If you are a part of the IT industry, then you have most definitely considered starting up on your own. And there is nothing wrong in it. They are one of the best ways to start a business and the entrepreneurial journey.
While the most recognized facet of the IT industry is software, of late, people are interested in hardware as well – thanks to the information revolution in part. Thanks to everyone wanting the best for themselves, the opportunity for smart entrepreneurs to provide solutions is ripe. A startup has recently launched the best gaming headset out there.
A fact that has to be acknowledged is that hardware startups take some more time and effort to settle into a profitable rhythm. But if you take a look at the following successful hardware startups, it will be motivating enough for you to stay focused and get that desired name.
Here is a look at some of the best and successful hardware startups:
Everyone one knows what a Fitbit is. You must be wearing one now too! The company was founded in 2007 by James Park and Eric Friedman and has its headquarters in San Francisco. Its first product was the Fitbit Tracker.
Its product array includes activity-tracking devices with wireless capabilities. The device measures the number of footsteps, steps climbed,quality of sleep, and other personal fitness metrics.
Virtual Reality is the thing of the present and future. And Oculus is a Virtual Reality technology company. A highly successful startup, this one was acquired by Facebook, even before the completion of its first product.
Founded in 2012, by Palmer Luckey, their best known virtual reality product is the Oculus Rift.
Founded in 2010, by former Apple engineers Tony Fadell and Matt Rogers, this startup is a highly successful startup. Nest Labs produces various home automation products such as remote video monitoring systems, smart thermostats, smoke and carbon dioxide detectors etc. These products are programmable and sensor driven.
This is startup which makes action cameras. In tune with the latest technologies, these cameras are used in extreme-action videography as well as in drones. All the products that this startup has developed are highly successful, garnering good revenues to the company. This was founded by Nick Woodman in 2002.
Like Virtual reality, wearable technology is also the future. Jaw Bone develops wearable devices and products such as wristbands, and portable audio devices, wireless speakers, Bluetooth headsets etc.
It was founded in 1999 by Alexander Asseilyand Hosain Rahman. It has expanded substantially and acquired BodyMedia, a company that makes wearable health tracking devices to monitor health.
This company was founded in 2012 and is a Cambridge, Massachusetts-based startup. It is thedeveloper of social robots for homes. Marketed as a family robot, which is wired differently, Jibo is a friendly, helpful and intelligent family robot.
Pebble Technology Corporation developssmartwatches. This company had a good Kickstarter campaign. They have made great revenues with all their products.
Finally, there are innumerable hardware startups that have been ahuge success, like the few ones mentioned above. Even though the lion’s share of attention goes to software startups, hardware startups also do not lag behind.
– Ant colony optimization
– Artificial immune systems
– Coevolutionary systems
– Cultural algorithms
– Differential evolution
– Estimation of distribution algorithms
– Evolutionary programming
– Evolution strategies
– Genetic algorithms
– Genetic programming
– Heuristics, metaheuristics and hyper-heuristics
– Interactive evolutionary computation
– Learning classifier systems
– Memetic, multi-meme and hybrid algorithms
– Molecular and quantum computing
– Multi-objective evolutionary algorithms
– Parallel and distributed algorithms
– Particle swarm optimization
Theory and Implementation
– Adaptive dynamic programming and reinforcement learning
– Coevolution and collective behavior
– Convergence, scalability and complexity analysis
– Evolutionary computation theory
– Representation and operators
– Self-adaptation in evolutionary computation
– Numerical optimization
– Discrete and combinatorial optimization
– Multiobjective optimization
Handling of Various Aspects
– Constraint handling
– Dynamic and uncertain environments
– Meta-modeling and surrogate models
– Evolutionary simulation-based optimization
– Preference handling
– Large-scale problems
Hybrid Systems of Computational Intelligence
– Evolved neural networks
– Evolutionary fuzzy systems
– Evolved neuro-fuzzy systems
Related Areas and Applications
– Art and music
– Artificial ecology and artificial life
– Autonomous mental and behavior development
– Biometrics, bioinformatics and biomedical applications
– Classification, clustering and data analysis
– Data mining
– Defense and cyber security
– Evolutionary games and multi-agent systems
– Evolvable hardware and software
– Evolutionary Robotics
– Engineering applications
– Emergent technologies
– Finance and economics
– Intelligent systems applications
– Real-world applications