Artificial intelligence is a massive global hub for innovation. Through the top-ranked companies all around the world, artificial intelligence is being introduced. For our overall betterment, there are a large number of companies. These are existing with a dedicated mindset to research on AI.
Deepmind Technologies
Co-founded by Demis Hassabis, an English company- Deepmind, is a leading AI research-based company right now. Founded in 2010, Deepmind Technologies has built a neural network. Learning the methods of how to play a video game just like a human is its first concern.
The network can able to reach an external memory is like a neural Turing machine. More precisely, it can simulate the memory of the human brain. Lately, Google acquired this company in 2014.
Along with the London-based operations, they have several research centers in Europe and North America. Besides, it converted to a part of Alphabet Inc in 2015.
The real impact of Deepmind
While working on the most complex and fascinating obstacles in AI, their world-class research has converted the efforts into several peer-reviewed papers. Deepmind has brought some significant insights through their research. They have detected how the world can save energy, several eye diseases, accelerate science, etc. They also give concerns to improve Google products indeed.
Let’s explore some of its top impacts across the globe.
Interpreting the protein folding
Proteins are complicated molecules. These vital particles have a unique 3D orientation that indicates how they operate. The biological processes depend on knowing the protein folding and structures.
To accelerate the process, Deepmind introduces AlphaFold that can predict the shape of proteins. In every step of biology, this research has brought a notable significance. As a result, it can tackle several diseases that push experts to release the required medicine shortly.
Quick detecting of eye diseases
Deepmind has collaborated with medicals to construct more quick ways to identify. Several people suffer due to age-related macular degeneration or diabetic issues. As a result, these can cause lasting sight loss if they do not go for treatment.
In this circumstance, AI can recommend more accurately than the world’s top experts for over more than 50 sight-threat eye diseases. Deepmind can also predict if a person can suffer from macular degeneration or not months before it happens.
Saves energy at Google scale
Thousands of servers, the data centers of Google contain. It powers services, such as Google Search, Google Mail, YouTube, etc. To keep these significant servers cool, these require a lot of electricity.
Besides, minor modifications also charge a high number of energy usage and carbon dioxide emanations. Deepmind has changed this energy loss by building an AI process that keeps the servers cooler. Also, for maintaining it more safely and making it reliable, AI can perform within severe confinements.
Conclusion
The mission is to develop a capable problem-solving process that is known as Artificial General Intelligence(AGI). This human intelligence can help the solution to fundamental scientific difficulties.
Besides, there were a few interests and popularity back in 2010 on AI. To gear up this field and accelerate the innovation level, Deepmind started an interdisciplinary strategy. New ideas in machine learning, natural language programming, neuroscience, computer infrastructure have put this company in a high position indeed.
The Review
Deepmind Technologies
The mission is to develop a capable problem-solving process that is known as Artificial General Intelligence(AGI). This human intelligence can help the solution to fundamental scientific difficulties. There were a few interests and popularity back in 2010 on AI. To gear up this field and accelerate the innovation level, Deepmind started an interdisciplinary strategy. New ideas in machine learning, natural language programming, neuroscience, computer infrastructure have put this company in a high position.
PROS
- Having artificial intelligence
- Differentiable neural computers
- Deep Q network
- Google collaboration
CONS
- Several projects are under observation
- Not a cost effective
