Anthropic introduced a new subscription tier dubbed Claude for Education on Wednesday. The artificial intelligence (AI) firm said that the plan will include a specialised version of its chatbot aimed at higher education institutions. With this tier, universities can also opt for full campus access that will let students, faculty, and administrative staff use the AI chatbot for their role-specific functions. Students will also get to use a special Learning Mode feature that, instead of providing answers directly, helps them work their way towards the solution.Claude for Education Tier Comes With New FeaturesIn a newsroom post, the San Francisco-based tech giant detailed its new tier. Unlike the company's consumer-focused plans, Claude for Education does not have a fixed subscription price. Just like its enterprise offering, educational institutions can reach out to Anthropic's Education team to get a quote based on the campus size and their needs.One of the main highlights of the subscription tier is a new Learning Mode feature. Accessible within Projects, the new mode is designed to help students develop a deeper understanding of topics and reasoning processes. When a student asks the chatbot an academic question, it takes a guiding role to help the student reach the solution on their own.The mode also focuses on the Socratic line of questioning to help users provide evidence to support their conclusion. Anthropic states that the Learning Mode will enable students to develop their core concepts and provide structured formats for research papers, study guides, and more.Anthropic says faculty can also use Claude to provide students with individualised feedback on essays, create visual assets for learning plans, and generate questions of varying difficulty levels. Similarly, it claims that administrative staff can use the AI chatbot to automate repetitive email responses to common inquiries, analyse enrollment trends, and make processes more efficient.Additionally, Anthropic has also partnered with Internet2, a non-profit organisation that provides secure and cloud solutions, and educational technology company Infrastructure, which has built the educational platform Canvas. The company is working to integrate its AI chatbot into the platform.The AI firm has already struck full campus access plans with Northeastern University, the London School of Economics and Political Science, and Champlain College. The Northestern University is also working with Anthropic to build best practices for AI integration in higher education, new AI-powered education tools, and frameworks for responsible AI adoption in educational settings. For the latest tech news and reviews, follow Gadgets 360 on X, Facebook, WhatsApp, Threads and Google News. For the latest videos on gadgets and tech, subscribe to our YouTube channel. If you want to know everything about top influencers, follow our in-house Who'sThat360 on Instagram and YouTube. Further reading: Anthropic, Claude for Education, AI, Artificial Intelligence Akash Dutta Akash Dutta is a Senior Sub Editor at Gadgets 360. He is particularly interested in the social impact of technological developments and loves reading about emerging fields such as AI, metaverse, and fediverse. In his free time, he can be seen supporting his favourite football club - Chelsea, watching movies and anime, and sharing passionate opinions on food. More Related Stories

Sony Bravia Projector 7 was launched on Wednesday. It is the latest addition to the company's lineup of high-end Silicon X-tal Reflective Display (SXRD) laser projectors. The projector is powered by the Bravia XR Processor which is claimed to enable XR Dynamic Tone Mapping, XR Deep Black, and other features for visually enhancing the images. Sony says Bravia Projector 7 supports video projection in a native 4K resolution and supports IMAX Enhanced content.Sony Bravia Projector 7 FeaturesSony Bravia Projector 7 is equipped with a SXRD panel with a 2,200 lumens lamp which can project content in up to 4K (3,840 x 2,160 pixels) resolution for up to 20,000 hours. It is said to cater to gamers with 4K 120 frames per second (fps) support, an input lag under 12 ms, HDMI 2.1 support, and an ultra-low latency mode. Sony claims that the Bravia Projector 7 has compact and lightweight design, measuring 18.13 x 7.88 x 18.59 inches in terms of dimensions and weighing approximately 13kg.Powered by the Bravia XR Processor, the projector has XR Dynamic Tone Mapping feature which analyses peak brightness frame by frame to deliver optimal tone mapping. Meanwhile, the XR Triluminos Pro algorithm can detect colour metrics such as saturation, hue, and brightness to reproduce natural shades, as per the company. Its Aspect Ratio Scaling mode offers increased flexibility with different cinemascope screens, allowing viewers to switch between 2.35:1 and 16:9 content.The projector also gets an upscaling feature called XR Clear Image which leverages a vast database to recreate lost texture and detail in scenes while minimising noise. As per Sony, it offers 95 percent coverage of the DCI-P3 colour gamut along with dynamic gamma correction and precise colour correction in both HDR and SDR content. For maintaining crisp visuals irrespective of the angle, there are optical lens shift and vertical keystone correction features.Sony says the Bravia Projector 7 is compatible with home automation platforms like Control4, Crestron, Savant, and AMX. Further, it also supports remote monitoring via OvrC and Domotz, enabling consumers to carry out system maintenance and control the projector with a single remote.The company is yet to reveal the pricing and the availability of the Sony Bravia Projector 7.

Machine Learning Interview Question: What is Cross-Validation?3 min readJust now--In this crisp to-the-point interview guide, youll explore:1. What is cross-validation?2. Why is it important?3. Types of cross-validation techniques4. Sample Python Code.5. Common pitfalls to avoid.What is Cross-Validation?Cross-validation is a technique to assess the performance of a machine learning model by splitting the dataset into multiple training and validation sets.The goal is to ensure the model generalizes well to unseen data and avoid overfitting.Formula:If we split the dataset into k subsets (folds), the cross-validation error is computed as:Why is Cross-Validation Important?Reduces overfitting: Ensures the model is not just memorizing data.Improves model selection: Helps compare different algorithms fairly.Efficient use of data: Unlike a simple train-test split, cross-validation utilizes more data for training.Types of Cross-ValidationK-Fold Cross-Validation (Most Common Method)The dataset is split into k subsets (folds).The model is trained on k-1 folds and tested on the remaining fold.This process repeats k times, ensuring each fold is used for testing once.The final performance metric is the average across all k runs.Formula: If X is the dataset, Di is the i-th fold, and M is the model:Example Calculation (K=5)

AI, Ghibli dan Erosi Makna Seni2 min readJust now--Tren AI mengubah gambar ala Ghibli itu memukau, seolah sihir digital yang mampu menyulap dengan sekejap mata. Memang sedap dipandang, mudah dilakukan dan cepat untuk dibagikan. Tapi, tidak ada nyawa di sana. Ghibli lebih dari sekadar gaya visual, melainkan jiwa, emosi dan dedikasi manusia. AI bisa jadi kuas ajaib, tapi orisinalitas tak tergantikan.Di sinilah pertanyaan besar muncul: apakah seni masih punya nilai ketika kreativitas manusia digantikan oleh algoritma?Dalam dunia seni, keindahan tidak hanya berasal dari hasil akhir, tetapi juga proses penciptaan itu sendiri. Menggambar ala Ghibli bukan sekadar meniru guratan kuas, melainkan menyelami filosofi yang mendasari setiap frame. Kesabaran, observasi, dan keterlibatan emosional yang mendalam. Hayao Miyazaki tidak hanya menggambar, ia menuturkan kehidupan lewat gambar-gambarnya.Seni sebagai Pengalaman, Bukan Produk InstanDalam teori budaya, seni bukan sekadar objek visual yang bisa direplikasi tanpa konteks. Pierre Bourdieu, seorang sosiolog Prancis, menekankan konsep habitus atau struktur sosial dan pengalaman yang membentuk pola pikir serta ekspresi seseorang. Dengan kata lain, seni adalah refleksi dari pengalaman hidup seniman.Miyazaki dan Studio Ghibli dikenal dengan esensi budaya Jepang dalam animasi mereka. Detail kecil dalam film-filmnya seperti cara angin bertiup di rerumputan dalam My Neighbor Totoro, ritual minum teh di Spirited Away, atau keheningan reflektif di The Wind Rises, semua itu bukan sekadar visual, tetapi representasi dari cara hidup dan filosofi Jepang.Ketika AI hanya mengambil elemen visual tanpa memahami konteks budaya di baliknya, hasilnya adalah kekosongan makna. Sama seperti lukisan yang hanya dicetak ulang, bukan dibuat dengan tangan dan hati.Jean Baudrillard juga berbicara tentang bagaimana dunia modern telah tenggelam dalam simulacra atau realitas yang telah digantikan oleh representasi yang terlalu banyak direplikasi sehingga kehilangan esensi aslinya. Ketika setiap orang bisa menghasilkan karya seni dengan sekali klik, seni tidak lagi menjadi ekspresi personal, melainkan sekadar produk instan.Para filsuf seni seperti Walter Benjamin dalam esainya The Work of Art in the Age of Mechanical Reproduction sudah lama mengingatkan bahwa seni yang direproduksi tanpa batas akan kehilangan aura-nya. Ada sesuatu yang tak tergantikan dalam karya seni yang diciptakan manusia yaitu ketidaksempurnaan, proses berpikir, dan keterlibatan emosional yang dalam.Miyazaki sendiri pernah menolak animasi yang dibuat AI karena menurutnya tidak punya jiwa. Baginya, setiap goresan pensil adalah bentuk komunikasi antara seniman dan penonton. Tapi ketika AI mengambil alih, hubungan itu terputus.Jika seni dibiarkan menjadi sekadar hasil produksi AI, apakah kita sedang menuju era di mana seniman manusia menjadi tidak relevan?AI dalam seni bukanlah musuh, tetapi kita harus menentukan batasnya. Jika digunakan sebagai alat bantu, AI bisa mempercepat produksi dan membantu eksplorasi visual. Namun, jika digunakan untuk menggantikan seniman, maka berisiko kehilangan sesuatu yang lebih dalam dari sekadar gambar yaitu kemanusiaan dalam seni itu sendiri.Mungkin pertanyaan yang lebih besar bukan hanya tentang Ghibli, tetapi tentang ke mana arah seni modern akan bergerak.Apakah kita masih akan menghargai karya yang lahir dari jiwa manusia Atau kita akan terbiasa dengan seni yang dihasilkan mesin secara indah, cepat, tetapi tanpa nyawa?Bagaimana menurutmu?

Ant Group is relying on Chinese-made semiconductors to train artificial intelligence models to reduce costs and lessen dependence on restricted US technology, according to people familiar with the matter.The Alibaba-owned company has used chips from domestic suppliers, including those tied to its parent, Alibaba, and Huawei Technologies to train large language models using the Mixture of Experts (MoE) method. The results were reportedly comparable to those produced with Nvidias H800 chips, sources claim. While Ant continues to use Nvidia chips for some of its AI development, one sources said the company is turning increasingly to alternatives from AMD and Chinese chip-makers for its latest models.The development signals Ants deeper involvement in the growing AI race between Chinese and US tech firms, particularly as companies look for cost-effective ways to train models. The experimentation with domestic hardware reflects a broader effort among Chinese firms to work around export restrictions that block access to high-end chips like Nvidias H800, which, although not the most advanced, is still one of the more powerful GPUs available to Chinese organisations.Ant has published a research paper describing its work, stating that its models, in some tests, performed better than those developed by Meta. Bloomberg News, which initially reported the matter, has not verified the companys results independently. If the models perform as claimed, Ants efforts may represent a step forward in Chinas attempt to lower the cost of running AI applications and reduce the reliance on foreign hardware.MoE models divide tasks into smaller data sets handled by separate components, and have gained attention among AI researchers and data scientists. The technique has been used by Google and the Hangzhou-based startup, DeepSeek. The MoE concept is similar to having a team of specialists, each handling part of a task to make the process of producing models more efficient. Ant has declined to comment on its work with respect to its hardware sources.Training MoE models depends on high-performance GPUs which can be too expensive for smaller companies to acquire or use. Ants research focused on reducing that cost barrier. The papers title is suffixed with a clear objective: Scaling Models without premium GPUs. [our quotation marks]The direction taken by Ant and the use of MoE to reduce training costs contrast with Nvidias approach. CEO Officer Jensen Huang has said that demand for computing power will continue to grow, even with the introduction of more efficient models like DeepSeeks R1. His view is that companies will seek more powerful chips to drive revenue growth, rather than aiming to cut costs with cheaper alternatives. Nvidias strategy remains focused on building GPUs with more cores, transistors, and memory.According to the Ant Group paper, training one trillion tokens the basic units of data AI models use to learn cost about 6.35 million yuan (roughly $880,000) using conventional high-performance hardware. The companys optimised training method reduced that cost to around 5.1 million yuan by using lower-specification chips.Ant said it plans to apply its models produced in this way Ling-Plus and Ling-Lite to industrial AI use cases like healthcare and finance. Earlier this year, the company acquired Haodf.com, a Chinese online medical platform, to further Ants ambition to deploy AI-based solutions in healthcare. It also operates other AI services, including a virtual assistant app called Zhixiaobao and a financial advisory platform known as Maxiaocai.If you find one point of attack to beat the worlds best kung fu master, you can still say you beat them, which is why real-world application is important, said Robin Yu, chief technology officer of Beijing-based AI firm, Shengshang Tech.Ant has made its models open source. Ling-Lite has 16.8 billion parameters settings that help determine how a model functions while Ling-Plus has 290 billion. For comparison, estimates suggest closed-source GPT-4.5 has around 1.8 trillion parameters, according to MIT Technology Review.Despite progress, Ants paper noted that training models remains challenging. Small adjustments to hardware or model structure during model training sometimes resulted in unstable performance, including spikes in error rates.(Photo by Unsplash)See also: DeepSeek V3-0324 tops non-reasoning AI models in open-source firstWant to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.Explore other upcoming enterprise technology events and webinars powered by TechForge here.

The Tony Blair Institute (TBI) has released a report calling for the UK to lead in navigating the complex intersection of arts and AI.According to the report, titled Rebooting Copyright: How the UK Can Be a Global Leader in the Arts and AI, the global race for cultural and technological leadership is still up for grabs, and the UK has a golden opportunity to take the lead.The report emphasises that countries that embrace change and harness the power of artificial intelligence in creative ways will set the technical, aesthetic, and regulatory standards for others to follow.Highlighting that we are in the midst of another revolution in media and communication, the report notes that AI is disrupting how textual, visual, and auditive content is created, distributed, and experienced, much like the printing press, gramophone, and camera did before it.AI will usher in a new era of interactive and bespoke works, as well as a counter-revolution that celebrates everything that AI can never be, the report states.However, far from signalling the end of human creativity, the TBI suggests AI will open up new ways of being original.The AI revolutions impact isnt limited to the creative industries; its being felt across all areas of society. Scientists are using AI to accelerate discoveries, healthcare providers are employing it to analyse X-ray images, and emergency services utilise it to locate houses damaged by earthquakes.The report stresses that these cross-industry advancements are just the beginning, with future AI systems set to become increasingly capable, fuelled by advancements in computing power, data, model architectures, and access to talent.The UK government has expressed its ambition to be a global leader in AI through its AI Opportunities Action Plan, announced by Prime Minister Keir Starmer on 13 January 2025. For its part, the TBI welcomes the UK governments ambition, stating that if properly designed and deployed, AI can make human lives healthier, safer, and more prosperous.However, the rapid spread of AI across sectors raises urgent policy questions, particularly concerning the data used for AI training. The application of UK copyright law to the training of AI models is currently contested, with the debate often framed as a zero-sum game between AI developers and rights holders. The TBI argues that this framing misrepresents the nature of the challenge and the opportunity before us.The report emphasises that bold policy solutions are needed to provide all parties with legal clarity and unlock investments that spur innovation, job creation, and economic growth.According to the TBI, AI presents opportunities for creatorsnoting its use in various fields from podcasts to filmmaking. The report draws parallels with past technological innovations such as the printing press and the internet which were initially met with resistance, but ultimately led to societal adaptation and human ingenuity prevailing.The TBI proposes that the solution lies not in clinging to outdated copyright laws but in allowing them to co-evolve with technological change to remain effective in the age of AI.The UK government has proposed a text and data mining exception with an opt-out option for rights holders. While the TBI views this as a good starting point for balancing stakeholder interests, it acknowledges the significant implementation and enforcement challenges that come with it, spanning legal, technical, and geopolitical dimensions.In the report, the Tony Blair Institute for Global Change assesses the merits of the UK governments proposal and outlines a holistic policy framework to make it work in practice.The report includes recommendations and examines novel forms of art that will emerge from AI. It also delves into the disagreement between rights holders and developers on copyright, the wider implications of copyright policy, and the serious hurdles the UKs text and data mining proposal faces.Furthermore, the Tony Blair Institute explores the challenges of governing an opt-out policy, implementation problems with opt-outs, making opt-outs useful and accessible, and tackling the diffusion problem. AI summaries and the problems they present regarding identity are also addressed, along with defensive tools as a partial solution and solving licensing problems.The report also seeks to clarify the standards on human creativity, address digital watermarking, and discuss the uncertainty around the impact of generative AI on the industry. It proposes establishing a Centre for AI and the Creative Industries and discusses the risk of judicial review, the benefits of a remuneration scheme, and the advantages of a targeted levy on ISPs to raise funding for the Centre.However, the report has faced strong criticism. Ed Newton-Rex, CEO of Fairly Trained, raised several concerns on Bluesky. These concerns include:The report repeats the misleading claim that existing UK copyright law is uncertain, which Newton-Rex asserts is not the case.The suggestion that an opt-out scheme would give rights holders more control over how their works are used is misleading. Newton-Rex argues that licensing is currently required by law, so moving to an opt-out system would actually decrease control, as some rights holders will inevitably miss the opt-out.The report likens machine learning (ML) training to human learning, a comparison that Newton-Rex finds shocking, given the vastly different scalability of the two.The reports claim that AI developers wont make long-term profits from training on peoples work is questioned, with Newton-Rex pointing to the significant funding raised by companies like OpenAI.Newton-Rex suggests the report uses strawman arguments, such as stating that generative AI may not replace all human paid activities.A key criticism is that the report omits data showing how generative AI replaces demand for human creative labour.Newton-Rex also criticises the reports proposed solutions, specifically the suggestion to set up an academic centre, which he notes no one has asked for.Furthermore, he highlights the proposal to tax every household in the UK to fund this academic centre, arguing that this would place the financial burden on consumers rather than the AI companies themselves, and the revenue wouldnt even go to creators.Adding to these criticisms, British novelist and author Jonathan Coe noted that the five co-authors of this report on copyright, AI, and the arts are all from the science and technology sectors. Not one artist or creator among them.While the report from Tony Blair Institute for Global Change supports the governments ambition to be an AI leader, it also raises critical policy questionsparticularly around copyright law and AI training data.(Photo by Jez Timms)See also: Amazon Nova Act: A step towards smarter, web-native AI agentsWant to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.Explore other upcoming enterprise technology events and webinars powered by TechForge here.The post Tony Blair Institute AI copyright report sparks backlash appeared first on AI News.

For all the hype surrounding the Switch 2, Nintendo has stirred controversy with its pricing for dedicated versions of titles like The Legend of Zelda: Breath of the Wild, Tears of the Kingdom, Kirby and the Forgotten Land, and Super Mario Party Jamboree. While current owners can upgrade to the Switch 2 Editions, Nintendo has confirmed at least one other avenue. Nintendo Switch Online + Expansion Pack subscribers can get the upgrade packs for The Legend of Zelda: Breath of the Wild and Tears of the Kingdom at no added cost. Once again, you must own the Switch 1 versions of each game, but as long as youre subscribed, their upgrades will remain playable on the Nintendo Switch 2. Another benefit for Expansion Pack subscribers is access to GameCube titles like The Legend of Zelda: The Wind Waker, Soulcalibur 2 and F-Zero GX. These are exclusively playable on the Switch 2, with other titles like Luigis Mansion, Super Mario Sunshine, Pokemon XD: Gale of Darkness, and Super Mario Strikers coming later.

South Korean company Hybe Interactive Media (IM) has received a new investment of approximately $21 million (30 billion in won) for its young gaming business.Hybe IM cites its potential to expand as a game business through using parent company Hybes K-pop artist IPs, as well as anticipation for its games Architect: Land of Exile and Arkheron, as key drivers for the new investment. The company says funds will be primarily used for marketing, operations and localization strategies for the launch and live service of Hybe games.This latest round of funding for the Hybe-owned entity comes on the heels of a roughly $80 million strategic investment Hybe IM received in August 2024. In total, Hybe IM has now raised approximately $100 million from backers including IMM Investment, Shinhan Venture Investment and Daesung Private Equity.Related StoriesSince launching in 2021, Hybe IM has found success with its earliest titles like Rhythm Hive and BTS Island: In the SEOM, followed by a quickly growing lineup that includes publishing contracts for Macovills OZ Re:write and Flints ASTRA: Knights of Veda.Popular on VarietyPer the company, Hybe IM remains committed to building a sustainable gaming ecosystem, prioritizing the stable operation and growth of its titles through its global publishing expertise.This additional funding marks a pivotal moment in strengthening Hybe IMs global competitiveness in both game publishing and development, Hybe IM president Wooyong Chung said. We aim to evolve beyond IP-based gaming and become a next-generation publisher delivering compelling content to gamers worldwide.Hybe IM is one of Hybes multiple subsidiaries, including Big Hit Music, Belift Lab, Source Music, Pledis Entertainment, KOZ Entertainment and ADOR.

Roblox is launching a rewarded video ads product that will be available through a new programmatic partnership with Googles advertising solutions, as well as a direct buy option.Per the gaming platform, rewarded video ads enable users to opt in and watch up to 30-second full-screen video ads within immersive Roblox games and experiences. In return, users receive in-game benefits from the creators of these games and experiences, also known as the ad publishers.According to Roblox, early tests show an average completion on rewarded video ads of more than 80%, with select experiences seeing completion rates over 90% as users saw the value in rewards, such as power-ups or in-game currency, and considered these ads additive to their overall experience.Related StoriesRoblox boasted85.3 milliondaily active users (DAUs) at the conclusion of 2024. The company says tens of millions of those users are in the Gen Z demographic, the main target for the rewarded video ad content.Popular on VarietyAdvertisers that use Googles media buying tools will be able to measure performance of their rewarded video and other immersive ads on Roblox. Third-party measurement companies also working with Roblox on its new video product include DoubleVerify, IAS, Cint, Kantar and Nielsen ONE Ads.This new format is a win-win-win for brands, creators, and users, and weve been excited by the early results of our tests which have proven this out, Roblox vice president of global brand partnerships and advertising Stephanie Latham said. Our partnership with Google makes it very easy to buy these engaging ads and reach key audiences at scale. We are continuing to remove barriers for brands and agencies that are quickly realizing the massive potential of immersive gaming platforms like Roblox where Gen Z are increasingly spending their time.