and that sample is still revealing valuable insights into the history of the early solar system.

A study by a group of scientists from the Institut de Physique du Globe de Paris, Université Paris Cité and CNRS1 has just revealed the isotopic composition of zinc and copper of asteroid Ryugu, a press statement reveals.

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