NVIDIA GPU Technology Conference 2018 in Taiwan

NVIDIA GPU Technology Conference 2018 Taiwan will be held from May 30-31 at Taipei Mariott Hotel, Taipei City. GTC is one of the largest and most important events in Taiwan that gather GPU developers together as well as the experts from a wide range of fields including artificial intelligence and deep learning, healthcare, virtual reality, accelerated analytics, self-driving cars, etc. To obtain a deeper insight into these cutting-edge technologies and their applications, GTC offers a series of themed training and seminars that feature smart healthcare, IoT & robotics, deep learning & AI, and so on. IronYun’s session takes place from 13:00 – 13:25, May 30, under the theme “Intelligent Video Analysis and Smart City“. Dr. Wu of IronYun will present AI NVR system and its applications based on the edge computing of Nvidia Jetson Tx2. Join us at 13:00, Wednesday, May 30!

NVIDIA GPU Technology Conference 2018 in Taiwan

NVIDIA GPU Technology Conference 2018 Taiwan will be held from May 30-31 at Taipei Mariott Hotel, Taipei City. GTC is one of the largest and most important events in Taiwan that gather GPU developers together as well as the experts from a wide range of fields including artificial intelligence and deep learning, healthcare, virtual reality, accelerated analytics, self-driving cars, etc. To obtain a deeper insight into these cutting-edge technologies and their applications, GTC offers a series of themed training and seminars that feature smart healthcare, IoT & robotics, deep learning & AI, and so on. IronYun’s session takes place from 13:00 – 13:25, May 30, under the theme “Intelligent Video Analysis and Smart City“. Dr. Wu of IronYun will present AI NVR system and its applications based on the edge computing of Nvidia Jetson Tx2. Join us at 13:00, Wednesday, May 30!

ASIS 28th New York City Security Conference & Expo

The ASIS 28th New York City Security Conference & Expo, taking place from 16-17 May at Javits Center, New York, NY, provides attendees with an opportunity that comes once in a blue moon to build the network with seasoned leaders in security industry and familiarize themselves with the cutting-edge security solutions aiming at the recent terrorism and critical security issues in urban areas such as school campus, retail stores, enterprise parks, etc. Leveraging AI technologies in security applications, IronYun benefits our customers by greatly minimizing human error and false positives, i.e., improving the system stability and accuracy and increasing the business efficiency. Come take a visit and learn more about our AI-based solutions at Booth#331 (booth location provided).

ASIS 28th New York City Security Conference & Expo

The ASIS 28th New York City Security Conference & Expo, taking place from 16-17 May at Javits Center, New York, NY, provides attendees with an opportunity that comes once in a blue moon to build the network with seasoned leaders in security industry and familiarize themselves with the cutting-edge security solutions aiming at the recent terrorism and critical security issues in urban areas such as school campus, retail stores, enterprise parks, etc. Leveraging AI technologies in security applications, IronYun benefits our customers by greatly minimizing human error and false positives, i.e., improving the system stability and accuracy and increasing the business efficiency. Come take a visit and learn more about our AI-based solutions at Booth#331 (booth location provided).

Artificial Intelligence Is Changing Intrusion Detection Dynamics In The Security Industry

With the ever-growing availability of video data, thanks to the low cost of high-resolution video cameras and storage, artificial intelligence (AI) and deep learning analytics now have become a necessity for the physical security industry, including access control and intrusion detection. Minimizing human error and false positives are the key motivations for applying AI technologies in the security industry.

What Is Artificial Intelligence?

Artificial intelligence is the ability of machines to learn from experience using a multi-layer neural network, which mimics the human brain, in order to recognize items and patterns and make decisions without human interference.

The human brain is estimated to have 86 billion neurons; in comparison, the newest Nvidia GPU Volta has 21 billion transistors (the equivalence of a neuron), which offers the performance of hundreds of CPUs for deep learning.AI can learn continuously 24 hours per day every day, constantly acquiring, retaining and improving its knowledge

In addition, unlike humans, AI can learn continuously 24 hours per day every day, constantly acquiring, retaining and improving its knowledge. With such enormous processing power, machines using Nvidia GPU and similar chips can now distinguish faces, animals, vehicles, languages, parts of speech, etc.

Depending on the required complexity, level of details, acceptable error margin, and learning data quality, AI can learn new objects within as fast as a few seconds using Spiking Neural Network (SNN) to a few weeks using Convolution Neural Network (CNN). While both SNN and CNN offer advantages and drawbacks, they outperform tradition security systems without AI in terms of efficiency and accuracy.

According to the research reports of MarketsandMarkets, the market size of perimeter intrusion detection systems is projected to increase from 4.12 billion USD in 2016 to 5.82 billion USD in 2021 at a Compound Annual Growth Rate (CAGR) of 7.1%.

Meanwhile, the predicted market of AI in security (both cybersecurity and physical security) will grow from 3.92 billion USD in 2017 to 34.81 billion USD by 2025, i.e., with an impressive CAGR of 31.38%.

Read the whole content via here.

Artificial Intelligence Is Changing Intrusion Detection Dynamics In The Security Industry

With the ever-growing availability of video data, thanks to the low cost of high-resolution video cameras and storage, artificial intelligence (AI) and deep learning analytics now have become a necessity for the physical security industry, including access control and intrusion detection. Minimizing human error and false positives are the key motivations for applying AI technologies in the security industry.

What Is Artificial Intelligence?

Artificial intelligence is the ability of machines to learn from experience using a multi-layer neural network, which mimics the human brain, in order to recognize items and patterns and make decisions without human interference.

The human brain is estimated to have 86 billion neurons; in comparison, the newest Nvidia GPU Volta has 21 billion transistors (the equivalence of a neuron), which offers the performance of hundreds of CPUs for deep learning.AI can learn continuously 24 hours per day every day, constantly acquiring, retaining and improving its knowledge

In addition, unlike humans, AI can learn continuously 24 hours per day every day, constantly acquiring, retaining and improving its knowledge. With such enormous processing power, machines using Nvidia GPU and similar chips can now distinguish faces, animals, vehicles, languages, parts of speech, etc.

Depending on the required complexity, level of details, acceptable error margin, and learning data quality, AI can learn new objects within as fast as a few seconds using Spiking Neural Network (SNN) to a few weeks using Convolution Neural Network (CNN). While both SNN and CNN offer advantages and drawbacks, they outperform tradition security systems without AI in terms of efficiency and accuracy.

According to the research reports of MarketsandMarkets, the market size of perimeter intrusion detection systems is projected to increase from 4.12 billion USD in 2016 to 5.82 billion USD in 2021 at a Compound Annual Growth Rate (CAGR) of 7.1%.

Meanwhile, the predicted market of AI in security (both cybersecurity and physical security) will grow from 3.92 billion USD in 2017 to 34.81 billion USD by 2025, i.e., with an impressive CAGR of 31.38%.

Read the whole content via here.