If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
What is the state of the art in #ArtificialIntelligence? The state of the art in Artificial Intelligence (SOTA AI) follows the reduction rule, SOTA AI #DataScience #MachineLearning #DeepLearning Narrow/Weak AI The SOTA AI, as specific ML/DL models, #algorithms, techniques and technologies, it is what makes today's commercially prevalent weak AI. The SOTA AI is still after building machines and software agents somehow mimicking human-like cognition and #intelligence (sense (perceiving), analysis, reasoning, understanding and response) by means of statistic learning techniques. Most present AI companies, are about some advanced data analytics, predictive modeling, or computational neural networks based on mathematics and algorithms, as some specific ML/DL techniques, algorithms, models or applications. They are outperforming humans in some very narrowly defined task, focusing on imitating, simulating some single cognitive ability, skill or competence.
Most of them sold as end-to-end platform for data science and machine learning where you can build and deploy models quickly and manage your ML workflows at scale. What all that today's AI platforms and applications are missing, beside of being over specialized, from video games to object, speech, face, or sentiment recognition, the real intelligence.
How Can you avoid Overfitting? Usually, during the training process, a model is fed large amounts of data. In the course of the process, the data starts learning even from the inaccurate information and noise present in the sample data set. This creates a negative influence on the performance of the model on new data, that is, the model cannot accurately classify new instances/data apart from those of the training set. This is known as Overfitting.
All the below links and tweets are in English. A test run of a robot using artificial intelligence has begun in Hamamatsu City, central Japan. The robot is designed to help prevent the spread of the coronavirus by identifying people not wearing masks. Norway's Minister for Research and Higher Education Iselin Nybø is visiting Japan, including AISTs Artificial Intelligence R&D Center. NEC Corporation signed an LoI to support R&D activities in the areas of Artificial Intelligence and Robotics at the proposed India Japan Centre for Artificial intelligence and Robotics (IJCAIR) at Indian Institute of Technology Bombay.
The power of AR and AI working together to enhance human creativity. Fabin extracted and processed the video using the SPADE algorithm and augmented it on the feed. I love to support the community and showcase up and coming open-source projects, libraries, papers, and other innovations! Please submit your project here: https://lnkd.in/gvpiy2m
USB Type-C enables a flippable connector with a small form factor. It extends the power capabilities to 15 W, allowing the source to dynamically manage current from 0.5 A to 3 A. Data speeds have been increased to 10 Gbps. Besides, USB-C supports USB power delivery (PD)--a single-wire protocol that lets devices create a contract to deliver the optimum power level for each application. With PD, USB-C enables negotiable power up to 100 W. In this article, we'll look at the main features required to have a USB-C power exchange with and without PD. We'll also take a look at the MAX77958, which is a recently-released USB-C PD controller from Maxim Integrated.
Rocket Lab has made a remarkable recovery after losing a payload during a mission failure on July 4 – just eight weeks later, the company has set a launch window for its next dedicated commercial mission that spans 12 days beginning August 27 at 3:05 PM local New Zealand time. At the end of July, Rocket Lab revealed that it had received crucial FAA clearance to resume its launch activities, following an internal investigation that lasted a month and identified the root cause – a component that had performed fine previously, but that somehow hadn't undergone rigorous and thorough testing. Rocket Lab founder and CEO Peter Beck noted that they'd be able to mitigate the problem with a relatively simple change to their production process, and even remedy the component on existing, already-produced Electron launch vehicles. Rocket Lab's quick turnaround on this resolution and return to active launch status also has to do with the nature of the problem – the error actually resulted in an early, but safe shutdown of the Electron's engines, which meant that it didn't reach its target orbit. The rocket didn't explode, however, or cause any kind of safety risk.
Qualcomm, a leader in wireless technology, has recently released the world's first 5G and AI-enabled robotics platform. Qualcomm says the Robotics RB5 platform includes novel technology that will accelerate the development of power-efficient, high-computing robots and drones for applications ranging from industrial and enterprise applications to defense and military sectors. Specifically, some of the applications this platform can enhance include inventory robots, retail robots, pick-sort-place robots, cleaning robots, delivery drones, healthcare robots, and defense robots. Qualcomm's Robotics RB5 platform, punctuated by their QRB5165 processor, supports a number of connectivity protocols through Qualcomm's FastConnect subsystems: Wi-Fi 6, Bluetooth 5.1, 4G, and 5G. This platform has been designed specifically for applications in robotics, and it comes with hardware, software, and other development tools to help designers with such applications.
The cybersecurity landscape is looking at higher than ever threat levels, data volumes quadrupling every 36 months, computing power and data transfer speeds increasing just as fast, and a diversity of IoT devices ushering in a new era of automation. To get a grip on this, more organizations are exploring how AI can help. The Next-generation security operations center (SOC) incorporates automation and orchestration -- automation applied to both defense operations and threat hunting incorporating AI and machine learning, and orchestration managing how multiple sets of tools and platforms work together. "AI and ML are not only used in a next-generation SOC to enhance detection and prevention activities, but also, increasingly, to augment incident response actions such as containment actions, ticket creation, and user engagement to triage and/or validate a suspicious action," stated John Harrison, Director, Cybersecurity Center of Excellence for Criterion, in an article he wrote for Nextgov. "The applications of AI and ML reduce the time spent on each alert and improve the Mean Time to Detect as well as the Mean Time to Repair."
Clean.io, a startup that helps digital publishers protect themselves from malicious ads, recently announced that it has raised $5 million in Series A funding. The Baltimore-based company isn't the only organization promising to fight malvertising (such as ads that force visitors to redirect to another website). But as co-founder wrote Seth Demsey told me last year, Clean.io CEO Matt Gillis told me via email this week that the challenge will "always" be evolving." "Just like an antivirus company needs to constantly be updating their definitions and improving their protections, we always need to be alert to the fact that bad actors will constantly try to evade detection and get over and around the walls that you put in front of them," Gillis wrote. The company says its technology is now used on more than 7 million websites for customers including WarnerMedia's Xandr (formerly AppNexus), The Boston Globe and Imgur. Clean.io has now raised a total of $7.5 million. The Series A was led by Tribeca Venture Partners, with participation from Real Ventures, Inner Loop Capital, and Grit Capital Partners. Gillis said he'd initially planned to fundraise at the end of February, but he had to put those plans on hold due to COVID-19. He ended up doing all his pitching via Zoom ("I saw more than my fair share of small NY apartments") and he praised Tribeca's Chip Meakem (who previous investments include AppNexus) as "a world class partner." Of course, the pandemic's impact on digital advertising goes far beyond pausing Gillis' fundraising process. And when it comes to malicious ads, he said that with the cost of digital advertising declining precipitously in late March, "bad actors capitalized on this opportunity." "We saw a pretty constant surge in threat levels from mid-March until early May," Gillis continued. "Demand for our solutions have remained strong due to the increased level of attacks brought on by the pandemic.