Additionally,though traditional PINNs (vanilla-PINNs) are typically stored andtrained in32-bit floating-point (fp32) ontheGPU, weshow that for DT-PINNs, using fp64 on the GPU leads to significantly faster training times than fp32 vanilla-PINNs with comparable accuracy. PINNscanbeusedboth to discover/infer PDEs that govern a given data set, and as direct PDE solvers.

The previous blog post in this series considered the current state of the ML tooling ecosystem and how this was reflected in ML adoption in industry. The main takeaway was the widespread use of propriety tooling amongst companies in this field, with a correspondingly diverse and splintered ML tooling market. The post ended by looking at some emerging near-term trends, highlighting the predominance of data observability and related tools, as well as the emergence of MLOps startups. This blog post will pick up from this previous thread to discuss some of the key trends in ML tooling that are likely to dominate in the near future -- or at least ones I want to talk about! As indicated in the previous blog post, I want to focus on MLOps, AutoML, and data-centric AI.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. If there is one thing common to all legal cases, it is documents. In decades past, the evidence collected in litigation was often confined to digging through folders and filing cabinets, in a process called discovery. Today, electronic discovery, or'ediscovery,' is the name of the game – with paper documents replaced by millions of emails, Slack messages and Zoom calls. MarketsandMarkets estimates the global ediscovery market size to grow from $9.3 billion in 2020 to $12.9 billion by 2025.

With more users now banking online, the risk of being duped by fraudsters is higher than before. A May survey by ACI Worldwide and YouGov found that 32% Indians were using digital payments more, while 31% were recently targeted by a card or digital payments fraud or know someone who was. According to a 2019 RBI report, losses due to banking frauds have grown by 73.8%. Dilip Asbe, MD, CEO, National payments Corporation of India (NPCI), said that many banks in India have already launched fraud detection robo advisory services for investments. Asbe was speaking at the global AI summit RAISE (Responsible AI for social Empowerment), being held online from October 5-9. Also, speaking at the summit, T Rabi Shankar, executive director at the Reserve Bank of India (RBI), agreed that AI backed robo advisory services have a lot of potential.

The Internet of Things (IoT) has turned into a guide of digital transformation for some companies across industries. The disruptive innovation enables organizations to remain associated with their users to give a definitive customer experience. For instance, in view of the insights it can uncover, companies can come up with one of a kind, creative approaches to appreciate and impact customer movement including behavior and purchasing patterns. With that, they can change the way buyers' access data while furnishing organizations with significant information which can help increase financial advantages. Utilizing IoT for activities, for example, predictive maintenance and resource management alone has the potential monetary impact of $4 trillion to $11 trillion by 2025. Out of the 8.4 billion devices everywhere throughout the world, just 1% are connected.

These are some of the startup names one would not easily recall from the Indian entrepreneurial ecosystem but such B2B companies are the potential game-changers with investors also shifting their focus on to them. The numbers are also doing the talking. The investment in startups across segments such as Artificial Intelligence (AI), Fintech, Logistics and Software as a Service (SaaS), which typically falls in the B2B category, touched $6.1 billion, with investment in 575 firms since 2016 till now, according to data provided by YS Research. Among these segments, fintech topped the chart in terms of funding with $4.4 billion, followed by logistics at $838 million, reveals YS Research. The recently-unveiled'The India Startup Report – 2018' by YourStory says: "Significant transformations are occurring in the organisational world and business ecosystem, which open up opportunities for startups in the B2B (business to business), B2E (business to employee) and B2B2C (business to business to customers/consumers) products. SMAC technologies (social, mobile, analytics, cloud), AI, and ML are disrupting big businesses and are enabling agile strategies for a new generation of enterprises and small and medium-sized businesses, though these are early days for block chain."

At Smart City Ahmedabad Development Corporation's (SCADL) goal is to emancipate the quality of services to citizens, reduce expenses and reduce time to respond to any issues using leading technologies, be it Internet of Things (IoT), Artificial Intelligence (AI) or Machine Learning. SCADL tends to get as close as it can to the root cause of problems, draw out necessary patterns by cognitive analytics and figure out a scientific data drive befitting long term solution to these issues. This all will lead it to take governance to the citizens without intermediaries and have maximum citizen connect. Areas in which IoT is being used IoT is one of the many key technologies which SCADL has used extensively across various interventions. The use of IoT has led to enhanced situational awareness, sensor-driven decision analytics, optimised resource consumption and instantaneous control and response in complex autonomous systems.

There is less than just a handful 10,000 number of specialized talent in AI in the entire world. The war for AI talent, henceforth, would be ruthless enough to easily dwarf the challenge for spotting good software engineers. As it happens, you know that machine thinking has begun to usurp human thinking. Despite India's global dominance in offering cheap engineering talent at scale, young AI companies in India are looking for alternate ways to suck in what's available. Particularly for data scientists wherein the essence of AI skills lies - ranked 0.8 on Belong's talent supply index.

Less than a year since the release of the Assassin's Creed film adaptation, Ubisoft is set to revisit the world of its hit game franchise in the form of an anime series. Producer Adi Shankar claims the show will be his next project, after Netlifx's Castlevania -- making him the go-to guy for animated video game adaptations. Shankar took to Facebook to make the announcement, adding that Ubisoft approached him to create an "original story." That's all we know about the project thus far. Seeing as Shankar managed to assemble an eye-catching roster of talent for Castlevania (including comic book scribe Warren Ellis and Adventure Time's Kevin Kolde) it will be interesting to see who he calls on this time around.

A week after Donald Trump's election, a thirty-year-old cognitive scientist named Maya Shankar purchased a plane ticket to Flint, Michigan. Shankar held one of the more unorthodox jobs in the Obama White House, running the Social and Behavioral Sciences Team, also known as the President's "nudge unit." When she launched the team, in early 2014, it felt, Shankar recalls, "like a startup in my parents' basement"--no budget, no mandate, no bona-fide employees. Within two years, the small group of scientists had become a staff of dozens--including an agricultural economist, an industrial psychologist, and "human-centered designers"--working with more than twenty federal agencies on seventy projects, from fixing gaps in veterans' health care to relieving student debt. Usually, the initiatives had, at their core, one question: Could the growing body of knowledge about the quirks of the human brain be used to improve public policy? For months, Shankar had been thinking about how to bring behavioral science to bear on the problems in Flint, where a crisis stemming from lead contamination of the drinking water had stretched on for almost two years. She wondered if lessons from the beleaguered city could inform the Administration's approach to the broader threat posed by lead across America--in pipes, in paint, in dust, and in soil. "Flint is not the only place poisoning kids," Shankar said. In recent years, behavioral science has become a voguish field. In 2002, the Israeli psychologist Daniel Kahneman won a Nobel Prize in Economic Sciences for his work with a colleague, Amos Tversky, exploring the peculiarities of human decision-making in the face of uncertainty. A basic premise of the discipline they'd helped to create was that people's cognition is bias-prone, and susceptible to the cognitive equivalent of optical illusions. As a result, small tweaks of presentation or circumstance could make a major difference: if a judge rendered a decision about granting parole just before a meal, the inmate's odds for a favorable outcome dipped to near zero; just after the judge ate, the chances rose to around sixty-five per cent. Grocers had learned that they could sell double the amount of soup if they placed a sign above their cans reading "limit of 12 per person." But, for all the field's potential, its advances seemed mostly to have served the private sector. A prominent exception was the "nudge," a notion advanced by the legal scholar Cass R. Sunstein, now at Harvard Law School, and the University of Chicago behavioral economist Richard Thaler, in their 2008 best-seller "Nudge: Improving Decisions About Health, Wealth, and Happiness."