Techfest is the annual science and technology festival of Indian Institute of Technology Bombay.[1] It also refers to the independent body of students who organize this event along with many other social initiatives and outreach programs around the year. Techfest is known for hosting a variety of events that include competitions, exhibitions, lectures as well as workshops. Started in 1998 with the aim of providing a platform for the Indian student community to develop and showcase their technical prowess, it has now grown into Asia's Largest Science and Technology Festival[2] with a footfall of 1.75 lakhs in its latest edition.[3][4][5] The activities culminate in a grand three-day event in the campus of IIT Bombay which attracts people from all over the World, including students, academia, corporates and the general public.[6] The very first edition of Techfest was in 1998. The underlying spirit of Techfest was "to promote technology and scientific thinking and innovation" a motto that has been followed by every Techfest since. Techfest '98 also set the broad outlines of Techfest in the form of competitions, lectures, workshops, and exhibitions which went on to become a standard feature at every Techfest. Entrepreneurship also made an appearance in the 1999 and 2000 editions. Technoholix--Techfest in the Dark, showcasing technological entertainment at the end of each day as well as the hub of on the spot activities, made their debut during these years. Techfest 2001-2002 saw the incorporation of IIT Bombay's department oriented events like Yantriki, Chemsplash and Last Straw. Students from G H Raisoni College of Engineering got the Engineering Excellence Award for best design.

AI is a powerful paradigm that cannot be ignored; it will reshape industries and enterprises around the globe. McKinsey estimates that "the adaptation of currently demonstrated automation technologies could affect 50 percent of the world economy, or 1.2 billion employees and $14.6 trillion in wages – China, India, Japan, and the United States--account for just over half of these totals." This promise is compelling, the ability to automate higher order work functions with a digital rather than human workforce is a disruptive force, and tho there are pros and cons, the reduction in costs and increase in efficiency, consistency and transparency is attractive. At Smartlogic, we think the'A' in'AI' would be more representative of today's machines if it stood for'Assisted' (rather than'Artificial') but we don't get to choose the words, so we will use the term AI. Assisted is more appropriate as it suggests a collaborative interplay between humans and machines (which are of course themselves a combination of various bits of hardware, software and networks).

SAN FRANCISCO--(BUSINESS WIRE)--BrainChip, a leading provider of ultra-low power, high performance edge AI technology, has been awarded a new patent for dynamic neural function libraries, a key component of its AI processing chip AkidaTM. During a learning process, values are generated and stored in the synaptic registers of the AI device to generate a training model. Training models are themselves stored in the dynamic neural function library of the AI device, and the function library can then be used to train another device. The innovation was credited to Peter Van der Made, BrainChip founder and CTO, who has been at the forefront of computer innovation for 40 years. Van der Made is the inventor of a computer immune system at cybersecurity developer vCIS Technology, where he served as CTO and later Chief Scientist when it was acquired by Internet Security Systems and subsequently IBM.

In this presentation, Kathrin Melcher, who works as a data scientist at KNIME, will give an overview of KNIME Software, including the open-source tool KNIME Analytics Platform for creating data science applications and services and also the different deployment options you have when using KNIME Server. While the structure is often similar--data collection, data transformation, model training, deployment--each project required its own special trick, whether this was a change in perspective or a particular technique to deal with the special case and business questions. You'll learn about demand prediction in energy, anomaly detection in IoT, risk assessment in finance, the most common applications in customer intelligence, social media analysis, topic detection, sentiment analysis, fraud detection, bots, recommendation engines, and more. Join us to learn what's possible in data science. She holds a Master's Degree in Mathematics from the University of Konstanz, Germany.

An artificial intelligence (AI) tool--trained on roughly a million screening mammography images--identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists, a new study finds. Led by researchers from NYU School of Medicine and the NYU Center for Data Science, the study examined the ability of a type of AI, a machine learning computer program, to add value to the diagnoses reached by a group of 14 radiologists as they reviewed 720 mammogram images. "Our study found that AI identified cancer-related patterns in the data that radiologists could not, and vice versa," says senior study author Krzysztof J. Geras, PhD, assistant professor in the Department of Radiology at NYU Langone. "AI detected pixel-level changes in tissue invisible to the human eye, while humans used forms of reasoning not available to AI," adds Dr. Geras, also an affiliated faculty member at the NYU Center for Data Science. "The ultimate goal of our work is to augment, not replace, human radiologists."

Marta Kwiatkowska is a co-proposer of the Validate AI Conference. She is Professor of Computing Systems and Fellow of Trinity College, University of Oxford. Prior to this she was Professor in the School of Computer Science at the University of Birmingham, Lecturer at the University of Leicester and Assistant Professor at the Jagiellonian University in Cracow, Poland. Kwiatkowska has made fundamental contributions to the theory and practice of model checking for probabilistic systems, focusing on automated techniques for verification and synthesis from quantitative specifications. More recently, she has been working on safety and robustness verification for neural networks with provable guarantees.

Marta Kwiatkowska is a co-proposer of the Validate AI Conference. She is Professor of Computing Systems and Fellow of Trinity College, University of Oxford. Prior to this she was Professor in the School of Computer Science at the University of Birmingham, Lecturer at the University of Leicester and Assistant Professor at the Jagiellonian University in Cracow, Poland. Kwiatkowska has made fundamental contributions to the theory and practice of model checking for probabilistic systems, focusing on automated techniques for verification and synthesis from quantitative specifications. More recently, she has been working on safety and robustness verification for neural networks with provable guarantees.

Mercari is a marketplace app that makes it easy for people to safely sell and ship their things. Launched in 2013, the Mercari app has been downloaded over 100M times in Japan and the US. From fashion to toys, shoes to electronics and beyond, Mercari's mission is to create value in a global marketplace where anyone can buy and sell. Though we have over 1,800 employees, we still have a startup culture, where we encourage people to come up with big, crazy ideas, and to not be afraid of failure. Because the company is rapidly growing, you can set your own path, and there is enough transparency to allow our members to do so.

There is no shortage of ideas in which we might be able to use Machine Learning to change the way our businesses operate. This is certainly the case for many of the world's leading retailers who are looking at how to use Machine Learning to improve the overall operations of their business on many different fronts, from the edge to the core to the cloud. In this blog, we'll provide an overview of how we're able to provide a Machine Learning solutions to enhance the shopping experience in partnership with Malong and their RetailAI software stack. We are excited to share a tangible, working, use-case to show how Dell Technologies, in conjunction with NVIDIA's GPU-accelerated EGX platforms provide an unmatched experience in terms of inference throughput and latency. Let's start here, what is Machine Learning?

What are the practical applications of AI in healthcare? Dr Christoph Zindel, member of the Managing Board at Siemens Healthineers, responsible for the Imaging and Advanced Therapies business segments, has a clear vision. Healthcare IT News (HITN): Dr Zindel, you joined the Managing Board of Siemens Healthineers at the beginning of October. One of your stated goals is to champion digitisation and the use of AI in healthcare. From buzzword to applied technology?