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) …
IBM's new AI Hardware Composer tool aims to boost the performance of analog AI hardware. The tool is being released on the second anniversary of the IBM Research AI Hardware Center. IBM's pioneering centre launched in 2019 with the aim of improving AI hardware compute efficiency by 2.5 times every year for a decade. AI Hardware Composer claims to help both novice and experienced developers to create neural networks and tune analog devices to build accurate AI models. The new tool can be used with IBM's existing Analog Hardware Acceleration Kit (AIHWKIT), an open-source Python toolkit for exploring and using the capabilities of in-memory computing devices in the context of artificial intelligence.
Here's a look at how the cloud leaders stack up, the hybrid market, and the SaaS players that run your company as well as their latest strategic moves. IBM said it will acquire process mining company myInvenio as it aims to automate more business processes. Terms of the deal weren't disclosed. IBM and myInvenio, based in Reggio Emilia, Italy, launched a partnership in November. According to IBM, myInvenio can use its platform to find the best business processes to automate with AI.
IBM is releasing a new module as part of its open-source quantum software development kit, Qiskit, to let developers leverage the capabilities of quantum computers to improve the quality of their machine-learning models. Qiskit Machine Learning is now available and includes the computational building blocks that are necessary to bring machine-learning models into the quantum space. Machine learning is a branch of artificial intelligence that is now widely used in almost every industry. The technology is capable of crunching through ever-larger datasets to identify patterns and relationships, and eventually discover the best way to calculate an answer to a given problem. Researchers and developers, therefore, want to make sure that the software comes up with the most optimal model possible – which means expanding the amount and improving the quality of the training data that is fed to the machine-learning software.
As artificial intelligence (AI) becomes more pervasive and embedded in life-changing decisions, the need for transparency has intensified. There have been plenty of high-profile cases in recent years where AI has contributed to bias and discrimination, with the use of facial recognition for policing just one example. There is a high probability of a shift from loose self-regulation to government involvement in AI over the next couple of years. In turn, Big Tech is increasingly using AI to solve the privacy and bias problems that the technology itself created. Listed below are the key technology trends impacting the AI theme, as identified by GlobalData.
The Cleveland Clinic will rely on state-of-the-art IBM technology to support its latest public health project. High-performance cloud computing, artificial intelligence, and a couple of quantum computers: IBM is going all-in with a freshly signed, decade-long partnership that will see Big Blue provide the technology infrastructure for a new research center dedicated to public health threats such as the COVID-19 pandemic. The Ohio-based Cleveland Clinic, a non-profit institution that combines clinical and hospital care with medical research and education, will use state-of-the-art IBM technology to support its latest project: a global center for pathogen research and human health. Supported by a $500 million investment, the new center will be dedicated to the study of viral pathogens, virus-induced diseases, genomics, immunology and immunotherapies. To assist researchers' work preparing for and protecting against emerging pathogens, IBM has designed a "Discovery Accelerator" – contributing the company's latest capabilities to better support data-based scientific work and fast-track the discovery of new treatments.
It can be difficult to understand exactly what's going on inside of a deep learning model, which is a real problem for companies concerned about bias, ethics, and explainability. Now IBM is developing something called AI FactSheets, which it describes as a nutrition label for deep learning that explains how models work and that can also detect bias. AI FactSheets is a new addition to Watson Open Scale that will provide a plain-language description of what's going on inside deep learning models. The software, which is expected to be generally available soon, can work with AI models developed by Watson Studio, or any other AI model accessible from a REST API. After being exposed to the model, AI FactSheets generates a PDF with information about bias, trust, and transparency aspects of a given deep learning model.
Artificial intelligence adoption has the ability to reshape practically every industry, including retail, healthcare services, transportation, and manufacturing. Furthermore, it will probably make immense fortunes for some in the process. Thanks to its more extensive features and impressive advantages, an ever-increasing number of organizations are investing in artificial intelligence to reinforce and meet their business objectives. Henceforth, numerous organizations are taking a look at the best AI stocks for investment purposes in 2021. The top AI stocks to buy range from chip creators, software companies and tech giants that use AI tools in numerous applications.
IBM has designed an artificial intelligence system that can debate with humans. The company published a paper in the journal called Nature, where one of the team members described the AI system and how well it performed against a human opponent. Chris Reed, a professor in the University of Dundee has published a News & Views article in the same journal throwing light on the history and development of artificial intelligence as a disruptive technology based around the types of logic used in human arguments and the system created by IBM. As Reed explains in his piece, debating is a skill that humans have been perfecting for thousands of years. It's usually a type of discussion in which a person or a group persuades others that their opinion on a subject is right.
IBM has released the 2021 edition of its Women Leaders in AI, adding 40 people from 18 countries to the growing ranks of its annual program. In 2021, highlighting women leaders is more important than ever because of pandemic-driven challenges that are affecting women's role in business, IBM said. One effect that COVID-19 has had on women in the workplace is a reduction in leadership representation: Fewer women are holding senior or C-level leadership roles in 2021 than they were in 2019, IBM said. "As AI adoption continues to accelerate, we believe that diverse teams are needed to help build and implement trustworthy AI that can help mitigate bias and deliver explainable outcomes," said Ritika Gunnar, vice president, Expert Labs, IBM Cloud and Cognitive Software. The 40 women included in this year's list "were selected based upon the ways they are using AI as a transformation agent to help drive results for their organizations and the employees, customers and citizens they serve," IBM said.