Greg Fisher is about hardware innovation. Since founder/CEO of Berkeley Sourcing Group, Greg has spent the last 13 years working with over 1000 hardware startups to develop and manufacture innovative products. Living in China one third of that moment he worked together with factories and hardware startups to help develop and implement, qualify and pick factories, manage connections and mill discussions, and improve their layouts for manufacturing quality management procedures. With this history, Greg has immense passion and a unique perspective for what scale their operations and it can take to build the base that is right.

Seeing the need for assistance for hardware startups to realize success, Greg started Hardware Massive, which is the for Hardware Startup Innovation, also HardwareCon, the Bay Area’s hardware invention convention. Their assignments are to hardware startups to succeed through networking, events, education, and providing access.

Join 600 hardware innovators, entrepreneurs, disruptors and investors at HardwareCon 2019, the premier event for hardware creation.   Plan to attend in the Computer History Museum in Mountain View, California.   Use promo code: GIGA-OM-IL for a special 20% discount on the ticket. Visit www.hardwarecon.com to redeem the discount.

Hardware’s future is full and bright of exceptionally accessible, processed, happiness-inducing data.
At Precisely the Same time, specific tools have been developed to improve this integration.   We’re seeing a lot of border computing such as Google’s Edge TPUs and NVIDIA’s Jetson lineup. As it has such extensive support including Raspberry Pi, for hardware installation tensorFlow is the most usual AI framework. ROS is still popular despite being a jumble of complex and mismatched software, and ports have been done by people to OpenAI’s Gym environments.

Author Bio

The barriers are, while the future is apparent.   Robustness, processing power, generalization and price are all tradeoffs hardware products that are future will have to balance.   Contrary to the scalable and on-demand cloud along with services applications enjoys, every hardware product will have onboard processing, sensorstechnology, and other requirements that all make their way into the product cost.   Will the market accept the price, although sure a GPU could be thrown in the BOM?   High performance computing in the border is still in its nascent stages so processing of data and images can be costly also.

Invention is a fickle beast.   It requires money, a Great Deal of cash.   It takes time, a fantastic team, and execution in over twenty separate domains, a number of which tend to be overlooked until it is too late (certificates anyone?!) .   However, I’ve got some good news. Hardware is back and it is going to get really exciting.
The beauty of hardware empowered AI/ML Is It not only crosses the border between the physical and virtual, but between digital and analog.   It is especially valuable dealing with its data that is cluttered and when interacting with the world.   The next generation of AI hardware startups will take all that messy analog data and change it into executable and productive knowledge that offer encounters all the way from purchasing to cancer treatments that enable healthcare in scale.

You are probably thinking right now I ever read about is AI, ML, blockchain, and XR are ready to revolutionize the entire world ” and that’s exactly the point.   There are some amazing software technologies coming out, but this”new” software has hardware in its DNA.   Until lately, smart technologies have largely been restricted by their access points: computers, tablet computers, smartphones, etc..   Going forward, hardware innovations will become more and more integral and precious as the port to get tomorrow’s applications. Hardware will subsequently be leveraged because the outputs to interact with the world as drones, robots, along with the myriad of other IoT devices that are being developed and will capture the information via an increasing number of sensors, hearables, cameras and wearables.
The programs, tools and systems are discovering synergy and lowering the obstacles of integration Since the ecosystem of information, computation, link, and devices evolve.    The line between What’s a software or hardware product will continue to blur.   The sensor technology are cameras and microphones. If there is a camera, there is a chance there is an AI stack behind it, together with self-driving automobiles being the most prominent example.    On microphone/speaker side, Google Home the Smart Home assistants Amazon Echo, along with many others are ubiquitous and obvious.