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Machine learning pioneer Intellegens today launched the Alchemite Academic Programme, a new initiative that lowers the cost of and makes it easier for university researchers in chemistry, materials research, and life sciences to use its groundbreaking Alchemite technology.

The Intellegens Alchemite software applies a machine learning (ML) algorithm originally developed at the University of Cambridge, simplifying decision-making and speeding-up the work involved in creating new formulations, chemicals, materials, and processes. The new programme, which was announced at this weeks American Chemical Society (ACS) Spring Meeting in Indianapolis, provides simple online access to the Alchemite software at a substantial discount.

Alchemite works by extracting value from real-world experimental and process data. This data is often sparse or noisy, which causes most ML methods to fail. The underlying mathematics of Alchemite overcomes this limitation. Other features include accurate uncertainty quantification for predictions, providing essential guidance to decision-makers, and computational efficiency, delivering fast answers to complex problems.

We have established firm foundations with companies across the chemicals industry and materials and life science sectors, explained Dr Gareth Conduit, CSO and co-founder at Intellegens. Now we want to support further use among the academic community, encouraging knowledge-sharing by enabling Alchemite to be applied in more university-based projects that will lead to scientific publications.

The Alchemite Academic Programme is open to any university researcher for use in non-commercial projects. Use of the software must be referenced in any resulting publications or presentations. Members can licence the software at an 80%+ discount relative to commercial pricing.

In an upcoming webinar on June 14th, Gareth Conduit, who is also a Royal Society University Research Fellow at the University of Cambridge, will explain the Alchemite method and present examples of academic projects that have used the technology in materials, chemistry, battery research, and life sciences. Further information on the webinar and the Alchemite Academic Programme is atwww.intellegens.com/academic.

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Income Tax: The evolution of technology has proved to be beneficial for the finance industry. Artificial Intelligence (AI), data analytics, and machine learning (MI) are predicted to be the future. The Government of India is thus utilising this technology in a complex process like taxation to make the tax filing more effective, free of official discretion, and business- and taxpayers-friendly.

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Data analytics is being used to identify fiscal risks, suspicious trends and patterns, and risky entities in Customs and GST by leveraging big data. Here is how artificial intelligence, machine learning, and data analytics are used in the taxation process:

In 2021, the government rolled out a project ADVAIT (Advanced Analytics in Indirect Taxes), this project uses capabilities of big data and Artificial Intelligence as well. ADVAIT has been envisaged with a threefold objective of enhancing Indirect Tax revenue, increasing the taxpayer base, and supporting data-driven tax policy.

ADVAIT aids and assists officers in their daily operations which range from reporting and ensuring tax compliance to detecting tax evasion.

ADVAIT has been designed and developed in a knowledge-driven data ecosystem using some of the most advanced data warehousing business intelligence solutions, keeping in view the 3 Is: Information, Insights, and Intelligence.

The government is using AI, Machine learning, and data analytics for the following:

-Identifying cases with a high risk of tax evasion and high likelihood of income addition, for further scrutiny.

-Identifying taxpayers to send reminders for advance tax payments.

-Prompting specific taxpayers about apparent mismatches in Income Tax Returns (ITR) and transactions made, so that taxpayers may revise their returns.

-Using big data techniques for storage and effective search of information by income tax officers.

-Using data analytics over networks of taxpayers to visualise the taxpayer's relationships and to flag potential high-risk transactions.

-Using data analytics techniques for the segmentation of taxpayers to focus the campaign on high-risk cases from a tax evasion perspective.

Catch the latest stock market updates here. For all other news related to business, politics, tech, sports and auto, visit Zeebiz.com.

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Amazon is collaborating with IIT Bombay to advance research within speech, language, and multimodal AI. The Amazon- IIT Bombay artificial intelligence / machine learning initiative is a multi-year tie up that will fund research projects, PhD fellowships, and community events.

Amazons growing research and development operations in India have powered engagement with Alexa users in Hindi and Indic languages, and their AI/ML innovations have delivered increasingly delightful shopping experiences, said Rohit Prasad, Senior Vice President and head scientist at Alexa.

Amazon presently serves about 600 million people in India. Its research centre in Bengaluru helps solve conversational AI challenges stemming from Indias diversity22 official languages with over 19,500 dialects.

"This investment at one of the world's premier academic institutions will bring together Amazon scientists and IIT Bombay students and faculty, leveraging India's multilinguality as a learning lab, to develop new AI systems that can learn and adapt to different languages, accents and dialects. These efforts will help advance the technology fundamental to the future of conversational AI, says Prasad.

IIT Bombay ranks among the top engineering institutes in India and is known for producing cutting-edge research in AI/ML. With 45 full-time faculty members, its computer science and engineering department is one of the largest in the subcontinent.

Milind Atrey, IIT Bombays Dean of Research and Development

This collaboration will foster innovation in three ways: through community projects, research projects, and fellowships, which will indeed spur development in AI and ML domains, as well as other areas, as the relationship progresses, said Milind Atrey, IIT Bombays dean of Research and Development.

Amazon and IIT Bombay have existing ties through the Amazon Research Awards program. The most recent award was granted in 2022 to Preethi Jyothi, associate professor of computer science and engineering at IIT Bombay, for her work on fairness in speech recognition.

Subhasis Chaudhuri, Director at IIT Bombay

Our top research minds have always attracted the attention of companies interested in scientific study. With industry collaborators like Amazon who have a deep sense of technology and global reach, we hope to be able to expedite the deployment of technologies/products in the field of AI/ML, says Subhasis Chaudhuri, director at IIT Bombay.

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If youre curious about how the rise of A.I. and machine learning might impact your job, its worth taking a few minutes to read Microsoft co-founder Bill Gatess paper breaking down the future of A.I. (at least as he sees it).

Gates believes that the current ways of interfacing with hardwarevia a graphical user interface, a keyboard, and a mousewill gradually give way to something right out of a science fiction movie. Your main way of controlling a computer will no longer be pointing and clicking or tapping on menus and dialogue boxes, he wrote. Instead, youll be able to write a request in plain English.

He compares this functionality to a white-collar worker or a co-pilot. Eventually, A.I. will impact a variety of job functions in different industries, from healthcare to education. On the software side, the algorithms that drive an AIs learning will get better. There will be certain domains, such as sales, where developers can make AIs extremely accurate by limiting the areas that they work in and giving them a lot of training data thats specific to those areas, he continued. But one big open question is whether well need many of these specialized AIs for different usesone for education, say, and another for office productivityor whether it will be possible to develop an artificial general intelligence that can learn any task.

Will artificial intelligence and machine learning become a job-destroyer? Thats a key worry among many tech professionals, although Gates believes A.I. will enhance rather than destroy jobs. At the moment, even the most sophisticated A.I.-powered chatbots cant fully reproduce what the average tech pro does on a daily basis; although such platforms can generate code and potentially debug software, they obviously cant replicate the soft skills so essential to many jobs, including teamwork, empathy, and communication.

Even from a low-level coding perspective, A.I. can deliver imperfect results, as our testing demonstrated. For the foreseeable future, mastering the best practices for coding and debugging will remain essentialcompanies arent going to turn that functionality over to a chatbot just yet.

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