MBN Solutions are collaborating exclusively with a leading gaming business that specializes in Responsible Gaming and Machine Learning applications within the gaming space. They require a Machine Learning Engineer to join their established Engineering division, leading and providing hands-on and technical oversight to the team. The business provides automated intelligence to help customers, studios, and operators to grow responsible, measurable improvements to enhance the play experience. Due to its performance as a business and innovative market-changing product, the organization has recently closed Series A funding and is on a trajectory to be one of the biggest names within the industry. This is a great opportunity for any Senior Data Engineer/Machine Learning Engineer who wants to lead the technical function of a Data Engineering team as well as mentor more junior members.

A little over a year after announcing that Tesla would build a friendly robot for mass production, Elon Musk unveiled two humanoid prototypes during Tesla's 2022 AI Day. Dubbed "Optimus," the first robot Musk revealed featured exposed wiring and exhibited a few small movements. The second prototype looked sleeker, but so far it is incapable of walking. While the humanoids did not appear as advanced as many people had anticipated, Musk believes that his Tesla robots will be ready to roll out within three to five years, and expects to manufacture "millions" of units. The rather underwhelming AI prototypes Musk debuted don't seem to inspire too much fear of a robot takeover, but who knows what the technopreneur - who one day hopes to sync human brains with computers - may develop in the next half a decade!

Facebook parent company Meta announced the launch of a new artificial intelligence free software platform that supports both NVIDIA and AMD chips, making it easier for developers to develop artificial intelligence programs between hardware systems based on different chips. Meta's newly released set of artificial intelligence open source software is built on the basis of the PyTorch open source machine learning framework, which can make the code on Nvidia's flagship A100 chip run 12 times faster, and also make the code on AMD's MI250 chip run faster. Meta said in a blog post that the AI software platform not only speeds up code execution but also supports AI chips from different manufacturers. At present, software development has become a key area for chip manufacturers to build developer ecosystems and use their own chips. For example, CUDA developed by NVIDIA is very popular. However, after developers develop artificial intelligence code based on Nvidia chips through CUDA, it is difficult to run on graphics and image processing chips made by companies such as Nvidia's rival AMD.

As referred previously, the gradient descent algorithm is an optimization technique used to find the weights and bias values that minimize a cost function. The backpropagation algorithm is a method of training neural networks that uses gradient descent to minimize the cost function. Backpropagation is a fast and efficient method of training a neural network. Before explaining the backpropagation algorithm, it's crucial to describe the equation behind any artificial neural network. A neural network can be represented by a composition of multivariate functions.

Viet Nam is facing a big shortage of human resources for artificial intelligence, said Nguyen Xuan Hoai, director of the Artificial Intelligence (AI) Academy Viet Nam. Hoai said in the process of working with both private and state businesses and agencies, awareness and demand for AI application and data analysis was increasing due to the strong digital transformation revolution. However, when talking with enterprise leaders about difficulties encountered in the working process, experts always receive the answer that the shortage of human resources was among the top three difficulties, he said. The director of the AI Academy Viet Nam said that AI was gradually becoming an industry and a profession, so the difficulty in resources was a matter for the whole world. In particular, the shortage of human resources for artificial intelligence in Viet Nam was quite large, he said.

Among the great challenges posed to democracy today is the use of technology, data, and automated systems in ways that threaten the rights of the American public. Too often, these tools are used to limit our opportunities and prevent our access to critical resources or services. These problems are well documented. In America and around the world, systems supposed to help with patient care have proven unsafe, ineffective, or biased. Algorithms used in hiring and credit decisions have been found to reflect and reproduce existing unwanted inequities or embed new harmful bias and discrimination.

Today, the White House proposed a "Blueprint for an AI Bill of Rights," a set of principles and practices that seek to guide "the design, use, and deployment of automated systems," with the goal of protecting the rights of Americans in "the age of artificial intelligence," according to the White House. The blueprint is a set of non-binding guidelines--or suggestions--providing a "national values statement" and a toolkit to help lawmakers and businesses build the proposed protections into policy and products. The White House crafted the blueprint, it said, after a year-long process that sought input from people across the country "on the issue of algorithmic and data-driven harms and potential remedies." The document represents a wide-ranging approach to countering potential harms in artificial intelligence. "Among the great challenges posed to democracy today is the use of technology, data, and automated systems in ways that threaten the rights of the American public," reads the foreword of the blueprint.

As data-driven technologies transform the world and artificial intelligence raises questions about bias, privacy and transparency, Suresh Venkatasubramanian is offering his expertise to help create guardrails to ensure that technologies are developed and deployed responsibly. "We need to protect the American people and make sure that technology is used in ways that reinforce our highest values," said Venkatasubramanian, a professor of computer science and data science at Brown University. On the heels of a recently concluded 15-month appointment as an advisor to the White House Office of Science and Technology Policy, Venkatasubramanian returned to Washington, D.C., on Tuesday, Oct. 4, for the unveiling of "A Blueprint for an AI Bill of Rights: Making Automated Systems Work for the American People," during a ceremony at the White House. Venkatasubramanian said the blueprint represents the culmination of 14 months of research and collaboration led by the Office of Science and Technology Policy with partners across the federal government, academia, civil society, the private sector and communities around the country. That collaboration informed the development of the first-ever national guidance focused on the use and deployment of automated technologies that have the potential to impact people's rights, opportunities and access to services.

Artificial intelligence can determine whether a building is energy efficient by analysing existing data. The technology could be used to get a broad picture of the energy efficiency of buildings in different countries. Kevin Mayer at Stanford University in California and his colleagues trained and tested an AI on remote-sensing and public data for almost 40,000 buildings in the UK.

Kinetic installation artist David Bowen has given a rhododendron a really big knife, the power to use it, and therefore, a degree of agency not enjoyed by the kingdom Plantae since the Cambrian era. His latest piece, Plant Machete, melds a woody shrub with an industrial robot arm and slaps a machete to the business end of it. On the other end, a series of electrical pickups monitor the bioelectrical noise generated by the plant. Living plant controls a machete through an industrial robot arm pic.twitter.com/jQYzMzoG0W "The system uses an open source microcontroller connected to the plant to read varying resistance signals across the plant's leaves," Bowen wrote.