After many years of consolidation, the world of computer chips has come to be dominated by two groups of companies.
On one side are very large companies that acquire other large companies, such as $350 billion Nvidia, which is spending $40 billion to buy ARM, or $100 billion Advanced Micro Devices, which is spending $36 billion to buy Xilinx.
And then, there are companies of somewhat more normal scale, such as Synaptics of San Jose, a $3.4 billion company that sells about $1.4 billion a year in parts that go into mobile phones, personal computers, and an increasing array of devices for the so-called Internet of Things: wireless doorbells, intelligent thermostats, smart speakers, etc.
Ceres Holographics an innovative developer of thin-film Holographic Optical Elements (HOEs) for next-generation transparent display (TD) and augmented reality head-up-display (AR-HUD) solutions, announced a partnership with lighting and projector expert TQ Technology to develop projection systems to illuminate its display solutions.
The partnership leverages TQ Technology’s extensive experience working with Texas Instruments DLP® technology which is a key element in Ceres’ solution for in-plane displays of information on any type of transparent surface.
Someone once said, “You can never be too rich or too thin.” You can debate whether this is a healthy sentiment for people, but it certainly rings true for smartphones. The richness of the mobile displays, and the thinness of the devices are key differentiators in modern smartphones, along with the cameras, battery life, storage, and processor speed.
Researchers at the National University of Singapore recently demonstrated the advantages of using neuromorphic sensor fusion to help robots grip and identify objects.
It’s just one of a number of interesting projects they’ve been working on including developing a new protocol for transmitting tactile data, building a neuromorphic tactile fingertip, and developing new visual-tactile datasets for the development of better learning systems.
E-waste Day: Unfairly Sidelined During Tech’s Big Sale Season.
Researchers at the National University of Singapore recently demonstrated the advantages of using neuromorphic sensor fusion to help robots grip and identify objects.
It’s just one of a number of interesting projects they’ve been working on including developing a new protocol for transmitting tactile data, building a neuromorphic tactile fingertip, and developing new visual-tactile datasets for the development of better learning systems.
E-waste Day: Unfairly Sidelined During Tech's Big Sale Season.
Researchers at the National University of Singapore recently demonstrated the advantages of using neuromorphic sensor fusion to help robots grip and identify objects.
It’s just one of a number of interesting projects they’ve been working on including developing a new protocol for transmitting tactile data, building a neuromorphic tactile fingertip, and developing new visual-tactile datasets for the development of better learning systems.
To accelerate the pace of innovation in machine vision systems, Paris-based Prophesee has launched its Metavision Intelligence Suite. Event-based vision is a growing field of research, and applications are starting to emerge. To accelerate the pace of innovation in machine vision systems, Paris-based Prophesee has launched its Metavision Intelligence Suite, a software toolkit that provides algorithms, code samples
Event-based vision is a growing field of research, and applications are starting to emerge. To accelerate the pace of innovation in machine vision systems, Paris-based Prophesee has launched its Metavision Intelligence Suite, a software toolkit that provides algorithms, code samples, and ready-to-use applications.
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