Linsker has reported the development of centre---surround receptive fields and oriented receptive fields in simulations of a Hebb-type equation in a linear network. The dynamics of the learning rule are analysed in terms of the eigenvectors of the covariance matrix of cell activities. Analytic and computational results for Linsker's covariance matrices, and some general theorems, lead to an expla(cid:173) nation of the emergence of centre---surround and certain oriented structures. Linsker [Linsker, 1986, Linsker, 1988] has studied by simulation the evolution of weight vectors under a Hebb-type teacherless learning rule in a feed-forward linear network. The equation for the evolution of the weight vector w of a single neuron, derived by ensemble averaging the Hebbian rule over the statistics of the input patterns, is:!

An Artificial Intelligence Incubation Hub (AIIH), set up jointly by the Army and Bharat Electronics Limited (BEL) as part of a pact inked earlier this year, will be identifying artificial intelligence projects that may be critical for the Army and coordinate the evaluation of trials in those cases, News18 has learnt. As per defence sources, the AIIH will also be tasked with identifying partners from the industry, academia or start-ups to check the feasibility of ideas related to AI projects for implementation and will be responsible for hiring of resources and necessary hardware for validation of suggested AI projects for the force. Based on BEL's research and development expertise and areas where the Army could use AI, the new hub will be working in major domain areas of machine learning, auto-platforms, AI-based swarm technology, robotics, big data analytics, image processing as well as cyber security and AI-based response mechanism. In March this year, the Army and BEL had inked a pact to collaborate in AI for defence applications. The step was taken after the defence ministry had pushed for fast-tracking incorporation of the new tech for defence applications, as part of which the defence services were asked to collaborate with defence PSUs.

"There is a fundamental disconnect between what we roboticists say and what the public perceives," says Ian Reid, deputy director of the Australian Centre for Robotic Vision, in Brisbane. And that leads to the heart of the problem, and what researchers mean when they talk about "robotic vision": using cameras to guide robots to carry out tasks in increasingly uncontrolled environments. Is this another of Ian Reid's "disconnects" between the research world and the public's sci-fi driven expectations? "In rich countries like Japan where there are also demographic challenges, you will see a big increase in social robotics – in aged, robotic companions and robotic pets," Mahony predicts.

RedCat Digital are working with a global consulting business who are building a new Artificial Intelligence Centre of Excellence in London to find a Principal Artificial Intelligence Consultant to join the team. This role will sit in the brand new Artificial Intelligence (AI) Centre of Excellence in London. You will support the practice with depth of experience and expertise in the following domains: automation, machine learning, deep learning, advanced analytics & data science, data aggregation & visualisation. Additionally you will have extensive experience in at least 2 of the following domains: Advanced Analystics & Data Science, Machine Learning, Deep Learning, Automation.

As a more sophisticated model of technology, AI that incorporates machine learning can add a richness to the student relationship with the teacher. As well as facilitating more effective use of teacher time, machine learning provides many other benefits for both teachers and students alike. "The true value of AI lies in its ability to enhance existing teaching practice. It is for these reasons that teachers should incorporate machine learning technology into their classrooms, and in doing so, realise that the true value of AI lies in its ability to enhance existing teaching practice.

Adding more ammunition to the grand AI alliance, Intel, Salesforce, eBay, Sony, SAP, McKinsey & Company, Zalando and Cogitai are joining the Partnership on AI, a collection of companies and non-profits that have committed to share best practices and communicating openly about the prospects and challenges of artificial intelligence research. The group also announced a slew of non-profit partners including the Allen Institute for Artificial Intelligence, the AI Forum of New Zealand, the Centre for Democracy & Technology, the Centre for Internet and Society (India), Data & Society Research Institute among others. The new members expand a group that already counts heavyweights like Facebook, Amazon, Google, IBM, Microsoft and Apple. The platform will be hosting a series of AI Grand Challenges to encourage and incentivize researchers working on AI. It has also announced an award for best paper on the topic of "AI, People, and Society" to aid in addressing a similar goal.

The Future of Humanity Institute (FHI) will be joining the Partnership on AI, a non-profit organisation founded by Amazon, Apple, Google/DeepMind, Facebook, IBM, and Microsoft, with the goal of formulating best practices for socially beneficial AI development. We will be joining the Partnership alongside technology firms like Sony as well as third sector groups like Human Rights Watch, UNICEF, and our partners in Cambridge, the Leverhulme Centre for the Future of Intelligence. The Partnership on AI is organised around a set of thematic pillars, including Fair, transparent, and accountable AI, and AI and social good; FHI is will focus its work on the first of these pillars: Safety-critical AI. Where AI tools are used to supplement or replace human decision-making, we must be sure that they are safe, trustworthy, and aligned with the ethics and preferences of people who are influenced by their actions. Professor Nick Bostrom, director of FHI, said in response to the news, "We're delighted to be joining the Partnership on AI, and to be expanding our industry and nonprofit collaborations on AI safety."

We are at an inflection point in the evolution of artificial intelligence. For decades, AI has been incubating in research labs and at the same time capturing popular imagination with science fiction portrayals of AI. The reality is that thanks to a convergence of increasing compute power, big data and algorithmic advances, AI is becoming mainstream and finding practical applications in nearly every facet of our personal lives. Facebook identifies which friends to tag in photos, algorithms are improving medical diagnosis and saving lives, and GPS-based apps are predicting traffic patterns to optimize driving routes. The AI revolution is also taking hold in our business lives.

We look forward to collaborating with other industry-leading Partnership on AI members to address the challenges and opportunities within the AI field including companies, nonprofits and institutions and with founding members Apple, Amazon, Facebook, Google / DeepMind, IBM and Microsoft; existing Partners AAAI, ACLU, OpenAI; and new Partners: AI Forum of New Zealand (AIFNZ), Allen Institute for Artificial Intelligence (AI2), Centre for Democracy & Tech (CDT), Centre for Internet and Society, India (CIS), Cogitai, Data & Society Research Institute (D&S), Digital Asia Hub, eBay, Electronic Frontier Foundation (EFF), Future of Humanity Institute (FHI), Future of Privacy Forum (FPF), Human Rights Watch (HRW), Intel, Leverhulme Centre for the Future of Intelligence (CFI), McKinsey & Company, SAP, Salesforce, Sony, UNICEF, Upturn, XPRIZE Foundation and Zalando.

Intel, Salesforce, eBay, Sony, SAP, McKinsey & Company, Zalando and Cogitai are joining the Partnership on AI, a collection of companies and non-profits that have committed to sharing best practices and communicating openly about the benefits and risks of artificial intelligence research. The new members will be working alongside existing partners that include Facebook, Amazon, Google, IBM, Microsoft and Apple. Collectively, the partners will be hosting a series of AI Grand Challenges to incentivize researchers to contribute to key roadblocks in the field and to address some of the social and societal ramifications of artificial intelligence research. The group is also announcing a best paper award for the greatest contribution to "AI, People, and Society," to aid in addressing a similar goal. In addition to the paper awards and challenges, the Partnership on AI will also be establishing topic and sector-specific work groups to make good on the group's promise to generate a list of best practices for researchers. The success of these projects depends on being able to build a community around the partnership, independent from larger partners.