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View: Identity theft to bullying and extortion, your cyber insurance policy covers these risks – CNBCTV18

The world has witnessed a rapid digital transformation in the past few years. While this ensured equitable access to products and services, it also raised security risks and concerns in equal proportions.

For most parts, the internet is a democratic space making it easier to get privy to personal information. Worldwide reports affirm that over two in five people feel more vulnerable to cyber crimes than they did before COVID-19. The National Crime Records Bureau (NCRB) stats indicate that 50,000 plus cyber crime cases were reported in 2020. Not to forget, several cases go unreported too.

Identity theft

Things like social media or net banking are an integral part of our lives. However, they also bring along a very real threat to data security and privacy, the breach of which can lead to dire consequences.

For instance, someone can hack into your account, assume your identity and ask your contacts for money or post something that can lead to legal trouble.

Similarly, if your bank account gets hacked and you suffer a financial loss due to an unauthorised transaction, cyber insurance provides a safety net against these risks and may compensate you even in cases where your bank wont.

Cyber-bullying and extortion

With cheap data plans, the internet can turn into a scary place in no time. Reports suggest that India was the third most targeted country in Asia for cyber crimes in 2021.

Its not uncommon to come across cases of blackmailing or extortion by cyber predators. In fact, the cases of cyberbullying and extortion have witnessed a massive upswing after the pandemic.

Ransomware or malware intrusion

Ransomware refers to malicious software blocks access to ones computer. It even threatens to publish vital personal information until a ransom is paid. Cyber insurance covers such risks and shields you financially. Also, if you undergo a loss of data or valuable information, cyber insurance will also provide coverage for its restoration.

In todays digital world, apart from implementing robust cyber security measures, it is equally important to have cyber insurance, should those measures fail. Dont forget to comb through finer details of what your policy might not include or discuss it with your insurer before purchasing the policy.

The author Evaa Saiwal is Practice Leader Liability & Financial Risk at Policybazaar.com. Views expressed are personal.

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View: Identity theft to bullying and extortion, your cyber insurance policy covers these risks - CNBCTV18

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A.I. gurus are leaving Big Tech to work on buzzy new start-ups – CNBC

DeepMind co-founder Mustafa Suleyman, who recently left his VP of AI product management and AI policy role at Google, also co-founded the machine learning start-up Inflection AI. Suleyman has already hired several of his former colleagues.

Bloomberg | Getty Images

Artificial intelligence gurus are quitting top jobs at companies like Google, Meta, OpenAI and DeepMind and joining a new breed of start-ups that want to take AI to the next level, according to people familiar with the matter and LinkedIn analysis.

Four of the best-funded new AI start-ups Inflection, Cohere, Adept and Anthropic have recently poached dozens of AI scientists with backgrounds in Big Tech.

Their hiring efforts are being fueled by venture capital firms and billionaires keen to cash in on any success they have. Collectively, these firms have raised over $1 billion and they're using these vast war chests to poach talented individuals who command high salaries from their previous employers.

The start-ups are building their products and services with a relatively new "architecture," which is a set of rules and methods that's used to describe the functionality, organization and implementation of a computer system.

The new architecture developed by a team of Google staff in 2017 and now available for anyone to use is known as a "transformer."

The transformer allows AI systems to be scaled in ways that had never been considered before, meaning it's possible to make them far more powerful and capable.

"When you started scaling up these models, the capabilities just grew in a way that I think no one predicted," Cohere CEO Aidan Gomez told CNBC. "It was like a total shock."

OpenAI's GPT-3 and Dalle-E, Google's Bert, and DeepMind's AlphaFold and AlphaStar are all examples of breakthrough AI systems that are underpinned by a transformer.

Launched in March, Inflection AI has already raised over $225 million despite having fewer than 10 employees, according to LinkedIn.

Headquartered in California, the company's aim is to develop AI software products that make it easier for humans to communicate with computers.

It is led by DeepMind co-founder Mustafa Suleyman, who recently left his VP of AI product management and AI policy role at Google. LinkedIn billionaire Reid Hoffman and former DeepMind researcher Karen Simonyan are the other co-founders.

Suleyman has already hired several of his former colleagues.

Former DeepMinder Heinrich Kuttler left his research engineering manager role at Meta AI in London in March to become a member of the founding team at Inflection, working on the technical side of the business, according to his LinkedIn page. Elsewhere, Joe Fenton left his senior product manager role at Google in February also to become a member of the founding team at Inflection, working on the product side of the business.

More recently, Rewon Child, a former Google Brain and OpenAI researcher, joined Inflection as a member of technical staff. Inflection has also hired Maarten Bosma, who was previously a research engineer at Google.

Meta and Google did not respond to a CNBC request for comment.

One of Inflection's best-known investors is Greylock Partners, a renowned venture capital firm in Silicon Valley that made early bets on the likes of Facebook (now Meta) and Airbnb. Hoffman and Suleyman are partners at the firm.

On a call with CNBC in March, Suleyman said: "If you think about the history of computing, we have always been trying to reduce the complexity of our ideas in order to communicate them to a machine."

He added: "Even when we write a search query, we're simplifying, we're reducing or we're writing in shorthand so that the search engine can understand what we want."

When humans want to control a computer, they need to learn a programming language in order to provide instructions, he added, or use a mouse to navigate and engage with things on the screen. "All of these are ways we simplify our ideas and reduce their complexity and in some ways their creativity and their uniqueness in order to get a machine to do something," Suleyman said.

The British entrepreneur claimed a new suite of technologies that Inflection will aim to develop will eventually enable anyone to speak to a computer in plain language. It's unclear at this stage who Inflection will sell its products to, at what price, and when.

Inflection is competing for talent with Cohere, which was founded in Toronto in 2019 by Aidan Gomez, Ivan Zhang and Nick Frosst.

Cohere, which has raised around $170 million from the likes of Index Ventures and Tiger Global, wants to create an interface that allows software developers to use complicated AI technology on their apps.

This AI technology, known as natural language processing, or NLP, should allow developers to deploy new features and services into their software products.

"We want to build that toolkit that's accessible to any dev," CEO Gomez told CNBC on a call.

AI luminaries and DeepMind alums Ed Grefenstette and Phil Blunsom are among the latest AI scientists to join Cohere, with the duo announcing last month that they've joined the firm.

Grefenstette is Cohere's head of machine learning and Blunsom is the company's chief scientist.

They'll also be responsible for helping to set up a new Cohere office in London, which has become a hotbed for AI talent over the last decade. Indeed, DeepMind now employs over a thousand people in the city, many of them PhDs.

They'll likely be able to scout out promising potential recruits from two of the U.K.'s leading universities. Grefenstette is an honorary professor at UCL, while Blunsom is a professor at Oxford.

Another firm making waves is Anthropic, which is led by OpenAI's former VP of research Dario Amodei.

Anthropic describes itself as an AI safety and research company. It says that it wants to build "reliable interpretable, and steerable AI systems."

Amodei set up the firm with help from several other ex-OpenAI employees, including Jack Clark, Tom Brown, Sam McCandlish and his sister Daniela Amodei.

It launched in 2021 and announced it had secured $124 million from a cohort of investors including Skype co-founder Jaan Tallinn and former Google CEO Eric Schmidt.

In April, the company announced it raised another $580 million, and according to LinkedIn, it now has 41 staff.

Another AI start-up that's been built by some heavy hitters in the field of machine learning is Adept AI Labs.

The co-founders include CEO David Luan (previously a director at Google Research and VP of engineering at OpenAI), Niki Parmar (formerly a staff research scientist at Google Brain) and Ashish Vaswani (also a staff research scientist at Google Brain).

The San Francisco-based company, which is just a few months old and has raised $65 million, is on a mission to build general intelligence that enables humans to work together creatively.

It wants to create a sort of AI assistant that workers can collaborate with to solve almost anything together. While this tool will initially be productivity-focused, the firm hopes that everyone will be able to use its AI technology in the medium term.

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DeepMind’s Ithaca: Humans and AI combine to rediscover the past – Verdict

In March 2022 DeepMind, an artificial intelligence company, announced it had developed Ithaca, a deep neural network trained to restore and attribute ancient Greek inscriptions.

Ancient Greek inscriptions have shaped our understanding of the Mediterranean world from 800BC to late antiquity. Inscriptions refer to text written on durable materials such as stone and pottery. Unfortunately, these materials are typically not durable enough to remain perfectly preserved for two millennia.

Therefore, the epigraphic evidence of this period is often damaged by the time it is uncovered and the inscribed texts are incomplete as a result. Restoring (filling in missing words) and attributing (identifying chronological and geographical origins) damaged inscriptions can shed light on the past.

Ithaca relies on deep learning to restore damaged inscriptions. Deep learning is a subset of machine learning. It uses artificial neural networks that are modeled on the way neurons in the human brain communicate, with multiple layers of processing that are used to extract progressively higher-level features from the data. This means a deep learning algorithm can recognize patterns in databases without a human choosing the features the algorithm should pay attention to. The algorithm can then predict the outcome of new, similar datasets based on those patterns. The more data a deep learning algorithm has to analyze, the more accurate its predictions will be.

Ithaca has been trained to restore ancient Greek inscriptions on a database of just under 80,000 inscriptions from the Packard Humanities Institute. By recognizing patterns in elements such as language choice and style, across such an extensive database, the theory is that Ithaca will be able to fill in the blanks of damaged inscriptions based on probability.

According to its creators, Ithaca achieved a 62% accuracy rate when restoring incomplete inscriptions by itself. This is a significantly higher rate of accuracy than historians, who, on average, achieved a 25% accuracy rate. However, historians achieved a 75% accuracy rate when they used Ithaca to restore inscriptions. In other words, the highest accuracy rate was achieved when historians expertise and contextual knowledge were combined with Ithacas ability to detect statistical patterns across tens of thousands of inscriptions.

Therefore, Ithaca has been designed not as a replacement for historians, but as a tool for them to use when studying epigraphic evidence. For example, rather than returning a single text restoration and geographical attribution, Ithaca provides a list of possibilities ranked according to probability. This range of suggestions can combine with a historians contextual knowledge to provide the best chance of correctly restoring and attributing epigraphic evidence. Ithaca also shows which words contributed the most to its prediction, enabling historians to understand the AIs thought process.

Using Ithaca in this way is astute because there are weaknesses in how an AI naturally approaches inscription restoration. Deep learning systems are defined by the databases they learn from. If these databases are insufficiently diverse, the systems prediction accuracy will vary depending on the input data. Imagine an AI is being used to identify types of trees. If the AI is trained on a database that includes significantly more images of oak trees than beech trees, the AI will more accurately identify oak trees than beech trees. This issue has, for example, embedded racial bias into AI-based facial recognition systems. In 2018, an MIT researcher tested the facial recognition systems of Microsoft, IBM, and Megvii. The error rate for light-skinned men was less than 1% but just under 35% for dark-skinned women.

The style and language of ancient Greek inscriptions vary depending on the time and geographical area in which they were written and the purpose of the inscription. Two inscriptions separated by enough chronological and geographical distance can be in different dialects of ancient Greek. A legal decree will differ stylistically from a poetic verse or joke inscribed on pottery.

The database Ithaca has been trained onconsisting of roughly 80,000 inscriptions from the Packard Humanities Institutewill be better at restoring and attributing certain inscription types than others. This is because the c.80,000 inscriptions that constitute Ithacas database are unevenly dispersed across 84 different geographical regions. Attica in Greece houses by far the largest share of these inscriptions, followed by nearby Delphi and Lydia in modern-day Turkey. The prevalence of Attic inscriptions will be bolstered heavily by inscriptions from Athens, many of which are legal decrees. These inscribed decrees became more frequent in the fifth century as Athens democracy radicalized, the governance of its growing empire became increasingly intrusive, and war broke out between Athens and Peloponnesian city-states.

As a result, Ithaca will be better at restoring and attributing Athenian decrees than it will be at restoring and attributing, say, Spartan commemorative trophies at holy sites. Far more Athenian decrees have reached us than Spartan commemorative trophies, and far more Athenian decrees will be included in Ithacas database.

This is another reason why using Ithaca to aid rather than replace historians is the right idea. A historians experience and contextual knowledge are all the more important when the inscription in question is of a type that constitutes a relatively small share of Ithacas database. Whatever Ithaca has to offer epigraphic restoration, the emphasis on assisting rather than replacing historians with AI is entirely prudent because of the way humans and machines can complement each others strengths and mitigate each others weaknesses.

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‘The Sessions’ is a deep dive into my mind: Draymond Green – United News of India

New Delhi, June 14 (UNI) Prime Video on Tuesday released the official trailer of The Sessions: Draymond Green.

The special presentation is a gripping tale of NBA superstar Draymond Green that explores the mind of one of todays most polarising athlete, known as much for his intense demeanour on the court as for his playmaking abilities. The renewed focus on athletes mental well-being, in addition to their physical health, means figures like Green are looking for ways to make big changes in their lives, the makers said in a statement.

It pairs Green with spiritual-and-wellness legend Deepak Chopra and master healer and well-being educator Devi Brown, renowned experts who have dedicated their lives to understanding the human condition. Together, theyll have to answer a critical question: Can this future hall-of-famer learn to train his mind as well as his body, they said.

Im excited for the world to see me go on a journey they couldve never imagined me embarking on, said Green in a statement.

Meditation, Zen, and mindfulness bring a new balance for me. The Sessions starts a deep dive into the mind of me, Draymond Greenthe player, the father, and the person. I hope you enjoy this journey as much as I did, he said.

It is a co-production of Amazon Studios and Religion of Sports, and is directed by Religion of Sports Gotham Chopra.

Ive had a lot of existential angst the last week as Ive wrestled with the conflict I have between rooting for my hometown team, the Boston Celtics, and my friend, partner, and subject of The SessionsDraymond Green, said Chopra.

Fortunately, we have produced something special that deals with this sort of emotional explosion in the cauldron of competition. On a more serious note, we couldnt have built The Sessions around a more appropriate subjectsomeone fiery, impetuous, talented but also thoughtful, curious, candid, and super smart. No matter the outcome of the series and no matter what the commentators say, I believe Draymond now has the inner arsenal to navigate success and failure, winning and losing, because he has a stillness inside him that cant be swayed. I cant wait to see how audiences will react, added Chopra.

It will premiere on June 17th on Prime Video.

UNI PY GNK

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Wistron Medical Technology Dives Deep into Digital Health and Precision Medicine Markets with its Forward-Looking Tech Services – Yahoo Finance

TAIPEI, June 14, 2022 /PRNewswire/ --Wistron Medical Technology (WMT) is a wholly-owned subsidiary of Wistron Corporation, which has vowed to take Wistron's more than 20 years' experience and networks in information and communication technology (ICT) design and manufacturing into the field of digital health and precision medicine.

Wistron Medical Technology (WMT) digitizes healthcare information and facilitates a cloud-based, light-weight dialysis management systemBestShape Chronic Kidney Disease Care.

WMT digitizes healthcareinformationand facilitatesa cloud-based, light-weight dialysis management systemBestShape Chronic Kidney Disease Care, which transmits warnings when detecting a drop of blood pressure in terminal-stage renal patientsby using AI technology.It provides greatsupport to front-line health workers and makes optimal care possible.

With holistic medicine in mind, WMT also launched a healthcare platform, Health 365, which brings medical institutions and the healthcare industry together, hoping to provide comprehensive chronic disease care to chronic patients and senior groups and medical services to enterprise employees, so as tocreatean inclusivehealth ecosystemin their country.

Developing precision medicine that enables superior healthcare quality and outcomes has become a global trend. WMT is cooperating with the Kaohsiung Veterans General Hospital to develop a digital pathology platform powered by Intel's OpenVINO open-source toolkit: OWL. Based on FHIR and mCODE specifications and on disease detection algorithms driven by AI, it produces structured reporting that saves doctors considerable time in writing pathology reports. It is also an industry first that OWL makes possible pathology-slide browsing and/or labeling and doctors' online meetings, shortening the time needed for data cleaning and lesion labeling and optimizing the quality of AI models.

Taiwan is a pivotal partner in the global semiconductor and ICT supply chains, and its high-quality medical services and technologies are also widely recognized. The combination of the two is a forward-looking medical technology island.

Story continues

Medical Taiwan DigitalGO (June 923) is an integrated B2B business-matching online trade show where products and services from various sectors of the healthcare industry are on display, including medical devices; textile applications; raw materials and components; smart healthcare; and beauty and/or skin care. Come join us and explore business opportunities and blue oceans in healthcare.

Wistron Medical Technology Corporation: https://en.wistronmedtech.com/

Medical Taiwan DigitalGO: https://virtual.medicaltaiwan.com.tw/en/index.html

SOURCE Medical Taiwan

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The Phone Booth of the Mind – The New York Times

A crowd gathered in Times Square recently for the removal of what the city promoted as New Yorks last public pay phone. End of an Era, declared the news release headline, even though the era when pay phones played any meaningful role in New Yorkers lives certainly ended long ago.

One might be forgiven for feeling a bit nostalgic. Pay phones are vestiges of the analog world, before the Ill be 15 minutes late text, when long-distance was a consideration and people on calls in public got their own private booths.

People miss a period of time when a call meant something, Mark Thomas of The Payphone Project told The Times. When you planned it and you thought about it, and you took a deep breath and you put your quarter in.

Ive been considering the familiar refrain about smartphones, that theyve made our lives easier to navigate at the expense of our manners, our attention, our safety while driving. We may be physically present, but were never really there.

Pay phones were stationary monotaskers. Before cellphones, if you wanted to talk to someone, you did it at home, at work or in a booth. Your telecommunications were contained to these discrete spaces, separate from the rest of your life. Pay phones may be nearly obsolete, but theres nothing stopping us from reinstituting some of their boundaries in a post-pay-phone world.

What might this look like for you? For me, it would mean pulling over to the side of the road to send a text rather than dictating my message to Siri. Id step out of the pedestrian flow and into the phone booth of the mind to listen to voice mail. I wouldnt check social media while waiting for a friend to arrive at a bar. Long phone calls would take place at home, not while Im on a walk or sitting on a park bench, ostensibly enjoying the outdoors.

My sentimental ideal of the phone booth Richard Dreyfuss calling Marsha Mason from outside her apartment in the rain at the end of The Goodbye Girl is a time capsule, a romantic vision of the past. But the phone booth as metaphor, as inspiration for creating boundaries between virtual and real life, still seems useful today.

Programming note: Starting this week, my colleague Gilbert Cruz, the Culture Editor at The Times, offers his recommendations for what to watch, read, listen to and more. Scroll down to the Culture Calendar to check them out. Melissa

The Tony Awards (Sunday): Even for someone like me, whose job it is to experience oodles of culture, its difficult to see all the Broadway shows. (And if you dont live in or near New York City, its impossible.) So Im thrilled that Ill get to see highlights from musicals like Six, Company and The Music Man. Thats thrilled with a capital T and that rhymes with you get what Im saying.

The Hotel Nantucket (Tuesday): It doesnt feel like summer unless I read an Elin Hilderbrand book, which Ive done every year for almost a decade. They mostly take place on Nantucket and theyre full of secrets and romantic drama and beaches. Ive read my fair share of novels involving magic and dragons, but fancy New England island living often feels more fantastical to me than anything from George R.R. Martin.

Spiderhead (Friday): Speaking of islands, this Netflix movie based on a George Saunders short story about futuristic drug experiments is set on one of those beautiful ones in the middle of nowhere where shady things happen. If you need a strong dose of Chris Hemsworth before this summers Thor: Love and Thunder, heres where to find it.

Who doesnt love a flexible recipe that can absorb all the odds and ends in the fridge and result in something truly delicious? This speedy pad kee mao recipe from the chef Hong Thaimee is a perfect example. The key is to throw in loads of garlic, fresh chiles and whole basil leaves, which make anything taste amazing. Just pick a protein and a quick-cooking vegetable or two I recently used shrimp, broccolini and chard and use the widest rice noodles you can get. Note that if you dont have thick dark soy sauce, adding brown sugar to regular soy makes up for the missing sweetness. Cook this once and its yours to play with forever, a zippy, spicy weeknight meal that you can make from what youve got.

A selection of New York Times recipes is available to all readers. Please consider a Cooking subscription for full access.

Azerbaijan Grand Prix, Formula 1: Were about a third of the way through the Formula 1 season, and its been thrilling. Redesigned cars have helped the Ferrari team climb near the top, while the seven-time champion Lewis Hamilton is struggling. If youre in the U.S. and dont want to wake up early to watch a race, check out Drive to Survive, a Netflix documentary series focused on the sports personalities. It has turned countless Americans into fans. 7 a.m. Eastern on Sunday, ESPN

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Moonlight Kingdom: Lunar movements and their association with the body and mind – VOGUE India

Understanding this sacred and metaphysical aspect of the moon and its many aspects moon requires faith in our ancestral lineage of myths and storytelling, in the profane and the profound of our multifaceted existence, and our everyday cultural shine and shadow of lifes experiences (the latter immortalised in Pink Floyds magnum opus, The Dark Side Of The Moon). Most importantly, we need to believe that beyond the physical, there is the psychic world of intuition, dreams, visions and phantasies, what the eminent psychiatrist Carl Jung called prima materia, the unconscious world. It is no wonder, that in full moon ceremonies performed across the world, with bhav, or spiritual attitude, the sanctity of the moons 28-day cycle is deeply cherished. The cyclethe waxing and the waning of the mooncircling the Tree of Life, the seers say, activates our moods, emotions and desires. And upon deep meditation and reflection, perhaps, gives us a glimpse of the joy of living in the now. It is seeing the roots, trunk and branches of creation all at once, with a sense of awe, wonder, and of course, immense gratitude. And we all have all felt it, as with gratitude comes inner calm or bliss. This is spiritual sustainabilityknowing that all creation is sacred and we are all one.

The cycle of life and death, bloom and decay, the finite and the infinite, symbolised by the celestial journey of Purnamafrom the fullness of the moon, to Amavasya, the absence of the mooncan have a profound impact on our inner wellness. Ancient moon rituals of creating a sacred space, setting intentions, spreading love, which originated in the rich heritage of India, Egypt and Babylonia, amongst others, are practised till date, especially by indigenous communities. If it sounds hokum to some, that is okay. But if we believe in the laws of attraction, there is every possibility that we will manifest and realise our dreamsnot only of material wealth and well-being, but of spiritual wealth, which is the building block of compassionate people who respect the environmentearth-loving sentient beings who become better, more elevated version of themselves.

An image of Europa, Jupiters moon, captured at dawn using a violet filter, NASA Image and Video Library

The new moon is often called the seed moon, a time for the seeding and planting of new ideas. Natures wondrous cycles teach us everything about inner and outer cleansingfrom spring cleaning of homes to the birth of new ideas, of clearing the residues of harsh winters and sunbathing or moon-bathing in order to welcome new journeys in life. The seeds that you plant in the new moon are nurtured in the quarter moon and reach fruition in the full moon.

So here is a thought. In our current world, full of strife and uncertainty, the moon can teach us the calm in the cyclical order of the cosmos, our interconnectedness and our inherent power to rise, rejuvenate and rejoice. So go ahead and plant your seeds in the new moon and decide how you want to spend your time on Mother Earth.

Lunalogy: is it really possible to change your life by harnessing the power of the moon?

How to manifest your goals with the help of the moon cycle

Are you passionate? Impulsive? This is what your moon sign says about your emotional personality

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Farming takes a warped mind | Local – Ashland Daily Press

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How Microsoft Teams uses AI and machine learning to improve calls and meetings – Microsoft

As schools and workplaces begin resuming in-person operations, we project a permanent increase in the volume of online meetings and calls. And while communication and collaboration solutions have played a critical role in enabling continuity during these unprecedented times, early stress tests have revealed opportunities to improve and enhance meeting and call quality.

Disruptive echo effects, poor room acoustics, and choppy video are some common issues that hinder the effectiveness of online calls and meetings. Through AI and machine learning, which have become fundamental to our strategy for continual improvement, weve identified and are now delivering innovative enhancements in Microsoft Teams that improve such audio and video challenges in ways that are both user-friendly and scalable across environments.

Today, were announcing the availability of new Teams features including echo cancellation, adjusting audio in poor acoustic environments, and allowing users to speak and hear at the same time without interruptions. These build on AI-powered features recently released like expanding background noise suppression.

During calls and meetings, when a participant has their microphone too close to their speaker, its common for sound to loop between input and output devices, causing an unwanted echo effect. Now, Microsoft Teams uses AI to recognize the difference between sound from a speaker and the users voice, eliminating the echo without suppressing speech or inhibiting the ability of multiple parties to speak at the same time.

In specific environments, room acoustics can cause sound to bounce, or reverberate, causing the users voice to sound shallow as if theyre speaking within a cavern. For the first time, Microsoft Teams uses a machine learning model to convert captured audio signal to sound as if users are speaking into a close-range microphone.

A natural element of conversation is the ability to interrupt for clarification or validation. This is accomplished through full-duplex (two-way) transmission of audio, allowing users to speak and hear others at the same time. When not using a headset, and especially when using devices where the speaker and microphone are very close to each other, it is difficult to remove echo while maintaining full-duplex audio. Microsoft Teams uses a model trained with 30,000 hours of speech samples to retain desired voices while suppressing unwanted audio signals resulting in more fluid dialogue.

Each of us has first-hand experience of a meeting disrupted by the unexpected sounds of a barking dog, a car alarm, or a slammed door. Over two years ago, we announced the release of AI-based noise suppression in Microsoft Teams as an optional feature for Windows users. Since then, weve continued a cycle of iterative development, testing, and evaluation to further optimize our model. After recording significant improvements across key user metrics, we have enabled machine learning-based noise suppression as default for Teams customers using Windows (including Microsoft Teams Rooms), as well as Mac and iOS users. A future release of this feature is planned for Teams Android and web clients.

These AI-driven audio enhancements are rolling out and are expected to be generally available in the coming months.

We have also recently released AI-based video and screen sharing quality optimization breakthroughs for Teams. From adjustments for low light to optimizations based on the type of content being shared, we now leverage AI to help you look and present your best.

The impact of presentations can often depend on an audiences ability to read on-screen text or watch a shared video. But different types of shared content require varied approaches to ensure the highest video quality, particularly under bandwidth constraints. Teams now uses machine learning to detect and adjust the characteristics of the content presented in real-time, optimizing the legibility of documents or smoothness of video playback.

Unexpected issues with network bandwidth can lead to a choppy video that can quickly shift the focus of your presentation. AI-driven optimizations in Teams help adjust playback in challenging bandwidth conditions, so presenters can use video and screen sharing worry-free.

Though you cant always control the surrounding lighting for your meetings, new AI-powered filters in Teams give you the option to adjust brightness and add a soft focus for your meetings with a simple toggle in your device settings, to better accommodate for low-light environments.

The past two years have made clear how important communication and collaboration platforms like Microsoft Teams are to maintaining safe, connected, and productive operations. In addition to bringing new features and capabilities to Teams, well continue to explore new ways to use technology to make online calling and meeting experiences more natural, resilient, and efficient.

Visit the Tech Community Teams blog for more technical details about how we leverage AI and machine learning for audio quality improvements as well as video and screen sharing optimization in Microsoft Teams.

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How Microsoft Teams uses AI and machine learning to improve calls and meetings - Microsoft

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Embracing AI And Machine Learning To Survive And Thrive In The World Of Law – Above the Law

As artificial intelligence (AI) and machine learning (ML) continues to become more sophisticated, their profound impact has extended to virtually every industry in the world. The legal profession is no exception, and lawyers who fail to embrace AI and ML may soon find themselves at a disadvantage compared to their colleagues who do.

Lawyers can use AI in many ways to improve their efficiency and productivity. AI can provide indispensable help with managing caseloads, collecting data, researching cases, and more. In addition, AI can be used to serve and advise clients better. And yes, it can help to streamline various processes, including your contracts process. Lets take a closer look at some of the ways AI is changing the legal profession.

Managing Caseloads

One of the most time-consuming and daunting tasks for any lawyer is caseload management. The once-daunting task can be made much easier with the help of AI and ML. There are now AI- and ML-powered legal platforms that can quickly and easily identify relevant cases and documents. In addition, AI and ML adeptly manages deadlines, keeps track of dates, and more.

Collecting Data

Another area where AI and ML can be extremely helpful for lawyers is data collection. This is particularly true in the field of e-discovery and contracts, where AI and ML can sort through large volumes of data much faster than a human ever could. In addition, AI and ML can be used to analyze data in support of making more informed decisions.

Providing Better Client Service and Advice

Perhaps most importantly, AI and ML can help lawyers provide their clients with better service and advice by leveraging big data analytics and other advanced technologies. For example, AI- and ML-powered platforms can quickly identify the best possible strategies for given legal situations by sifting through an unprecedented amount of legal data to spot trends and patterns.

Staying Competitive

Ultimately, the key to thriving as a lawyer in todays digital age is being willing and able to embrace new technologies. Technology and innovation are here to stay. As such, it is crucial for lawyers to not only understand how AI works but also to stay up to date on new advances and developments in this rapidly changing field.

The full scope of the changes that AI and ML will bring to the legal profession is certain to be significant, but, by proactively embracing AI and ML, lawyers can ensure that they remain competitive and relevant despite any changes in the years to come.

As AI and ML continues to transform the legal profession, it is important for lawyers to embrace these changes and use them to their advantage. Whether lawyers turn to AI- and ML-powered platforms for managing caseloads, collecting data, or providing clients with better service and advice, staying up to date on new advances in AI and ML technology is the key to thriving as a lawyer.

The Bottom Line

Its clear that AI and ML is changing the legal profession in a number of ways. Lawyers who incorporate AI into their work will be better positioned to survive and thrive in the years to come. Those who dont may find themselves at a serious disadvantage. Embracing the seemingly endless possibilities of AI and ML technology is a necessary step for lawyers who want to stay competitive in the fast-changing legal landscape.

For more information on how AI and ML can drive lawyers in surviving and thriving in the legal profession, be sure to watch Season 4, Episode 12 of the Legal Talk Network podcast: Why Legal AI Needs Lawyers to Act Now with Wei Chen.

Olga V. Mack is the CEO ofParley Pro, a next-generation contract management company that has pioneered online negotiation technology. Olga embraces legal innovation and had dedicated her career to improving and shaping the future of law. She is convinced that the legal profession will emerge even stronger, more resilient, and more inclusive than before by embracing technology. Olga is also an award-winning general counsel, operations professional, startup advisor, public speaker, adjunct professor, and entrepreneur. She founded theWomen Serve on Boardsmovement that advocates for women to participate on corporate boards of Fortune 500 companies. She authoredGet on Board: Earning Your Ticket to a Corporate Board SeatandFundamentals of Smart Contract Security. You can follow Olga on Twitter @olgavmack.

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Embracing AI And Machine Learning To Survive And Thrive In The World Of Law - Above the Law

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