One of the most widely used theoretical frameworks for studying such systems is the Hubbard model [2-4], which captures the essential competition between electron kinetic energy and on-site interactions. Over the years, a variety of methods have been developed to analyze the Hubbard model. In the weak interaction regime, perturbative approaches provide valuable insights [5]. However, outside this regime, non-perturbative effects become significant, rendering pertur-bative techniques insufficient. In these regimes, Monte Carlo simulations become an indispensable tool (see, for example, [6-13] and references therein).

Teresa Berkowitz's experiences with therapists had been hit or miss. "Some good, some helpful, some just a waste of time and money," she says. When some childhood trauma was reactivated six years ago, instead of connecting with a flesh-and-blood human, Berkowitz--who's in her fifties and lives in the US state of Maine--downloaded Youper, a mental health app with a chatbot therapist function powered by artificial intelligence. Once or twice a week Berkowitz does guided journaling using the Youper chatbot, during which the bot prompts her to spot and change negative thinking patterns as she writes down her thoughts. The app, she says, forces her to rethink what's triggering her anxiety.

Tinder is looking to make its popular dating app even safer, rolling out a new feature designed to stop harassment before it starts. Known as'Are You Sure? (AYS),' the feature uses artificial intelligence to detect what it deems'harmful language,' giving users a prompt prior to sending a message that could be considered harmful. The AYS notification has supposedly reduced'inappropriate language' in messages by 10 percent in early testing. Additionally, the company said that members who saw the AYS? prompt were'less likely' to be reported for inappropriate messages over the next month. According to a source familiar with the situation, hate speech, overly sexual content and'all language that goes against community guidelines' are flagged by the AI.

Artificial intelligence and machine learning technologies have made impressive strides in recent years, and thanks to platforms such as cloud, AI and machine learning capabilities are now widely available to organizations of all types and sizes. But as any seasoned technology leader knows, having technology on the shelf doesn't mean it will get accepted or used. It could simply just end up staying on the shelf. Successful AI is a reflection of tireless prep work.Photo: Joe McKendrick I recently caught up with Jack Berkowitz, vice president of products and data science for Oracle Adaptive Intelligence, whose job it is to make sure the technology doesn't end up as shelfware, but is put to good use for the business. He says he sees AI and machine elarning are now being embedded into a range of applications and functions, from supply chain and manufacturing applications to ERP, finance, procurement, human capital management, and customer experience applications for sales, service, marketing and commerce.

As Oracle continues to convert businesses to its cloud applications, it's emphasizing features it calls "practical AI" that draw on remote processing power to speed tasks in recruiting, sales and finance. Oracle showed application features powered by artificial intelligence--including resume-sifting algorithms, automated recommended actions for sales staff, and the ability to negotiate payment discounts with suppliers based on their financial health--during a presentation at the AI Summit in London this month. AI-enabled applications the company will roll out this summer provide "aid in the moment when you need it," said Jack Berkowitz, Oracle vice president for products and data science, during a speech at the conference. Applications featuring adaptive intelligence could entice businesses to move their HR, finance and supply chain management apps from their own data centers to the cloud computing model, under which apps, data and processing power are delivered as online services. Oracle already has delivered business-to-consumer AI capabilities, including online shopping recommendations and personalized ads, as well as AI applications for manufacturing that let customers analyze machines in connected factories.

We could blame Ms. Coffey's husband, Ben Berkowitz, 39, a vice president for digital at WNBC in New York, for turning the family's home into a techie wonderland. Along with that Echo, the family has Google Home, digital home security, a lock with keyless entry, and a Nest thermostat that insists on keeping the internal temperature at a crisp 62 degrees even when people are home. Ms. Coffey has so many apps on her phone monitoring her home that she has lost track of all the things they do. "I appreciate his efforts to computerize our house," she said of Mr. Berkowitz. "I just wish I could turn on a light without having to ask my phone to do it."

Artificial intelligence and machine learning technologies have made impressive strides in recent years, and thanks to platforms such as cloud, AI and machine learning capabilities are now widely available to organizations of all types and sizes. But as any seasoned technology leader knows, having technology on the shelf doesn't mean it will get accepted or used. It could simply just end up staying on the shelf. Successful AI is a reflection of tireless prep work. I recently caught up with Jack Berkowitz, vice president of products and data science for Oracle Adaptive Intelligence, whose job it is to make sure the technology doesn't end up as shelfware, but is put to good use for the business.

"Today, AI augments what we do, but in the future you'll see decisions made by (AI) entities," said Bernt Wahl, executive director of the Brain Machine Consortium. Wahl argues a logical progression of technological advances will result in smarter, more proactive AI systems. "With the web we created all these search engines and collected all this information," said Wahl, adding that systems like IBM's Watson now help determine whether all that information being collected is accurate. "In the future we'll have a'wisdom engine' that can take the knowledge we know is accurate and make decisions based on that,' he said. Jack Berkowitz, vice president of products and data science for Oracle's Adaptive Intelligence effort said AI has proven useful in helping companies filter the massive amounts of new data they're accumulating. "We call our program adaptive intelligence because it's about learning and adaptation and keeping pace," said Berkowitz. "Companies that try to keep up using the kind of rules-based systems we've had for years won't be able to.

Information technology is transforming healthcare, increasingly being used to radically improve care and change many of the ways in which organizations have traditionally practiced medicine. Digital approaches are changing how physicians and healthcare systems diagnose diseases, treat patients and monitor their conditions on an ongoing basis. These new iterations are coming rapidly, as technology enables care to become virtual and patient-centric. Various technologies such as artificial intelligence, natural language processing, medical devices connected via the Internet of Things, smartphone-based apps and more are giving doctors myriad options for revamping patient care. This is disrupting common notions of healthcare and, at the same time, counteracting negative perceptions some clinicians may have had about information technology to date, says Lyle Berkowitz, MD, a medical informaticist and IT entrepreneur based in Chicago.

Artificial intelligence (AI) is THE buzzword of 2017, and is quickly reaching the dizzying heights of'cloud computing' and'big data'. And like the game-changing technologies that have preceded it, AI's implications on marketing are extensive. All the biggest martech vendors are rapidly adding AI into their arsenal: From IBM's Watson cognitive computing platform, to Salesforce's Einstein, Oracle's Adaptive Intelligence, Adobe's Sensei, and Marketo's Adaptive Engagement platform. Equally, there are plenty of startups entering the space – Conversica, Ampsy, Sentient and Complexica, to name a few. Over recent weeks, and during the recent Oracle and Marketo digital marketing summits in the US, CMO heard from and spoke to a raft of different industry players about what actually fits under the umbrella term'AI', the ramifications on the way marketing operates, and importantly, how AI could change consumer buying and engagement behaviour.