Showing posts with label Artificial Intelligence. Show all posts
Showing posts with label Artificial Intelligence. Show all posts

Wednesday, August 9, 2023

It’s not so much machines we should worry about

In the 1940s a journalist asked Claude Shannon, one of the founders of information theory, “can machines think?” Shannon said, “I compute so.” Both his distinction, between thinking and computing, and their deliberate conflation in his aphorism help us understand the current spectacle around ‘AI’. Governments worldwide have moved from a position of “we’re catching up” ignorance, to embarking on “regulating AI”, to a self-regulatory Bill of Rights.

Read the full article on Page No. 14 in the Print edition of The Times of India dated 8th August 2023.


Friday, June 23, 2023

Machine-Learning Tool Easily Spots ChatGPT’s Writing ChatGPT’s academic papers were caught 99 percent of the time

Since OpenAI launched its ChatGPT chatbot in November 2022, it has been used by people to help them write everything from poems, to work emails, to research papers. Yet, while ChatGPT may masquerade as a human, the inaccuracy of its writing can introduce errors that could be devastating if used for serious tasks like academic writing.

A team of researchers from the University of Kansas has developed a tool to weed out AI-generated academic writing from the stuff penned by people, with over 99 percent accuracy. This work was published on 7 June in the journal Cell Reports Physical Science.

Heather Desaire, a professor of chemistry at the University of Kansas and lead author of the new paper, says...

Monday, February 3, 2020

The Human-Powered Companies That Make AI Work

The hidden secret of artificial intelligence is that much of it is actually powered by humans. Well, to be specific, the supervised learning algorithms that have gained much of the attention recently are dependent on humans to provide well-labeled training data that can be used to train machine learning algorithms. Since machines have to first be taught, they can’t teach themselves (yet), so it falls upon the capabilities of humans to do this training. This is the secret achilles heel of AI: the need for humans to teach machines the things that they are not yet able to do on their own.

Source: https://www.forbes.com/sites/cognitiveworld/2020/02/02/the-human-powered-companies-that-make-ai-work/#4c738345670c

5 Soon-to-Be Trends in Artificial Intelligence And Deep Learning

Artificial intelligence is frequently discussed yet it’s too early to show real gains. AI’s major headwind is the cost of the investment, which will skew returns in the short-term. When the turnaround occurs, however, companies who are making the investment can expect to be rewarded disproportionately with a wide performance gap. In a recent report, McKinsey predicts AI leaders will see up to double the cash flow.

To read the full article, please visit:
https://www.forbes.com/sites/bethkindig/2020/01/31/5-soon-t0-be-trends-in-artificial-intelligence-and-deep-learning/#3813411b5e56

Friday, September 13, 2019

AI could improve police paperwork: MHA think tank

BPRD’s futuristic vision for law enforcement , especially in smart cities, Prime Minister Narendra Modi’s ambitious project, is part of a concept note the body has drafted.
In a recent interview with The Economist, author Malcolm Gladwell, too discusses the importance of AI in the criminal justice system.(HT image)


The use of Artificial Intelligence in police paperwork, including charge sheets could remove flaws and prejudices from creeping into investigations, India’s Bureau of Police Research & Development (BPRD), a think-tank of the ministry of home affairs (MHA), believes.

BPRD’s futuristic vision for law enforcement , especially in smart cities, Prime Minister Narendra Modi’s ambitious project, is part of a concept note the body has drafted.

“A machine-learning algorithm can generate chargesheets specific to an incident with complete legal validity without any exclusions or non-conformity. This allows minimal manual intervention; hence the scope for malicious intent is not there in any way and the ability of the legal system to prosecute to the fullest extent of the law is always available. In the charge sheet, references from other judgements as well as other outcomes can also be included to make it more effective,” reads the note, a copy of which has been seen by HT.

Asserting that AI based systems have outperformed lawyers as well as judges in some cases, the BPRD note adds: “A neural network based system over a period of time can also create sensor based inputs in order to predictively allow for the analysis of outcome of cases as well, helping speed up the judicial process. The consequent burden on the policing system goes down”.

In a recent interview with The Economist, author Malcolm Gladwell, too discusses the importance of AI in the criminal justice system. Citing an example of judges taking bail decisions, Gladwell says, “..Defendants stand in front of the judge, the judge has to decide whether I released this person until the trial or I put the person in jail. Are they likely to commit another crime in the interim? That’s an extremely difficult decision to make. And when we look at how effective judges are in predicting the dangerousness of the defendant, they are not very good at it. But look how the machine learning algorithm tends to do better, actually much better than the judge. So there is an instance where we have clear evidence that a disembodied computer can be more accurate in making a prediction about the human being than a judge.”

Gladwell, however, also argues that there is a need to combine both the decision making of humans and AI, a view that many proponents of AI have also advocated.

According to BPRD, AI models coupled with crime mapping can be developed “to analyse crime patterns and identify hotspots which act as a useful tool for predictive and preventive policing”.

The police can also use AI based on algorithmic software at a crime scene for immediate recognition of perpetrator (s) based on modus operandi, pattern of crime/criminals in the area, biometric data, forensic data etc, the note claims. The BPRD note cites the example of San Francisco based Deep Science AI which has developed AI Surveillance (AIS) platform which uses deep learning to identify real people concealing their faces/firearms of intruders.

AI can also be used to manage traffic in smart cities, BPRD has suggested in its note.

To be sure, all this needs integrated data on video surveillance of public places, a wide CCTV camera network, sensors just about everywhere, databases of criminals, information on public transport, real-time tracking of events, and other such, the note admits. It also adds that privacy concerns need to be factored in while using such technologies.

When asked how AI can help police smart cities, Tarun Wig, co-founder of Innefu, a data analytics and cyber security company which provides predictive intelligence systems to various government institutions said: “The AI based system will read the text on a particular case which has to be charge sheeted and extract data on similar charges and relevant law provisions. It can read the type of crimes and tell police how to use its resources”.

BPRD and MHA officials did not respond to queries seeking comment on the concept note.

Friday, August 16, 2019

Why AIoT Is Emerging As The Future Of Industry 4.0

Two trends that are dominating the technology industry are the Internet of Things (IoT) and Artificial Intelligence (AI). But for industrial automation, these two technologies are much more than the buzzwords or trending topics. The convergence of AI and IoT will redefine the future of industrial automation. It is set to lead the Industry 4.0 revolution.

To read the full article, please visit:

Tuesday, July 23, 2019

Behind cutting edge AI work, Lucknow woman who set out to be a doctor

Hailing from Lucknow, Abidi joined the chipmaker as a software engineer and is now responsible for deep learning framework software optimisation for Intel’s top of the line Xeon processors.


To read the full article, please visit:

Friday, April 5, 2019

Artificial Intelligence can help in treating brain tumours: Study

The study showed that using a reference database with MRI scans of patients, the algorithms automatically recognised and localised brain tumours using artificial neural networks. 

brain tumour, brain
Artificial Intelligence can help in treating brain tumours  |  Photo Credit: Thinkstock
London: Researchers have developed an artificial intelligence-based (AI) method for analysis of brain tumours, paving the way for individualised treatment of tumours.
According to the study, published in the The Lancet Oncology, AI machine learning methods, carefully trained on standard magnetic resonance imaging (MRI), are more reliable and precise than established radiological methods in the treatment of gliomas. 






Source: 

7 Indicators Of The State-Of-Artificial Intelligence (AI), March 2019

  1. AI “Sputnik moment” (say it in Chinese*) is at hand
  2. AI continues to be popular among business executives, regardless of complications, concerns and confusion
  3. The race against the machine is on. Still, some humans trust AI more than their governments.
  4. “AI” is the new “Big Data” and the new “New Economy.” Tech bubbles are defined by poorly-defined terms and the proliferation of billion- and trillion-dollar forecasts leading to investors’ irrational exuberance
  5. After years in the (mostly Canadian) wilderness followed by (almost) seven years of plenty, Deep Learning is officially recognized as the dominant AI paradigm
  6. AI is not perfect and will never be. Same as the humans using AI.
  7. AI is not perfect. Smart and well-endowed people hope it can be improved by establishing research and education centers focusing on “multidisciplinary collaboration and diversity of thought”
To read in-depth about the above points, please visit:

Wednesday, April 3, 2019

Eye on A.I.— Celebrating the Godfathers of Deep Learning


Bengio (Photo by Maryse Boyce), Hinton (Photo by Keith Penner), LeCun (Photo, courtesy of Facebook)
By JONATHAN VANIAN 
April 2, 2019
Artificial intelligence’s growing importance, in both business and research, is largely because of Yoshua Bengio, Geoffrey Hinton, and Yann LeCun—otherwise known as the “godfathers of deep learning.”
Last week, the trio won the annual Turing Award, the technology world’s equivalent to the Nobel Prize, presented by the Association for Computing Machinery. Their research has led to huge breakthroughs in computers translating languages and identifying objects and people in photographs.
At the heart of the men’s research are neural networks, the software created decades ago to mimic how the human brain learns. The technology plays a huge role in artificial intelligence and its close cousin, deep learning.
The analogy of neural networks being like the human brain is something many A.I. researchers and neuroscientists loathe because it oversimplifies an extremely complicated process. “That’s okay,” Bengio, a University of Montreal computer science professor and co-founder of enterprise startup Element AI,said in an interview with Fortune a day before his Turing Award was publicly announced.
For years, the A.I. community ignored neural networks in favor of other techniques that are more closely related to conventional computer programming. But more advanced computer chips and access to Internet data supercharged the power of neural networks, which could now be fed enormous amounts of information so they could identify patterns and, thereby, learn.
“Because as we train these systems with more data, they just get better,” Bengio said.
He recalled how difficult it was to get funding when he initially studied neural networks. Ultimately, the Canadian government kicked in some money. Today, in contrast, artificial intelligence attracts big money from governments and venture capitalists, with most of the investment in the U.S. coming from businesses. Bengio only hopes that other technologies, especially those currently lacking buzz, also have easy access to cash.
“We need to be careful to nurture that spirit and not try to say, ‘That’s the end of it,'” he said.
LeCun, now Facebook’s chief A.I. scientist, also talked with Fortune about his early research into neural networks. During those experiments, he said he focused more on creating computers that “think” rather than how the technology would be applied in real life. But now LeCun believes big breakthroughs are imminent, mostly from businesses that specialize in areas including medical imaging, self-driving cars, and even garden maintenance (i.e. lawnmowers that know to trim only weeds instead of roses). What’s certain is that companies will use the technology in ways he never envisioned.
Says LeCun, “It’s not like we have a monopoly on good ideas.”

Monday, April 1, 2019

Need for legal framework, new global norms before using robotics, AI in defence: Lieutenant General P J S Pannu

SOUNDING A note of caution on incorporating robotics and artificial intelligence (AI) in warfare, deputy chief of Integrated Defence Staff (doctrine organisation and training) Lieutenant General P J S Pannu stressed on the need of a legal framework and fresh international convention for using the twin technologies in the defence sector.
“When you are defending your nation, the legal provisions of your country will obviously be supportive of you. But when it comes to fighting a human being, ethics will come in. What if something goes wrong with the system, which has been created by human beings?” Lt Gen Pannu said. He was speaking at the inauguration of a seminar-cum-exhibition on ‘Military Robotics and Autonomous Systems’ at the Military Institute of Technology (MILIT), Girinagar, near Pune.
The event, which seeks to commemorate the Raising Day of MILIT, is a first among a series of seminars planned on the topic of military robotics, autonomous systems and artificial intelligence (AI).
To read the full article, please visit:

Is the Future Of Artificial Intelligence Tied To The Future Of Blockchain?

Introduction
Since the beginning of modern times, each industrial revolution was driven by different automation. While factory machines and fossil fuels drove the previous industrial revolutions, the on-going automation revolution is based on data-driven artificial intelligence (AI). Understanding its impact and what will be required to support the AI-driven automation revolution is a fundamental necessity.
So, as we evaluate the impact and the support needed to harness this automation revolution, it seems that at the center of this revolution is the growing need for computing power. There are indicators that raw computing power is on its way ......
To read the full article, visit:

An Artificial Intelligence Course Designed For Everyone By One Of The Topic's Most Prolific Teachers

One of the world's leading artificial intelligence teachers is back with a new course designed for the general public. Andrew Ng's latest Coursera.com course is a high-level overview of the principles of machine learning, along with how these elements can be applied to business. It doesn't require much at all in the way of a math background, which should be a relief to folks who are intimidated by the multivariate calculus or programming involved in many machine learning courses.

To read more, visit:
https://www.forbes.com/sites/gregoryferenstein/2019/03/31/an-artificial-intelligence-course-designed-for-everyone-by-one-of-the-topics-most-prolific-teachers/#752c64c76c12 (Accessed on April 1, 2019)

Wipro and IIT Kharagpur partner for advanced research in 5G and AI

Wipro Limited, a leading global information technology, consulting and business process services company, and Indian Institute of Technology Kharagpur (IIT Kharagpur), today signed a Memorandum of Understanding (MOU) to collaborate on high-impact, industry-focused applied research in the areas of 5G and AI.

Research outcomes from this partnership will be leveraged by Wipro to develop solutions for its customers, across industry verticals. IIT Kharagpur will benefit from the commercialization of the joint research insights and Wipro's real-world industry expertise.

Wipro and IIT Kharagpur will jointly take up applied research projects on industry challenges related to the design, planning and operations of 5G networks and cognitive information processing for the automation of these processes and 5G use cases. The two organizations will focus on AI research applicable in the healthcare, education and retail sectors as well as in domains such as climate change and cybersecurity. In addition, subject matter experts from Wipro and IIT Kharagpur will promote knowledge sharing through guest lectures, workshops and seminars on 5G and AI.

IIT Kharagpur is pursuing research projects in areas including front and backhaul optical networks, vehicular ad hoc networks, interplanetary networks, channel estimation, optimized resource allocation, Multiple-Input & Multiple-Output (MIMO) and millimetre wave communications, secure communication & amp; cross-layer optimization and multimedia transmission for 5G. Student research groups are also working on Network Function Virtualization (NFV) and Software Defined Networking (SDN), which holds immense potential in 5G telecommunication. In addition, the institute is also working on foundational research in AI Algorithms, formal methods, machine learning, deep learning, graph mining and analytics, game theory and mechanism design.

Wipro offers end-to-end 5G solutions for network equipment providers, network service providers, smart cities and enterprises in the media & entertainment, manufacturing, energy and utility verticals. This involves touch points across all network layers such as radio access, backhaul, transmission network, core network, orchestrator, OSS-BSS systems, edge & amp; public cloud and application ecosystem.
Wipro has developed automation solutions, powered by its artificial intelligence platform - Wipro HOLMESTM. Through algorithmic intelligence and cognitive computing capabilities, Wipro HOLMESTM accelerates the digital journey of enterprises and enhances operational efficiency, economics, and user experience across applications, infrastructure management, and key business processes. Wipro has significant expertise and several use cases in the application of AI across industry domains. In addition, Wipro's Data Discovery Platform (DDP), which has advanced analytics and AI at its core, offers Insight-as-a-Service across industries.

"Wipro is delighted to partner with IIT Kharagpur and strengthen our ties with the academic research community in India. AI and 5G are critical technologies poised to create opportunities that will significantly enhance customer experiences across industry verticals. We hope to bring together the synergies of Wipro's rich industry technology expertise and understanding of domain-specific business challenges with IIT Kharagpur's distinguished research capabilities to co-innovate and develop next-generation AI and 5G solutions that will benefit both our clients as well as the industry at large," said KR Sanjiv, Chief Technology Officer, Wipro Limited.

"Our partnership with Wipro comes at an opportune time and holds tremendous potential for co-innovation. 5G is expected to provide ubiquitous connectivity for diverse applications such as automotive communications, remote control with haptic style feedback (using artificial intelligence), large video downloads, automation of enterprise functions and low data rate applications. For instance, cars of the future will speak to each other to help avoid accidents and also share information about the road conditions ahead. With the advent of 5G, IoT will be extensively used in our day-to-day life, across industry sectors as well as in Smart City and Smart Home concepts because of enhanced connectivity, the speed of communication and reduced round-trip time latency", commented Prof PP Chakrabarti, Director, Indian Institute of Technology Kharagpur.

This story is provided by BusinessWire India. ANI will not be responsible in any way for the content of this article.

Wednesday, March 27, 2019

New interdisciplinary course in Robotics, Artificial Intelligence: BEg Mechatronic can help you be a cobotisist

If you are imaginative and creative and want to play a part in developing the robots of the future working alongside humans, then you are a future 'cobotisist'


university of essex, essex, new course, AI courses, mechatronics, education news
Interested candidates can apply at essex.ac.uk. (Representational Image)
The University of Essex, United Kingdom is set to launch a new course called Bachelor’s in Engineering in Mechatronic Systems – an interdisciplinary field of electrical, mechanical, robotics, electronics, computer engineering, telecommunication systems and product engineering. The three-year undergraduate course will begin from the academic year 2019-20 onwards and the applications process for the same has already begun at the official website — essex.ac.uk. The last date to apply is June 30, 2019.
According to Anthony Vickers, head, School of Computer Science and Electronic Engineering, University of Essex, the course will teach students to design, build and test robotic systems and including the structural frame. The design of the structural frame is the unique element that separates mechatronics from electronic and robotics.
Modules include 3D printing technology, drives and power electronics, computer programming, sensors and digital signal processing, motion control algorithms, computer vision, robotics and embedded systems are also going to be part of the course curriculum.
Talking to indianexpress.com, Vickers said, “If you are imaginative and creative and want to play a part in developing the robots of the future working alongside humans, then you are a future cobotisist”.
If there is one thing that we can be sure about the 21st century, it is that robots will be with us in increasing numbers. Here in the School of Computer Science and Electronic Engineering at Essex, we like to use the term cobotics — the collaborative working of humans and computers. The new course will align with new research areas within the school, and to provide completeness to our work in cobotics,” he adds.
Who can apply?
Indian students who have completed class 12 or equivalent can apply for the course. The minimum marks required for the course includes an overall average from the four best subjects (excluding PE and local language). For CBSE, CISCE and other regional and national boards, the minimum requirement is 75-70 per cent, including 60 per cent marks in mathematics and 70 per cent in English.
For Karnataka, Madhya Pradesh and Uttar Pradesh boards minimum requirement is 60 per cent, including 60 per cent marks in mathematics. Students who have cleared class 12 from West Bengal board will need 55 per cent marks, including 55 per cent in Mathematics and at least 60 per cent class 10 Science exam.
Placement Scenario
As part of the course, students can undertake a placement year but students will be responsible for finding their placement. The university, told indianexpress.com, that it would ‘support and guide’ them to find a placement.  If students complete a placement year they will only pay 20 per cent of their usual tuition fee to Essex for that year.

The artificial-intelligence approach to teaching English in rural India

Artificial Intelligence is drawing a lot of interest from corporates, start-ups and the government because of its potential for business and social transformation. Indian AI sector has seen 18% YoY growth in 2018 and NITI Aayog has also identified five prioritysectors— health, education, agriculture, smart cities and smart mobility in its research paper on National AI Strategy.
ISTOCK
Globally, the total economic value derived from AI is predicted to reach USD 3.9 Trillion by 2022. Hence, this is the right time for innovation in AI-based applications for improving the quality of life of rural population of India, especially in primary sectors. TEACHER SHORTAGE Indian village schools suffer from persistent shortage of qualified teachers. Globally, there is a need for 24.4 million primary school teachers to achieve UNESCO’s goal of universal primary education by 2030. In India, although the overall pupilteacher ratio (PTR) has been improving gradually, most of the teachers in rural areas lack proper training.
This is further aggravated by the fact that India has nearly 100,000 schools, mostly in villages, which are single-teacher schools. This impacts PTR negatively and leads to deterioration of learning experience of the students eventually affecting their motivation to attend classes regularly. Under these circumstances, teaching of all subjects, including English, has suffered a lot across schools in villages. This vacuum in rudimentary education is very difficult to fill using skill-based trainings done later. Unless this conundrum is resolved, ensuring employability of a huge segment of population, is going to be a persistent challenge. Hence, there is an urgent need to augment the teaching community at village schools using digital technologies as well as AI . LANGUAGE TEACHING English has emerged as universally accepted “lingua-franca” globally as well as across India. But various surveys have revealed the state of English language skills of Indian students. Especially, among rural students, the situation is worse, and it affects their employability in various customer facing roles across industries. Teaching of English can benefit from various capabilities of NLP (Neuro Linguistic Programming) technique of AI to make it more effective. On one hand, it helps the students to pick up right skills at right pace, and on the other hand, it exposes teachers to emerging digital technologies. WRITING SKILLS Various NLP-based techniques, generated using (machine learning) ML and word processing, can be used to automate the process of teaching writing English to students. For example, automatic detection of incorrect spellings/punctuations, grammatically incorrect phrases or sentences, generating reward points for correctly formed sentences and such. The process can be made more engaging by starting with partially filled paragraph templates on chosen topics, where students work on correctly guessing and filling the blanks by adding words, phrases, sentences appropriately. Another advanced technique namely, words/phrase prediction on partially constructed sentences can help students to fill the gaps/void which they face while writing a paragraph on some topic. Such a model of Automated Assisted Learning (AAL) enables more experimentation, innovative thinking. Even for translation, the process that is a part of a student understanding the subjects, there are NLP models trained on language translation, which includes the relevant dictionary mapping (e.g. Hindi->English). SPEAKING AND READING For most Indian children, spoken English practice follows learning of writing skills. It is also true that many students who acquire good writing skill, still fear speaking in English, which is perceived as essential skill by employers. One way to help young people to come out of this is to engage them in regular English conversation. A chatbot, like Google Personal Assistant, trained on topic-based conversation can really help students to learn speaking English. To start with, the student can try pronouncing individual words correctly (by listening to pronunciation of the chatbot), followed by speaking individual phrases and complete sentences.
As availability of appropriate corpus is an important pre-requisite of building such a learning application, initially such a model can be targeted for teaching English to students speaking most common languages, such as Hindi, Marathi, Bengali, Punjabi or Tamil.

Source: Hindustan Times dated 27 March, 2019

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