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) …
In this blog post I will show how to use a low-code app in MATLAB, the Deep Network Designer, for two different tasks and design paradigms: creating a network from scratch vs. using transfer learning. The process of building deep learning (DL) solutions follows a standard workflow that starts from the problem definition and continues with the steps of collecting and preparing the data, selecting a suitable neural network architecture for the job, training and fine-tuning the network, and eventually deploying the model (Figure 1). The selection of a suitable neural network architecture usually follows the best practices for the application at hand, e.g., the use convolutional neural networks (CNNs or ConvNets) for image classification or recurrent neural networks (RNNs) with long short-term memory (LSTM) cells for text and sequence data types of applications. Transfer learning is an incredibly easy, quick, and popular method for building DL solutions in some domains, such as image classification – using neural network architectures pretrained on ImageNet (a large dataset of more than 1 million images in more than 1,000 categories). Essentially, it consists of using a deep neural network that has been pre-trained in a large dataset of similar nature to the problem you are trying to solve. This is usually accomplished by retraining some of its layers (while freezing the others).
NATO will adopt its first strategy on artificial intelligence and launch an innovation fund this week with the aim of investing $1 billion to "futureproof" the 30-nation security pact, Secretary-General Jens Stoltenberg said Wednesday. "We see authoritarian regimes racing to develop new technologies, from artificial intelligence to autonomous systems," Stoltenberg said at a news conference at the alliance's Brussels headquarters. U.S. Defense Secretary Lloyd Austin will join his NATO member counterparts Thursday in Brussels to formally approve the plans during two days of talks. Stoltenberg said he expects the new NATO fund to invest in emerging and disruptive technologies. New headquarters and test centers will be set up in both Europe and North America to support the effort, he said.
Artificial intelligence is reorganizing the world, introducing innovations that will likely exceed those that came with the World Wide Web. And like the Web there were, and still are, security concerns. Today, trust in artificial intelligence is probably the single greatest risk to continuing AI innovation and adoption. A simple framework for the operational elements that need to be addressed for the responsible deployment of artificial intelligence must include'Fairness and Bias', 'Interpretability and Explainability', as well as the newest and equally important element of'Robustness and Security'. Note, that these are operational considerations, and privacy should be inherent in the design and implementation of responsible AI -- e.g., privacy must be foundational in every step of the process.
We have all watched movies about the robot uprising or Artificial Intelligence (AI) taking over. Eventually, they become smart enough to realize we are killing off each other and they have to save us from ourselves. Now, I am not debating that this is a fact that any intelligent being would conclude. BUT I do not think adding religion into this is a good idea.
Ceph is open source software defined storage (SDS) designed to provide highly scalable object-, block- and file-based storage under a unified system, setting it apart from other SDS solutions. It allows decoupling data from physical hardware storage, using software abstraction layers, providing scaling and fault management capabilities. As a distributed storage framework, Ceph has typically been used for high bandwidth, medium latency types of applications, such as content delivery, archive storage, or block storage for virtualization. Its inherent scale-out support allows an organization to build large systems as demand increases. Additionally, it supports enterprise-grade features such as erasure coding, thin provisioning, cloning, load-balancing, automated tiering between flash and hard drives, and simplified maintenance and debugging.
As we navigate the post-pandemic world (and grapple with Covid's continual resurgence), voice technology supported by AI will be healthcare's next big tool. Artificial intelligence rocketed up the hype cycle during the pandemic, but no ascension is more fascinating than voice technology. With use cases in multiple industries, including the one on everyone's mind--healthcare, voice tech investments, and deployment will only increase as we navigate a post-Covid world. Voice tech has multiple use case potentials even outside the common customer service applications. Researchers at Carnegie Mellon, for example, pioneered voice tech to identify potential Covid infections from the sound of someone's voice and breathing patterns.
Nicolas Chaillan, who resigned as the Air Force chief software officer, warns of the'existential threat' China's technological advantages pose. The former chief software officer for the U.S. Air Force was "not surprised" by China's nuclear-capable rocket launch and warned that the U.S. "is running out of time" to catch up in the artificial intelligence race against China. "AI is so important to what's coming next in terms of innovation, but also in terms of weapons, quite honestly," Nicolas Chaillan told Fox News in an interview. China's expanding artificial intelligence and tech capabilities are "an existential threat to our kids and all our friendly nations' kids as well," he added. Chaillan served as the chief software officer in the Air Force for three years before announcing his resignation last month, criticizing the Pentagon's low prioritization of technological innovation on his way out.
At I/O 2021, Google reiterated its commitment to Matter with a handful of smart home-related Nest and Android updates. If you need a refresher, Matter was known as Project CHIP, or Connected Home over IP, before a rebranding this past May. It's a pact between some of the biggest companies in tech, including Google, Amazon and Apple, that aims to bring standardization to the fragmented smart home space. When it launches in the first half of 2022, it will support a variety of voice assistants and networking protocols, including Alexa, Google Assistant, Siri as well as WiFi, Thread and Bluetooth LE. At its simplest, the promise of Matter is that you'll be able to buy a new device and it will simply work with your existing smart home setup.
The NFL and lawyers for thousands of retired NFL players have reached an agreement to end race-based adjustments in dementia testing in the $1 billion settlement of concussion claims, according to a proposed deal filed Wednesday in federal court. The revised testing plan follows public outrage over the use of "race-norming," a practice that came to light only after two former NFL players filed a civil rights lawsuit over it last year. The adjustments, critics say, may have prevented hundreds of Black players suffering from dementia to win awards that average $500,000 or more. The Black retirees will now have the chance to have their tests rescored or, in some cases, seek a new round of cognitive testing, according to the settlement, details of which were first reported in The New York Times on Wednesday. "We look forward to the court's prompt approval of the agreement, which provides for a race-neutral evaluation process that will ensure diagnostic accuracy and fairness in the concussion settlement," NFL lawyer Brad Karp said in a statement. The proposal, which must still be approved by a judge, follows months of closed-door negotiations between the NFL, class counsel for the retired players, and lawyers for the Black players who filed suit, Najeh Davenport and Kevin Henry.