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Higgs Boson Particle (God Particle) Explained - Science Feed

Higgs Boson Particle or God Particle is the elementary particle in the Standard Model of the Particle Physics. The elementary particles in the Particle Physics are called as the excitation in the Higgs Field due to which they gain masses.  Higgs Field and Higgs Boson Particle was first proposed by Peter Higgs and more scientists in 1964. In 2012, it was confirmed by CERN where they did the experiment of ATLAS and CMS. In this experiment, two atoms were smashed inside the Large Hadron Collider and was observed that for a very short period of time, a particle was detected which existed for short and then further got divided into more particles.  This was the first confirmation of Higgs Boson Particle and lated called God Particle. Earlier, it was proposed that the Higgs Field is everywhere and the particle is a wave in a field. Now, the particle that interacts more with the Higgs Field, more it gets the mass.  Photons are called to be the least interacting with the Higgs Fi...
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What are LLMs (Large Language Models) ? - Science Feed

LLMs are large language models which are kind of deep learning models where it predicts single token or sequence of token that are relatable to each other. A token can be a word, a subword or a character.  These are built on a type of neural network architecture called transformers. Currently, ChatGPT, Gemini, Perplexity etc. all are based on it. These transformers are very large in size because of parameters billions in size. It uses encoders and decoders. Transformers use self-attention techniques where self is for input sequence and self-attention weighs the relation between tokens in the input sequence.  Training and Fine-tuning are other factors that contribute to better working of LLMs. NLPs (Natural Language Processing) are also important for the LLMs.  Issues with LLMs LLMs have issue of hallucinating, biases and using a lot of computational and energy resources. AI companies are massively using these which are creating shortage for common people.  Popular LL...

How Agentic AI is changing your life - Science Feed

 You have been using AI for long period for solving problems. Now, it is getting specialized in use cases.  The type of AI which has a special use case with no need of supervision where it can do the tasks on its own. That is called your Agentic AI. This has been built on the base of generative AI to work in dynamic environment.  The key concepts that Agentic AI uses are Perception, Reasoning, Planning, Action, Reflection, Orchestration etc.  The best advantage we get are autonomous working, pro-activeness, specialization, adaptability and intuition.  You can say in autonomous cars, it uses real time data for path planning and navigation. Answering to customers 24 hours without failure.  There has been a lot of research going over this topic.  For more, Follow and subscribe us. 

What is Dark Energy? - Science Feed

There are different forms of energy. But, there has been speculation of an hidden form of energy that has been kind of hiding from us which constitutes a large part of our universe.  The universe has been found to be expanding faster than the speed of light. The traditional form of energy that we have found has been to be not able to provide that much of push. So, there must be something. This type of energy is called Dark Energy. Dark Energy is that form of energy that is not understood by us but it is fundamental in nature and drives the process of the universe. In Theory of General Relativity, there is concept of cosmological constant which says there is a negative of gravitation or empty space that is all over the interstellar space.  The researchers of DES and others have found that the universe is expanding not alone of known form of energy but some mysterious form of it. This is also related to Big Bang. Dark energy is told to be constituent of 68 to 70% of total univer...

How Colossal Bioscience is bringing back extinct animals - Science Feed

Colossal Biosciences is a biotechnology and genetic engineering company that works on de-extinction of animals lost long ago. This company has got success at revival of Dire Wolf and Woolly Mouse. The company seeks to revive the important species like Mammoth, Dodo, Tasmanian Tiger and many more. The company was founded on September 13, 2021.  The one of the most successful project has been of Dire Wolf. For the first time in entire human history, they created three dire wolf pups named as Khaleesi, Romulus and Remus. The growth timeline is as follows: Neonatal, Transitional, Socialization, Ranking, Adolescence and Adult. Currently, age of Romulus and Remus is of 6 months and Khaleesi is of 3 months.  Colossal used the advanced multiplex gene editing technology for this. Their team successfully introduced gene edits at 20 loci and 14 genes. This was done for gene restoration. The team found LCORL (Ligand Dependent Nuclear Receptor Corepressor Like) in canids which was di...

How are LIDARs changing field of Robotics - Science Feed

In the field of robotics, there is crucial role of sensors out of which the LIDARs (Light Detection and Ranging Sensors) are very important.  LIDAR sensors send the light and detects back the reflected light from any object to estimate how much far away the object is based on the calculations. Laser is used as primary light source as it can bounce back on most surfaces. These are used to make maps of the area where the robot will move around for navigation.  There are different kinds of LIDAR sensors like 1D LIDARs, 2D LIDARs, 3D LIDARs and even 4D LIDARs.  1D LIDARs are most basic type of it because these emit laser in one direction at a time and a point for point cloud is created. A point cloud is a group of large number of points that create map of the area. 1D LIDAR then moves in other direction and make different point after that.  2D LIDARs are the better version of 1D LIDARs as if you are rotating the 1D LIDAR in continuous rotation to project it in a circular...

How does a NPU, Neural Processing Unit, works? - Science Feed

A NPU (Neural Processing Unit), also knows as AI accelerator, is a computing unit specially designed for the running artificial intelligence and machine learning models efficiently and effectively on a single motherboard with other computing units.  There has been significant rise in the use of NPUs in personal devices like smartphones, laptops, PCs etc. to do personalized recommendations and offline AI processing.  NPUs are capable of parallel processing, low precision arithmetic, hardware acceleration.  These have silicon architecture to kind of simulate the human brain working like human where instruction set of AI efficiently ran. NPUs are not for computing traditional problems as it lacks important physical capabilities. Because of these, AI systems are able to learn faster without wasting time and energy. The parallel computation feature give wings to matrix operations ease, activation functions of neural networks, dot product.  NPUs have got dedicated compute ...