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) …
Alice is an innovative block-based programming environment that makes it easy to create animations, build interactive narratives, or program simple games in 3D. Alice is designed to teach logical and computational thinking skills, fundamental principles of programming and to be a first exposure to object-oriented programming. The Alice Project provides supplemental tools and materials for teaching using Alice across a spectrum of ages and subject matter with proven benefits in engaging and retaining diverse and underserved groups in computer science education.
Sophisticated innovations in artificial intelligence, computer vision, tactile sensing and more are the driving forces behind smart and autonomous vehicles. Progress on these fronts will be crucial to making smart cars even more intelligent and bringing self-driving cars to fruition, but industry stakeholders are also concentrating on another key to automotive innovation: open-source data, which can provide more shared tools to propel innovative developments. In one of the most prominent illustrations of this trend, Waymo, the AV subsidiary of Google's parent company, Alphabet, made the Waymo Open Dataset public in 2019. Collected by sensors in Waymo's self-driving cars, the dataset features high-resolution multimodal sensor data that covers a variety of environments, from dense urban centers to suburban landscapes, offering insights into a wide range of driving conditions. Its release came on the heels of Lyft and Argo AI's rollouts of their own open-source datasets, and has since then been followed by the release of the Ford Autonomous Vehicle Dataset and Google's open-sourced Android Automotive OS, among others.
Ambarella's products are used in a wide variety of human and computer vision applications, including video security, advanced driver assistance systems (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving and robotic applications. Per a recent evaluation, an Ambarella computer vision (CV) system on chip (SoC) and PCB were run on the Cadence Clarity 3D Solver. Results of both simulations show that when there is no solid reference plane for high-speed signals, the Clarity 3D Solver identifies the Ambarella design defects and correct scattering parameter (S-parameter) response. For both simulations, the Clarity 3D Solver, a 3D electromagnetic solver using 32 CPUs, took just 29 hours to process the case with 202 ports running at 48 bits via a LPDDR4 interface on a geometrical combination of package and PCB layout design. "Ambarella continuously upgrades our system design methodologies to stay ahead of the competition," said Chan Lee, vice president of VLSI at Ambarella, Inc. "The speed, capacity and accuracy of the Cadence Clarity 3D Solver enable us to accelerate our design process and shorten our schedule. We expect that many of the likely challenges of our next-generation 5nm AI design project can be easily and quickly addressed with the Cadence Clarity 3D Solver."
SDL (LSE: SDL), the intelligent language and content company, announces it has entered into a technical partnership with DRUID, specialists in conversational AI, to launch multi-lingual virtual assistants for enterprise organizations that enable real-time communication through chatbots. By integrating SDL Machine Translation with DRUID virtual assistants, companies will be able to conduct chatbot conversations in different languages with employees, customers, partners and suppliers. The solution offers a real-time "interpreter mode" function, which can translate conversations along with "live chat" which can translate into multiple languages in real-time. This supports the need for customers to easily translate entire conversations as well as enable scenarios where an agent – human or virtual – needs to communicate across multiple languages simultaneously. Chatbots are commonly configured to undergo complicated question-and-answering activities in different languages, but language-specific customization can be complex, time-consuming and costly.
IIT-Ropar, one of the eight new IITs established by the Ministry of Human Resource Development (MHRD), Government of India, and TSW, the executive education division of Times Professional Learning (a part of The Times of India Group), have launched a Post Graduate Certificate Programme in Artificial Intelligence & Deep Learning. The programme will be coordinated by The Indo-Taiwan Joint Research Centre (ITJRC) on Artificial Intelligence (AI) and Machine Learning (ML), at IIT-Ropar. Supported by the Ministry of Science and Technology, Taiwan, ITJRC is a bilateral centre for collaborative research in disruptive technologies like AI and ML. The programme, with its focus on Artificial Intelligence and Deep Learning, has an eligibility criterion of a minimum of 2 years of work experience in the IT industry. Though an engineering degree is a desirable prerequisite for this programme, one does not need a coding or mathematics background to be eligible.
Acronis has announced its official Artificial Intelligence partnership with Associazione Sportiva Roma, an Italian professional football club. Under the agreement, Acronis will be providing AI and Machine Learning (ML) solutions to process football data to optimise game and business operations, and cyber protection solutions for mission-critical workloads. AS Roma's chief operating officer, Francesco Calvo, shared his thoughts on the importance of the partnership. "The sport of football is constantly evolving, and we have entered an age where we are more dependent than ever before on data to make game-winning calls. However, the more important data is the more at risk it becomes. "This is why we are partnering up with Acronis to not only help us analyse and improve the quality of the data we collect, but also to protect it.
Everyone in the field of Artificial Intelligence knows what neural networks are. And most practitioners know the huge processing power and energy consumption needed to train pretty much any noteworthy neural network. That is to say, for the field to develop further, a new type of hardware is needed. Some experts consider that the quantum computer is that hardware. But even though it holds great promise, quantum computing is a technology that will take many decades to develop.
Artificial intelligence (AI) just seems to get smarter and smarter. Each iPhone learns your face, voice, and habits better than the last, and the threats AI poses to privacy and jobs continue to grow. The surge reflects faster chips, more data, and better algorithms. But some of the improvement comes from tweaks rather than the core innovations their inventors claim--and some of the gains may not exist at all, says Davis Blalock, a computer science graduate student at the Massachusetts Institute of Technology (MIT). Blalock and his colleagues compared dozens of approaches to improving neural networks--software architectures that loosely mimic the brain.