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TIME Reveals List of World’s Most Influential People in AI

TIME magazine has revealed its first ever TIME100 AI list, a compilation honoring the 100 most significant individuals influencing the development of artificial intelligence. Some of the most well-known figures in the field of artificial intelligence are at the top of this list, including Elon Musk, Sam Altman, and Demis Hassabis.

The global cover of the 2023 TIME100 AI edition, illustrated by Neil Jamieson, featured 28 remarkable members of the list. Among them are Demis Hassabis, the visionary founder of Google DeepMind, Dario and Daniela Amodei, the dynamic team behind Anthropic, and Sam Altman, CEO of OpenAI, a driving force behind AI breakthroughs.

Time said, “In order to compile the list, TIME’s editors and writers asked dozens of professional sources, including industry experts, for nominations and recommendations. The end result is a list of 100 leaders, innovators, thinkers, and pioneers who are reshaping the AI sphere today.”

Read More: UK to Invest £100m in AI Chips Production Amid Global Competition 

TIME100 AI listed Rumman Chowdhury, CEO & Co-Founder of Humane Intelligence, Lila Ibrahim, COO of Google DeepMind, Sandra Rivera, General Manager of the Data Centre and AI Group at Intel, and Margaret Mitchell, Chief AI Ethics Scientist at Hugging Face as among the women and nonbinary business leaders who have made outstanding contributions to AI.

The list includes notable politicians and political figures in addition to tech titans. Representatives Anna Eshoo and Ted Lieu from the US, Ian Hogarth from the UK’s AI Foundation Model Taskforce, and Audrey Tang from Taiwan are important individuals who are influencing the regulatory environment for AI.

Additionally, the TIME100 AI list recognises academics, researchers, and activists who are profoundly committed to AI bias, ethics, and safety. Yoshua Bengio, Yoshua Tegmark, Emily M. Bender, Kate Crawford, and Timnit Gebru are a few of the other influential voices advancing critical discussions on AI’s effects.

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AI Chip Startup d-Matrix Raises $110 Million in Series B Funding 

d-Matrix raises $110 million Series B funding
Image Credits: d-Matrix

At a time when many chip startups are finding it difficult to secure capital, the Silicon Valley-based artificial intelligence semiconductor startup d-Matrix has raised $110 million from investors that include Microsoft Corp. 

The news comes as Nvidia‘s monopoly on the AI chip market as a result of a formidable combination of hardware and software has scared off potential investors in certain companies. Microsoft and Palo Alto venture capital firm Playground Global were also a part of the Series B fundraising round, which was headed by Temasek of Singapore.

According to CEO Sid Sheth, the Santa Clara firm began its fundraising campaign about a year ago. The company has already raised $44 million, but did not disclose the valuation.

Read More: UK to Invest £100m in AI Chips Production Amid Global Competition

D-Matrix creates chips that are well-suited to power generative AI applications like ChatGPT. The business incorporates digital in-memory compute into the chips’ design so that AI computer programmes can operate more effectively. The company’s chip technology consumes less energy when processing the data needed to generate AI responses.

D-Matrix differentiates itself from Nvidia in part because it does not compete with Nvidia by developing technology that trains large AI models. Instead, it focuses on the “inference” portion of AI processing. According to Sheth, when the chip debuts early next year, Microsoft has committed to testing it for its own purposes.

D-Matrix forecasts sales of less than $10 million this year, primarily from customers that buy chips for testing. The company anticipates revenue of between $70 million and $75 million.

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OpenAI to Host First-ever Developer Conference in San Francisco 

OpenAI first-ever developer conference San Francisco

OpenAI has announced that it will hold its inaugural developer conference in San Francisco on November 6. A keynote lecture and breakout sessions delivered by members of OpenAI’s technical staff will be part of the daylong OpenAI DevDay event.

During the event, the OpenAI team will be joined by hundreds of developers from around the world to showcase new tools and share ideas. “We’re looking forward to showing our latest work to enable developers to build new things,” said Sam Altman, CEO of OpenAI. 

DevDay will primarily take place in person, however some events, including the keynote, will be streamed live. According to OpenAI, registration will start in the upcoming weeks and attendance is anticipated to be upto “hundreds” of engineers.

Read More: UK to Invest £100m in AI Chips Production Amid Global Competition

OpenAI argues in the blog post that its developer community is sizable enough to justify the developer conference. The startup’s wide range of generative AI tools, such as its large language model GPT-4, AI chatbot ChatGPT, text-to-image model DALL-E 2, and automatic speech recognition model Whisper, are used by over 2 million developers.

It is unlikely that OpenAI’s upcoming flagship generative AI model, GPT-5, will be revealed. CEO Sam Altman of OpenAI said in April that the company was not currently training GPT-5 and wouldn’t for some time. But there’s a chance one will find out more about what OpenAI has in store for Global Illumination, the AI design firm it acquired in August and get a status of the release of GPT-4’s image recognition features.

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Zoom Introduces New AI Companion for Subscription Users

Zoom introduces new AI Companion for subscription users
Image Credits: Zoom

The generative AI digital assistant Zoom AI Companion, formerly known as Zoom IQ, has been made available to users of Zoom’s subscription services at no extra cost, according to a blog from Zoom Video Communications. 

The introduction of AI Companion supports Zoom‘s mission to enable limitless human interaction on a single platform, enabling individuals to be more productive, develop new skills, and work more effectively in teams. Zoom’s federated AI method reduces costs while producing high-quality results by dynamically combining its own large language models with those from outside language models with those from outside sources like Meta Llama 2, OpenAI, and Anthropic.

Based on this exclusive approach, Zoom AI Companion offers strong, real-time digital assistant capabilities to aid users. Customers of Zoom can anticipate the presence of AI Companion across the entire platform, including Meetings, Team Chat, Phone, Email, and Whiteboard. 

Read More: UK to Invest £100m in AI Chips Production Amid Global Competition 

Users of Zoom Meetings can review summaries and next steps more quickly, watch recordings faster through highlights and smart chapters, and catch up on missed meetings with AI companion. Users can also save time by composing responses in Zoom Team discussion by using AI Companion, which enables them to quickly write answers based on the context of a discussion thread and to alter tone and length. 

Users of Zoom Whiteboard will be able to use their whiteboard content to make visuals and fill in blank whiteboard templates, and AI Companion will assist them in producing and categorizing ideas. Additionally, Zoom Mail users will have access to additional email ideas starting in the early fall. They also will be able to add meeting summaries to Zoom Notes and summarize meetings by the spring of 2024.

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Intel Signs Foundry Deal with Tower Semiconductors After Failed Acquisition 

Intel foundry deal Tower Semiconductors
Image Credits: Tower Semiconductors

Two weeks after withdrawing its bid to purchase Tower Semiconductor for $5.4 billion owing to regulatory opposition, Intel has announced a contract to provide foundry services and manufacturing capacity to the firm.

In accordance with the new agreement, Tower will invest up to $300 million to purchase and own machinery and other assets that will be put in the US state of New Mexico-based Intel Foundry Services’ manufacturing facility.

As part of the agreement, Intel has agreed to produce Tower’s 65-nanometer power management BCD (bipolar-CMOS-DMOS) flows. Tower operates its own manufacturing plants in Israel (150mm and 200mm), the United States (200mm), Japan (200mm and 300mm), and shortly Italy, thanks to a partnership with STMicroelectronics. 

Read More: UK to Invest £100m in AI Chips Production Amid Global Competition 

According to Intel, this agreement would enable Tower to provide complex analogue processing for 300mm and meet anticipated client demand while increasing its monthly capacity by approximately 600,000 photo layers.

Due to difficulties in getting crucial regulatory licenses, particularly in China, Intel had to abandon the plan to buy Israel’s Tower Semiconductor for $5.4 billion last month. According to the terms of the contract, Tower would get a $353 million termination fee from Intel.

“We started Intel Foundry Services with the long-term goal of offering the first open system foundry in the world, combining the best of Intel and our ecosystem with a safe, sustainable, and resilient supply chain. We’re happy that Tower recognizes the special value we offer and chose us to launch their 300mm U.S. capacity corridor,” said Stuart Pann, senior vice president of Intel and general manager of Intel Foundry Services.

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Meta and Central Government Launch ‘Education to Entrepreneurship’ Initiative

Meta and Central Government Launch ‘Education to Entrepreneurship’ Initiative
Image Credits: Meta

Meta announced a three-year partnership with the Ministry of Education and Ministry of Skill Development and Entrepreneurship to empower students, educators, and entrepreneurs across India. This partnership will bring together Meta’s work across education and skilling, mapping the journey of India’s students from the classroom to the workforce. 

As part of the partnership, Meta signed three Letters of Intent (LoI), one with a national-level council for technical education; one with the All India Council for Technical Education (AICTE); and one with the National Institute for Entrepreneurship and Small Business Development (NIESBUD), which conducts training, consulting, and research to promote entrepreneurship and skill development in India.

One million entrepreneurs will have access to Meta’s digital marketing expertise over the course of the next three years as a part of collaboration with NIESBUD. Additionally, aspiring and established business owners will receive training in digital marketing techniques using Facebook, WhatsApp, and Instagram in 7 regional languages.

Read More: UK to Invest £100m in AI Chips Production Amid Global Competition 

Moreover, 50 impact stories from regional languages will also be identified. The initiative’s implementation partners are Confederation of All India Traders (CAIT) and Federation of Indian Chambers of Commerce & Industry (FICCI).

Dharmendra Pradhan, Union Minister for Education and Skill Development and Entrepreneurship, “Education to Entrepreneurship’ partnership is a game-changer, which will take Digital Skilling to the grassroots. This will build capacities of our talent pool, seamlessly connect students, youth, workforce & micro-entrepreneurs, with futuristic technologies and transform our Amrit Peedhi into new-age problem solvers and entrepreneurs.”

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G20 Summit to Feature AI-Generated Avatar to Welcome World Leaders 

G20 Summit AI-Generated Avatar
Image Credits: NDTV

According to reports cited by Press Trust of India, the G20 Summit would include a “Mother of Democracy” exhibition at Bharat Mandapam, where Heads of State and other senior officials will be greeted by an “avatar” generated by artificial intelligence.

The textual content, along with its audio, is offered in 16 worldwide languages, including English, French, Mandarin, Italian, Korean, and Japanese, authorities told PTI. The exhibition will highlight India’s democratic traditions from the “Vedic period to the modern era.”

According to PTI, the history of India’s democratic ethos will be summed up and retold through 26 interactive screens set up in various kiosks. The source added that the AI-generated avatar will give a brief synopsis of the display to the heads of state, delegates, and other guests that arrive in the exhibition area.

Read More: UK to Invest £100m in AI Chips Production Amid Global Competition 

The exhibition will cover India’s election customs from their earliest times to the present. According to reports cited by PTI, it will span the period from the first general elections held after Independence in 1951–1952 up till the 2019 Lok Sabha elections.

In the display area, a replica sculpture of the Harappan female will also be positioned in the middle of a revolving elevated podium, apart from the screens with AI-generated avatars. The bronze replica will be 5 feet tall and 120 kg in weight, however the actual item is only 10.5 cm in height.

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Harvard Publishes Guidelines for Use of AI in Classroom

Harvard Guidelines for Use of AI in Classroom
Image Credits: Harvard

The Faculty of Arts and Sciences, the largest academic division at Harvard, published its first set of guidelines for instructors on using generative AI in their classes. The Office of Undergraduate Education’s instructions are extensive and provide general knowledge on how generative AI operates and its potential academic uses. 

A fully-encouraging policy, a maximally restrictive policy, and a mixed approach are the three methods that professors can use towards using AI in their courses, respectively. The guideline does not impose one AI policy across the FAS, instead, it offers specific terminology for these three options.

One grounding basis underlying the recommendations, according to Christopher W. Stubbs, dean of science, is that faculty have ownership over their courses. He said, ” I don’t think there is a one-size-fits-all course policy here. What we are requesting of the faculty is that they become informed, that they comprehend the impact this has on the learning objectives for their courses, and then, crucially, that they communicate to students clearly and frequently what their course policy is.”

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The FAS guidelines also expand on university-wide AI policies that were released in July and put a strong emphasis on safeguarding private information. Faculty are not to enter student work into AI systems, according to FAS guidance. Stubbs pointed out that third-party AI platforms own both user-generated prompts and computer-generated responses.

Early last month, the school held two informational meetings for professors on the effects of generative AI in STEM and writing courses. The sessions cover potential uses of AI as an aid for learning, including real-time information synthesis, code generation, and argument evaluation. 

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Helm.ai Raises $55m in Series C Funding Round for Self-driving Technology

Helm.ai raises $55m in Series C funding roun
Image Credits: Helm.ai

Helm.ai, a provider of cutting-edge AI software for robotics automation and autonomous driving, has raised $55 million in its Series C fundraising round. The venture capital firm Freeman Group served as the lead investor in the round, which also includes strategic contributions from Honda Motor, Goodyear Ventures, and Sungwoo Hitech.  

With this financing, Helm.ai has now raised a total of $102M. Helm.ai will utilize the funding for research and development, the commercialization of its self-driving technology, and to carry out its commercial pacts with partners and clients in the automotive and robotics industries.

According to Helm.ai CEO Vlad Voroninski, their Deep Teaching technology enables to swiftly deliver top-notch AI software to Tier 1s and OEMs in a hardware-agnostic manner, accelerating the time to market and enabling the path to software differentiation with high-end ADAS and L4 systems. 

Read More: UK to Invest £100m in AI Chips Production Amid Global Competition

While speaking about the funding, he said, “With this additional funding, we will be able to offer more advanced artificial intelligence solutions for robotics and autonomous vehicle applications and to accelerate the commercialization of our software stack.”

The announcement of Helm.ai’s latest funding round and its recognition from the industry come at a time when the autonomous vehicle industry is undergoing a major shift. According to the CEO, Helm.ai has continued to experience record acceptance and is well-positioned to gain a growing list of customers in the months and years to come, thanks to its generalized, hardware agnostic approach to AI for autonomous systems.

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NVIDIA CEO Meets with PM Modi to Discuss Potential of AI in India 

NVIDIA CEO Meets with PM Modi India
Image Credits: FT

NVIDIA founder and CEO Jensen Huang met with Indian Prime Minister Narendra Modi on Monday, underscoring the company’s expanding ties to the world’s budding technological superpower India.

The meeting took place at 7 Lok Kalyan Marg, the official house of the Indian Prime Minister in New Delhi, as Modi gets ready to host a meeting of the G20 group of the world’s major countries, including U.S. President Joe Biden, later this week. The occasion, which marks Modi and Huang’s second meeting, highlights NVIDIA’s part in the nation’s quickly expanding technological sector.

“Had an excellent meeting with Mr. Jensen Huang, the CEO of NVIDIA. We talked at length about the rich potential India offers in the world of AI,” Modi said in a Twitter post.

Read More: UK to Invest £100m in AI Chips Production Amid Global Competition

After his meeting with Modi, Huang had a casual dinner with a large group of scholars from renowned institutions of science and technology throughout the world, including the Indian Institute of Science and several campuses of the Indian Institute of Technology.

Some of the brightest minds in a wide range of disciplines, including astronomy, medicine, quantum computing, massive language models, and natural language processing, were among the guests.

The evening’s conversations covered a wide range of subjects, including how to use technology to overcome language barriers, increase agricultural yields, close gaps in healthcare services, restructure digital economies, and take on some of the biggest contemporary scientific problems.

NVIDIA started doing business in 2004 in Bangalore, India, which was almost over two decades ago. There are now more than 3,800 NVIDIANs in India, and there are four engineering development centers in the country, one each in Gurugram, Hyderabad, Pune, and Bangalore.

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