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SiMa.ai, Lanner, and AWL Collaborate to Accelerate Smart Retail at the Edge

May 24, 2024 by Gayathri Pariti 0 Comments #AI, #AI Practice at Lanner Electronics, #AI/ML market, #and AWL Collaborate, #Bengaluru, #Elizabeth Samara Rubio, #Lanner, #Maulik Upala, #MLSoC, #SiMa.ai, #The software centric, #Yasuhiro Tsuchida

Bengaluru, May 24, 2024: -SiMa.ai, the software centric, embedded edge machine learning system-on-chip company, today announced a collaboration with Lanner, a leading provider of industrial computing appliances, and AWL, an AI software company specializing in video analytics. The partnership will deliver high-performance edge AI solutions optimized for industry sectors like manufacturing, retail, and transportation.

The integrated solution combines Lanner’s Edge AI appliance EAI-I730 and LEC-2290 with the SiMa.ai Machine Learning System on Chip (MLSoC) PCIe Card platform and Palette™ Edgematic software, along with AWL’s AI-based video analytics software. This enables customers to rapidly deploy AI inferencing at the edge with industry-leading performance and provides real-time multi camera video analytics to interpret ingested frames on the fly. Each SiMa.ai PCIe card delivers up to 50 TOPS performance. LEC-2290 takes one PCIe card whereas EAI-1730 can incorporate up to 4 PCIe cards.

“SiMa.ai Palette Software and MLSoC empowers customers across multiple verticals, such as manufacturing, retail, aerospace, defense, and healthcare, to deploy high performance AI applications at the edge,” said Elizabeth Samara Rubio, Chief Business Officer at SiMa.ai. “The partnership with Lanner and AWL allows us to deliver a joint AI solution offering making it easier for customers to scale embedded AI applications at the edge for retail and manufacturing use cases.”

“SiMa.ai is the clear leader in bringing computer vision intelligence to any device in the edge market through its remarkable fusion of hardware and software innovation,” said Maulik Upala, Director of AI Practice at Lanner Electronics. “In supporting the industry’s widest range of ML models and ML frameworks for computer vision, SiMa.ai ensures our customers can focus on rapid innovation versus implementation.”

“Our collaboration with SiMa.ai enables our customers to deploy real-time, high-performance, accurate retail analytics, enabling them to simultaneously reduce both cost and power-consumption,” said Yasuhiro Tsuchida, CTO of AWL. “The ability to accelerate complete workload pipelines in the SiMa MLSoC, as opposed to ML acceleration only, enables us to provide differentiated, highly performant and optimized solutions for retail environments that are sensitive to cost and power overheads.”

SiMa.ai delivers one platform for all edge AI that scales with customers as their AI/ML journey evolves, from computer vision, to transformers to multimodal generative AI. The SiMa.ai MLSoC enables full pipeline deployment of complete real-world workloads as a standalone edge-based system, with high-performance and power efficiency. SiMa.ai’s MLSoC works seamlessly with Palette Software to empower customers across multiple verticals such as industrial manufacturing, retail, aerospace, defense, agriculture, and healthcare, with increased compute capabilities, while maximizing efficiency by delivering the highest frames per second per watt (FPS/W) performance in the edge AI/ML market.

business

Indian market means so much to us: Denise Eaton Trade & Investment Commissioner for Austrade in South Asia

May 24, 2024 by Gayathri Pariti 0 Comments #AI, #Australian Premiere Anthony Albanese, #Defence Manufacturing, #Denise Eaton Trade & Investment, #FICCI Ladies Organisation, #Hyderabad, #Indian market, #Jennifer Larson, #MSMEs, #Priya Gazdar, #South Asia, #Technology, #Trade & Investment Commissioner, #USD in 2023

Hyderabad, May 24, 2024….FICCI Ladies Organisation (FLO) organised a session “Global Alliances: Strengthening Economic Bridges” featuring Jennifer Larson United States Consular General in Hyderabad; Gareth Owen British Deputy High Commissioner Telangana and AP and Denise Eaton Trade & Investment Commissioner for Austrade in South Asia in the city at the Park on Thursday.

PRIYA GAZDARJENNIFOR_GARETH AND DENISE AT THE GLOBAL ALLIANCES SESSION ORGANISED BY FLO.

Today’s session will serve as a gateway to global trade for our members, said Priya Gazdar, Chairperson of FLO while welcoming the gathering. We are now living in a global village. Trade between nations has become much simpler than in the past. International trade allows companies in general and our members in particular to expand their markets and access goods and services.

No country has so much robust relationship as much as India and the US have. The trade has grown nearly ten times since 2001, to about 200 billion USD in 2023. The strength of our relationship is our people-to-people connections, strong democracy and shared values. It may not be the right time for a bilateral trade agreement or something like a Free Trade Agreement. She ruled out that happening in immediate future because elections in India which followed by elections in the USA.

Jennifer Larson was confident that the bilateral trade between both nations India and the US might touch 500 billion US $ in the next 5 years.

Denise said the trade delegation led by Australian Premiere Anthony Albanese last year to India was very significant. It demonstrates our mutually beneficial relationship and the bond. Modi and Albanese met thrice in the year 2023 itself speaks volumes. Indian market means so much to us. You are the largest market, she added.

Gareth said the educational and cultural exchanges between countries contribute to strengthening our trade relations. Our cultural and people-to-people relations are very strong. The UK is an educational destination for many Indian students. We have 1.3 lakh Indian students studying in our country

Jennifer said the inner Indian studying in the US is increasing year on year. 40 per cent of Indian students in America are Telugu. Telugu is the fastest-growing language in the USA

Speaking on capacity-building to further two-way economic ties between countries, Denise said India and Australia are natural partners. Critical minerals are something we are strong about and India is fast developing battery manufacturing market. I see a mutual benefit in that area.

India is our 12th largest trade partner and we hope to strengthen that relationship to take to the 10th position said Gareth.

A lot of US companies have a presence in Hyderabad. And their last count is anywhere around 200. And I keep going inaugurating them every week. A lot of them have set up their shops on their own accord. It is wonderful to see this and their number is likely go up said Jennifer.

We look forward to Pharma, IT, Defence Manufacturing, Multi brand retail etc for increased cooperation added Jennifer. A US investor has a billion US $ exposure in India and they are likely to triple their exposure, Jennifer shared.

Gareth agreed that access to funds for women, entrepreneurs is always challenging.

Speaking about MSMEs, Jennifer said 80% of new companies set up in the private sector in the US are MSMEs

Denise said they signed an Economic Trade Agreement with India in 2022. It made a lot of difference. Our trade with India increased by 35% last year.

Each of the speakers gave a list of 3 priority sectors for stronger trade relationship. Gareth saw Defence, Education, AI, Technology, Semi-Conductors and ML, Jennifer looked at education as a top priority area as it is worth 9 bn annually contributed to the American economy by Indian students. Green Technology, Solar Panels, Yoga and Ayurveda have emerging markets in the USA. Gareth said saw potential in education, EVs and Clean Energy.

Education

How 3 Educators Are Using Generative AI

May 16, 2024 by Sujata 0 Comments #AI, #EDUCATIONAL TOOLS, #Educators, #FOUNDATIONAL COURSES, #Generative AI, #Gloria Washington, #HALLUCINATIONS – FACTS, #MATERIAL, #PLAYING FIELD, #Poonam Chaudhary, #STUDENT, #Suélia Fleury

When generative AI tools first entered the public sphere in late 2022, many schools and educators gave them icy receptions. Students were passing off AI-generated essays as their own work. And it was very hard to tell the difference.

But relations between educators and generative AI tools have thawed as educators have taken steps to incorporate generative AI into their lessons and allow students to use generative AI tools in class work. Those steps, however, are taken with caution. On one hand, teachers say they want to acknowledge that generative AI will likely be used extensively in professional life. On the other hand, they also need to design coursework that helps students demonstrate their mastery of the subject using their intellect, without the aid of tools.

Here, three educators from different parts of the world – IEEE Senior Member Suélia Fleury from Brazil, IEEE Member Gloria Washington from the U.S., and IEEE Member Poonam Chaudhary from India – discuss how they use AI in the classroom.

SOME SEE GENERATIVE AI AS INEVITABLE

“The use of artificial intelligence is inevitable in educational teaching,” said Fleury. “I have not yet incorporated the application of AI into teaching and lesson plans, but I do not prohibit its use, as I believe it is necessary to address this integration.”

USING GENERATIVE AI REQUIRES DISCLOSURE

“Universities now allow students to use generative AI if they cite it in the homework and assignments they turn in,” Washington said.

IT MAY NOT BE APPROPRIATE FOR FOUNDATIONAL COURSES

“Some courses like ‘introduction to programming’ do not allow first-year students to use tools to generate code,” Washington said. “This is because they are dependent on learning the basics before use of these tools.”

CAN GENERATIVE AI LEVEL THE PLAYING FIELD?

“Generative AI offers students a way to validate their skills, thought processes and knowledge, while simultaneously automating tasks that may not align with their strengths,” Chaudhary said. “Not all students possess every skill set. This diversity can relieve the pressure of achieving mastery in all areas.”

TEACHERS DEFINITELY SEE VALUE IN HELPING THEM TEACH

“The thought of AI in education takes me to a future where it helps me create on-the-fly frequently asked questions, gathers materials that learners with different styles can utilize to practice their skills and allows students ways to interactively verify the theory that underlines topics and concepts,” Washington said.

HOW DO HALLUCINATIONS – FACTS AN AI MODEL MAKES UP – IMPACT THE USEFULNESS OF AI?

“If a person requests [from AI] a brief description of a particular term without having grasped the topic fully, they may end up repeating incorrect and disjointed information generated by the AI,” said Fleury.

VERIFICATION AND VALIDATION ARE STRONG EDUCATIONAL TOOLS

“Teachers and professors are using generative AI to help students teach applied theory,” Washington said. “Essentially, they are starting with a solution or output from the generative AI and asking students to verify the solution via the principles and techniques in class. They have to decide whether the output is valid or not. This is from the standpoint of programming classes, data science techniques and user interface design techniques.”

IF A STUDENT USES AI, CAN WE SAY THAT THE WORK DOES OR DOES NOT REFLECT THEIR MASTERY OF THE MATERIAL?

“The work submitted by students using chatbots can obscure the individual capabilities of each student,” said Chaudhary. “By relying heavily on these tools, students might not engage in critical thinking or explore beyond the information provided by the AI. This reliance on chatbots without validating the information can lead to a superficial understanding of the material.”

Disclaimer: The views and opinions expressed in this article are solely those of the expert(s) and do not necessarily reflect the official policy or position of any organization, employer, or individual mentioned. Any content provided in this article is for informational purposes only and should not be construed as legal, financial, or professional advice.

news

Visa Announces Generative AI-Powered Fraud Solution to Combat Account Attacks

May 8, 2024 by Sujata 0 Comments #AI, #Michael Jabbara, #Paul Fabara, #Visa

May 7, 2024

San Francisco, United States

Threat actors are leveraging sophisticated technologies, like automated scripts and botnets, to amplify their card testing attacks, allowing them to exploit vulnerabilities at an unprecedented scale and speed. These attacks, known as enumeration attacks, inflict operational expenses and $1.1B annually in fraud losses,1 accounting for a significant portion of global fraud. To combat this threat, today, Visa (NYSE:V), a leader in digital payments, announced updates to its Visa Account Attack Intelligence (VAAI) offering with the addition of the VAAI Score, a new tool that uses generative AI components to identify and score enumeration attacks. The VAAI Score, which will be available to U.S. issuers first, will help reduce fraud and operational losses by assigning each transaction with a risk score in real time to detect and prevent enumeration attacks in card-not-present (CNP) transactions.

“Enumeration can have lasting impacts on our clients and there’s an immediate need for tools that can better detect and prevent these attacks in real-time,” said Paul Fabara, Chief Risk and Client Services Officer at Visa. “With the VAAI Score, our clients now have access to real-time risk scoring that can help detect the likelihood of an enumeration attack so issuers can make more informed decisions on when to block a transaction.

Thirty three percent of enumerated accounts experienced fraud within five days of a fraudster obtaining access to their payment information2. By using generative AI, components to learn normal and abnormal transaction patterns, Visa’s VAAI Score identifies the likelihood of complex enumeration attacks in real-time to help reduce fraud without compromising the integrity of Visa’s performance and accuracy. The tool has been able to reduce the false positive rate by 85% compared to other risk models, as the VAAI Score focuses on specific signals for enumeration allowing for a stronger performance3. VAAI Score can help issuers with:

Reduced fraud and operational losses: Helps identify complex enumeration attacks in real time which can help reduce follow-on fraud from validated accounts and operational losses due to enumeration such as customer center calls and card reissuance and help safeguard clients.
Improved cardholder experience: Helps identify when legitimate cardholder transactions are not impacted, while giving issuers a tool to proactively decline transactions at risk for enumeration attacks.
Real-time transaction scoring: Provides a real-time risk score in 20 milliseconds4 which can help clients in identifying enumeration and using it in their authorization decisioning when used with a rules engine.

“With access to advanced technology, fraudsters are monetizing stolen credentials faster than ever before,” said Michael Jabbara, SVP Global Head of Fraud Services, at Visa. “Enumerated transactions impact the entire ecosystem, and with the VAAI Score, we’re giving our clients a sophisticated tool that can help prevent cardholder accounts from being compromised and stop fraudulent transactions before they happen.”

The VAAI Score model has been trained on more than 15 billion VisaNet transactions and has six times the number of features compared to previous VAAI models to help better assess suspicious enumeration transactions. Visa’s approach uses noisy data to train the highly accurate real time AI model. By evaluating each CNP transaction against enumeration patterns, the new risk scoring model derives a two-digit risk score that helps predict the likelihood of enumeration to help better determine when to approve, and when to decline, transaction.

At Visa, security and reliability are top priorities year-round. Over the past five years, the company has invested more than $10 billion in technology, including to reduce fraud and increase network security. More than a thousand dedicated specialists protect Visa’s network from malware, zero-day attacks and insider threats 24x7x365. In FY23 alone, Visa helped to proactively block $40 billion in fraud5, preventing many from ever knowing they were at risk of a potential fraudulent transaction. We encourage consumers to stay alert and think about where they are shopping and who they are sharing their information with stay safe.

news

How To Use AI, Responsibly

May 3, 2024 by Sujata 0 Comments #AI, #Responsibly, #Sukanya Mandal, #Tom Coughlin

In 2021, a group of researchers set out to quantify just how hot the topic of ethics of artificial intelligence had become. They searched Google Scholar for references to AI and ethics. What they found showed a remarkable uptick in this field. In the over three decades spanning 1985 and 2018, they found 275 scholarly articles focusing on the ethics of artificial intelligence. Those journals published 334 articles in 2019 alone – more than they had in the previous 34 years combined. In 2020, an additional 342 articles were published.

Research into AI ethics has exploded, and much of it has focused on guidelines for building AI models. Now, AI-based tools are widely available to the public. That’s left schools, businesses, and individuals to figure out how to use AI ethically – in a way that is safe, free of bias and accurate.

“Much of the public is not yet sufficiently informed or prepared to use AI tools in a fully responsible manner,” said IEEE Member Sukanya Mandal. “Many people are excited to experiment with AI but lack awareness of potential pitfalls around privacy, bias, transparency and accountability.”

HALLUCINATIONS AND INACCURACIES: THE BIGGEST PITFALLS FOR AI USERS

Because of the way they are built, most generative AI models are prone to hallucinations. They simply make things up, and the seemingly authoritative results give the appearance of confidence. That is a risk for users, who may pass on false information. In the U.S., lawyers using generative AI learned this lesson the hard way when they attempted to use chatbots to draft legal documents, only to discover that the AI made up nonexistent cases they cited as precedent in their arguments.

“AI may not always be accurate, so its information needs to be checked,” said IEEE President Tom Coughlin.

CAN WE TRUST THE DECISIONS AI MAKES?

Artificial intelligence models are trained on massive amounts of data, and sometimes they make decisions based on extremely complex mathematical functions that are difficult for humans to understand. Users often don’t know why an AI has made a decision.

“Many AI algorithms are ‘black boxes’ whose decision-making is opaque,” Mandal said. “But particularly for high-stakes domains like healthcare, legal decisions, finance and hiring, unexplainable AI decisions are unacceptable and erode accountability. If an AI denies someone a loan or a job, there must be an understandable reason.”

WHAT HAPPENS IF WE TRUST AI TOO MUCH?

Because AI models are trained on such large datasets, they could lull users into a false sense of confidence, causing them to accept decisions without question.

In “The Impact of Technology in 2024 and Beyond: an IEEE Global Study,” a recent survey of global technology leaders, 59% of respondents identified “inaccuracies and an overreliance on AI” as one of their organization’s biggest concerns when it came to the use of generative AI.

WHY IS IT IMPORTANT TO KNOW WHAT DATA WAS USED TO TRAIN AN AI MODEL?

Imagine this: An AI model used is trained to screen applicants for a job. It forwards resumes to hiring managers based on data collected over prior years and is trained to identify people most likely to get the job. Except, the industry has traditionally been male dominated. An AI could learn to identify women’s names, and thus automatically exclude those applicants, based not on their ability to do the job, but on their gender.

Such algorithmic biases can and do exist in AI training data, making it especially important for users to understand how models were trained.

“Ensuring unbiased data is a shared responsibility across the AI development lifecycle and an ongoing process,” Mandal said. “It starts with those sourcing data being cognizant of the risk of bias and using diverse, representative datasets. AI developers should proactively analyze datasets for bias. AI deployers should monitor real-world performance for bias. Ongoing testing and adjustment are needed as AI encounters new data. Independent audits are also valuable. No one can abdicate bias mitigation solely to others in the chain.”

SHOULD YOU TELL PEOPLE WHEN ARTIFICIAL INTELLIGENCE IS USED?

Disclosure is emerging as a key tenet of AI use. When an AI decides in healthcare, for example, patients should be told. And social media sites also require creators to disclose when AI was used to make or alter a video.

business

Huawei Announces New Inventions That Will Revolutionize AI, 5G, and User Experience

Jun 8, 2022 by Praveen 0 Comments #5G, #AI, #Huawei, #User Experience

Huawei announced a batch of key inventions as part of its biennial “Top Ten Inventions” Awards at the “Broadening the Innovation Landscape 2022” forum held at its Shenzhen headquarters. The award is designed to recognize inventions that could create new series of products, become important commercial features of existing products, or that generate considerable value for the company and the industry.

The awarded inventions range from an adder neural network that significantly reduces power consumption and circuit area to a game-changing “optical iris” that provides a unique identifier for optical fibers. It is designed to help carriers manage their network resources, cutting time and costs associated with broadband deployment.

The announcement came in the context of intellectual property rights, the protection and sharing of which Huawei believes is critical to the tech ecosystem.

“Protecting IP is key to protecting innovation,” said Huawei’s Chief Legal Officer, Song Liuping. “We are eager to license our patents and technologies to share our innovations with the world. This will help broaden the innovation landscape, drive our industry forward, and advance technology for everyone,” he added.

“Huawei is constantly changing itself, and constantly showcasing to the world the value of IP from China,” said Tian Lipu, President of the International Association for the Protection of Intellectual Property’s China Chapter.

By the end of 2021, Huawei held more than 110,000 active patents across over 45,000 patent families. It has more granted patents than any other Chinese company, has filed the most patent applications with the EU Patent Office, and ranked fifth in terms of new patents granted in the United States. For five straight years, Huawei has ranked No. 1 worldwide in terms of Patent Cooperation Treaty applications.

Alan Fan, Head of Huawei’s IPR Department, said the value of Huawei patents has seen wide recognition in the industry, especially in mainstream standards such as cellular technology, Wi-Fi, and audio/video codecs.

“In the past five years, more than two billion smartphones have been licensed to Huawei’s 4G/5G patents. And for cars, about eight million connected vehicles licensed to Huawei patents are being delivered to the consumers every year,” Fan said.

Huawei is also working actively with patent license administration companies in offering “one-stop” licenses for mainstream standards.

“Over 260 companies—accounting for one billion devices—have obtained Huawei’s HEVC patent licenses through a patent pool,” Fan said. He added that the company is in discussions to establish a new patent pool to give the industry “quick access” to Huawei’s patents for Wi-Fi devices worldwide.

Huawei is also discussing joint licensing programs for 5G patents with licensing experts and other leading industry patentees.

Liu Hua, Director of World Intellectual Property Organization Office in China, praised Huawei’s sustained focus on innovation, saying: “We look forward to seeing Huawei continue to take part in high-level global competition with innovation at its core.”

For Manuel Desantes, former Vice President of European Patent Office, given the vast number of changes in the world these days, what matters most is no longer the number of registered patents or inventions. “The IP system should assure that the creations that merit protection are those that bring actual value,” he said.

This marked the third innovation and IP-themed event Huawei has hosted on its innovation practices. Every year, Huawei invests over 10% of its sales revenue into R&D.

In terms of R&D expenditure, Huawei ranked second in the 2021 EU Industrial R&D Investment Scoreboard. In 2021, the company increased its R&D investment to CNY142.7 billion, representing 22.4% of our total revenue. Over the past decade, Huawei’s total R&D investment surpassed CNY845 billion.

Tag: AI

May 7, 2024

San Francisco, United States