Large enterprises face many challenges in management of its inventory (Seeloz, 2021). Managing and spot-checking stock is a repetitive process which enables warehouse operatives to miss important data analysis of company's stock which can result a negative impact on the business. Warehouse companies today have identified two major issues: obstacles in business planning and high operational budget costs (Fedyk, 2020). The overabundance of data and tracking issues can become resolute. Using machine learning, algorithms and other dimensions of Artificial Intelligence (AI), new insights, better regulated inventory, and successful operations of a warehouse can be accomplished.

Artificial Intelligence (AI) is one of the most powerful technological forces in this era and, while it began in the data centre, it's moving quickly to the edge. NVIDIA's Charlie Boyle says that one of the biggest things the sector is seeing – which started at the end of 2020 but accelerated into 2021 – is the idea of an AI centre of excellence for companies and institutions. "There's a big change from what we were seeing a few years ago. Previously, when people worked on AI, it would tend to start small, getting some results and would grow over time," he explains. "We are engaging with a lot of customers today, who have realised that starting very small and growing organically may not get them the results they need in the next couple of years. Before, an individual researcher or a small team may procure one or two systems, a little bit of infrastructure, some networking and storage. "Now, we are seeing that more at a strategic level inside of the company where, in order to achieve even basic results, management is realising it needs a critical mass of infrastructure to carry out the experiment to drive the applications that they need.

Few details about the planned UK defence centre on artificial intelligence (AI) have emerged since 19 November when the prime minister announced its intended formation. Nor is it clear whether it was the Cabinet Office and Downing Street or the Ministry of Defence itself that was the driving force behind the proposal, and it is not known whether the centre will reside within the defence organisational structure or be co-located with another department. As a result, all we can do at this stage is offer some suggestions about the functions the centre could perform and raise questions about its organisation and structure. A few introductory lines about AI are needed. At its heart, it involves the use of computers for processing information to improve decision-making (namely suggesting choices that have a better chance of success and to do so more rapidly). There are four elements in AI development.

Introduced in 2019, by IBM, Brazil has launched the largest research facility, that focuses on artificial intelligence, through a collaboration between the private and public sector. The Artificial Intelligence Center (C4AI) is supported by investments made by IBM along with the São Paulo Research Foundation (FAPESP) and the University of São Paulo (USP). This AI centre -- C4AI has been established to tackle five significant challenges that are related to health, the environment, the food production chain, the future of work and the development of NLP technologies in Portuguese. Along with this, it will also aid in projects relating to human wellbeing improvement as well as initiatives focused on diversity and inclusion. The total investment in the AI centre will reach $20 million over the next ten years, which will be split among the investors. The USP will contribute $1 million to cover costs related to the physical set-up of the space, as well as over 70 lecturers and staff to run the centre.

King's College London (KCL) is partnering up with two companies to deliver an artificial intelligence model in the healthcare and life sciences sector. KCL is joining forces with Owkin, a company that develops AI algorithms for cancer centres and pharmaceutical companies, and American technology company, NVIDIA, to provide Federated Learning, a framework for AI. Federated learning is a machine learning technique that trains an algorithm across multiple decentralised servers holding local data samples, without exchanging their data samples. Owkin aims to demonstrate that the Federating Learning model is safer for patients, and statistically equivalent to the traditional pooled model for analysis. KCL will use Owkin's Federated Learning software and NVIDIA's EGX Intelligent Edge Computing platform to develop research, clinical and operational improvements across a large number of clinical pathways, with cancer, heart failure, dementia and stroke likely areas of early focus.

Owkin, which is developing Federated Learning and AI technologies to advance medical research, announces it is teaming up with technology company NVIDIA and King's College London (KCL) to deliver Federated Learning in the healthcare and life sciences sector. The King's College London Medical Imaging and AI Centre for Value Based Healthcare (AI4VBH) is one of the world's most ambitious Federated Learning projects in healthcare. It will initially connect four of London's premier teaching hospitals before expanding throughout the UK, and will offer AI services to accelerate research and improve clinical practice in a wide range of therapeutic areas, including cancer, heart failure and neurodegenerative disease. Owkin's co-founder and Chief Scientific Officer, Gilles Wainrib, said: "This partnership brings together the best players in life science & healthcare, machine learning and data center infrastructure. NVIDIA's platforms create the ideal and flexible footprint for hospitals to invest in machine learning. King's College London has assembled the engineering, medical and data science talent, the high-quality patient data, and the governance framework in the AI4VBH Centre, that will show the world the future of healthcare analytics and the power of machine learning. Together we will be enabling the formation of a decentralized dataset that will generate enormous value for research and clinical practice. Owkin hopes to demonstrate that a Federating Learning architecture is safer for patients, and statistically equivalent to the traditional pooled model for analysis. Owkin also sees huge research potential to analyse the patient data in the AI4VBH Centre to identify new biomarkers, and high value subgroups for clinical trial design and diagnostics."

Internet technology giant Google has officially opened its Artificial Intelligence (AI) Research Centre in Ghana with high hopes of finding solutions to Africa's problems. Artificial intelligence is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. It helps find solutions to real-world problems. It can help people focus on what is relevant and open up new ways to solve problems in almost every imaginable field such as AI helping pathologists to spot cancer cells on slides, advising farmers on how to address problems with their crops and helping manufacturers detect equipment breakdowns. Google is optimistic the lab in the West African country – the first in Africa – will transform lives by coming up with bespoke solutions for the continent's problems including natural disasters.

The Latest: On Tuesday November 6, Greg Clark, Secretary of State for Business, Energy and Industrial Strategy, announced that the national funding agency UK Research and Innovation (UKRI) will invest GBP50mn (USD64mn) in five new AI centres under Wave 2 of the Industrial Strategy Challenge Fund as part of the Data to Early Diagnosis and Precision Medicine initiative. Each centre will receive GBP10mn (USD12.8mn) in public funding augmented by investment from commercial partners, including Canon, GE Healthcare, Philips, Roche Diagnostics and Siemens. The investment marks a significant step in delivering on a major commitment in the Life Sciences Sector Deal agreed in December 2017, following publication of Sir John Bell's Life Sciences Industrial Strategy in August 2017. Implications: The AI centres will partner doctors and academics with leading medical device companies and innovative start-ups to develop new AI-based applications to improve early diagnosis of diseases, including cancer and cardiovascular diseases. As well as enhancing patient treatment, the initiative aims to achieve cost reductions for the NHS and free up resources for direct patient care.

Samsung is opening an artificial intelligence centre in Montreal. According to Samsung, this will be the seventh AI research facility to open this year making it the fourth in North America alone. The recent announcement compliments earlier news of multiple AI centres launched in North America and continues Samsung's efforts in AI that include the development of Samsung's virtual assistant, Bixby. The centre is the fourth Samsung AI Centre to be established in North America following the centres launched in Silicon Valley, New York and Toronto. The opening of the AI centre in Montreal will allow Samsung to expand its outpost for industry collaboration and talent recruitment in a major AI hub in Canada, dedicated to research and development of core AI technologies that entail machine learning, language, vision and other multi-modal interactions, according to Samsung.

Valérie Pisano sips a cappuccino in Montreal's Caffè Italia, an unassuming gem in the heart of the city's Little Italy, and a place that she has known since she was a child. "Coming here is all about history and stability," said the newly appointed president and chief executive of Mila (formerly the Montreal Institute for Learning Algorithms), the Quebec epicentre of Canada's artificial-intelligence revolution. With a soccer match on the TV screen above and the steamy blasts of an espresso machine punctuating her words, Ms. Pisano spoke about the need to stay connected to the past while leading an organization that is literally inventing the future. "What we're trying to create is completely new, completely emergent… And as society quickly pivots to this new era, we need to ask, how do we anchor ourselves in the roots of who we are and what we stand for as humanity?" The future Ms. Pisano sees emerging is just around the corner – not just figuratively, but literally.