Google announced Tuesday that it is overhauling the principles governing how it uses artificial intelligence and other advanced technology. The company removed language promising not to pursue "technologies that cause or are likely to cause overall harm," "weapons or other technologies whose principal purpose or implementation is to cause or directly facilitate injury to people," "technologies that gather or use information for surveillance violating internationally accepted norms," and "technologies whose purpose contravenes widely accepted principles of international law and human rights." The changes were disclosed in a note appended to the top of a 2018 blog post unveiling the guidelines. "We've made updates to our AI Principles. Visit AI.Google for the latest," the note reads.

Recently, through development of several 3d vision systems, widely used in various applications, medical and biometric fields. Microsoft kinect sensor have been most of used camera among 3d vision systems. Microsoft kinect sensor can obtain depth images of a scene and 3d coordinates of human joints. Thus, anthropometric features can extractable easily. Anthropometric feature and 3d joint coordinate raw datas which captured from kinect sensor is unstable. The strongest reason for this, datas vary by distance between joints of individual and location of kinect sensor. Consequently, usage of this datas without kinect calibration and data optimization does not result in sufficient and healthy. In this study, proposed a novel method to calibrating kinect sensor and optimizing skeleton features. Results indicate that the proposed method is quite effective and worthy of further study in more general scenarios.

AI robots could soon be taking some of the burden off exhausted nurses by dealing with patients' questions and performing simple tasks. Following a successful hospital trial, it was found that the androids were able to'smoothly' answer queries relating to the length of time until the doctor would be free and other subjects. The machines were also able to engage in'general chit-chat' with patients - as well as offering quizzes, riddles and even calming breathing exercises. Crucially, they were found to be able to keep up with conversations involving several nurses and patients simultaneously. The UK's National Robortarium - based at Heriot Watt University in Edinburgh - played a pivotal role in the 7m EU-funded'Socially Assistive Robots in Gerontological healthcare' project.

In the rapidly advancing field of artificial intelligence, the concept of Red-Teaming or Jailbreaking large language models (LLMs) has emerged as a crucial area of study. This approach is especially significant in terms of assessing and enhancing the safety and robustness of these models. This paper investigates the intricate consequences of such modifications through model editing, uncovering a complex relationship between enhancing model accuracy and preserving its ethical integrity. Our in-depth analysis reveals a striking paradox: while injecting accurate information is crucial for model reliability, it can paradoxically destabilize the model's foundational framework, resulting in unpredictable and potentially unsafe behaviors. Additionally, we propose a benchmark dataset NicheHazardQA to investigate this unsafe behavior both within the same and cross topical domain. This aspect of our research sheds light on how the edits, impact the model's safety metrics and guardrails. Our findings show that model editing serves as a cost-effective tool for topical red-teaming by methodically applying targeted edits and evaluating the resultant model behavior

Vision algorithm-based robotic arm grasping system is one of the robotic arm systems that can be applied to a wide range of scenarios. It uses algorithms to automatically identify the location of the target and guide the robotic arm to grasp it, which has more flexible features than the teachable robotic arm grasping system. However, for some food packages, their transparent packages or reflective materials bring challenges to the recognition of vision algorithms, and traditional vision algorithms cannot achieve high accuracy for these packages. In addition, in the process of robotic arm grasping, the positioning on the z-axis height still requires manual setting of parameters, which may cause errors. Based on the above two problems, we designed a sorting system for food packaging using deep learning algorithms and structured light 3D reconstruction technology. Using a pre-trained MASK R-CNN model to recognize the class of the object in the image and get its 2D coordinates, then using structured light 3D reconstruction technique to calculate its 3D coordinates, and finally after the coordinate system conversion to guide the robotic arm for grasping. After testing, it is shown that the method can fully automate the recognition and grasping of different kinds of food packages with high accuracy. Using this method, it can help food manufacturers to reduce production costs and improve production efficiency.

AGI, while powerful, could have negative consequences, warned Diveplane CEO Mike Capps and Liberty Blockchain CCO Christopher Alexander. A United Nations expert warned about an "alarming" trend of "using security rhetoric" to justify "intrusive and high-risk technologies," including artificial intelligence, to spy on social rights activists and journalists. U.N. expert Fionnuala Ní Aoláin called for a moratorium on AI development, among other advanced technologies like drones, until "adequate safeguards are in place," according to a March 2023 report that was presented to the Human Rights Council. "Exceptional justifications for the use of surveillance technologies in human rights'lite' counter-terrorism often turn into mundane regular use," Ní Aoláin said in a statement after the report's release. Without meaningful oversight, she argued, countries and private actors can use AI-power tech with impunity "under the guise of preventing terrorism." Fionnuala Ní Aoláin called for a moratorium on AI development, among other advanced technologies, until "adequate safeguards are in place."

Artificial intelligence in the FinTech industry is a topic that has created a big layer of curiosity around itself. The progress it has made over the past few years has left everyone either talking the whole day about it or speechless with amazement. Today, let's talk about how the FinTech industry has obtained a whole new outlook throughout the world with the help of artificial intelligence and machine learning. Are you ready to be enlightened? The AI in FinTech market size is projected to grow to $31.71 billion in 2027 at a CAGR of 28.6%.

For a Self-reliant India, to fulfil demand of highly skilled Artificial Intelligence and Cyber Security professionals in the country, Defence Institute of Advanced Technology, DIAT, Pune is conducting the nationwide Online Training and Certification Courses (OTCC) in Cyber Security, Artificial Intelligence & Machine Learning(AI & ML). The School of Computer Engineering and Mathematical Sciences of DIAT has completed two batches of these courses and more than 1600 candidates are successfully trained and certified. The 3rd batch of AI & ML course is on-going. Now DIAT is launching next batches of 16-weeks Online Course on Cyber Security, and 12-weeks Online Course on Artificial Intelligence & Machine Learning (AI & ML)in December 2022. The Graduating students, professionals, or any graduate person can apply for these courses.

Since the last decade, it is becoming increasingly clear that Artificial Intelligence is going to be the central technology around which all other advanced technologies will revolve and co-exist. Artificial Intelligence, in simplest terms, refers to'smart' machines or'intelligent' systems which perform tasks that are usually associated with human intelligence and reasoning. Artificial Intelligence (AI), in order to maximize its utility, has been paired with robotics, machine learning, Internet of Things (IoT), and many such technologies. Edge AI computing is one such example of integration of two technologies. As said earlier, edge AI is the combination of two technologies, viz., Edge computing and Artificial Intelligence.

The industrial advancements of the past -- from machines enabling mass production to the introduction of computers and automation -- have all led to the tipping point we are navigating today. Organizations of all sizes and across sectors are increasingly adopting advanced digital technologies. This will transform the way we work as drastically as past achievements did a century ago. Leaders need to ensure their organizations can seamlessly navigate these shifts and have the necessary resources to drive the promise of digitization forward. While businesses had some time to prepare for digital transformation, the pandemic propelled those efforts.