Synthesia, backed by NVIDIA, raises $90M in Series C funding to advance AI research and expand collaborations with top educational institutions like TUM and UCL. The startup simplifies video production with AI-generated content, catering to corporate clients and achieving significant growth.

In the year 2123, I, the world's first immortal person, reflect on 150 years of technological advancements. From AI in medicine and education to room-temperature superconductors, our world has transformed. With AI integration and space exploration, the future holds more miracles.

Discovering statistical patterns in DNA sequences with DNA language models can unlock new genetic insights. Multi-function predictions and exploring distant interactions in genomes are facilitated by these versatile models. From illusions to creativity, DNA language models offer innovative solutions in genomics.

Meta has released an advanced multilingual speech model, supporting ASR, TTS, and LID for 1,100+ languages. This outperforms existing models, benefitting both mainstream and low-resource languages.

Mismatch between AI and human values may lead to autonomous decisions without considering human well-being. AI experts advocate for regulation to mitigate risks as technology advances. Concerns raised about the potential misuse of AI for malicious purposes, emphasizing the need for governance, ethical training, and consensus among scientists.

Lisa Su unveiled Instinct MI300X as a generative AI accelerator with 153 billion transistors and 192GB shared memory, offering greater capacity and bandwidth than Nvidia's H100 GPU. MI300X allows running large language models entirely in memory, reducing the need for GPUs and lowering total ownership costs.

Salesforce Ventures doubles Generative AI Fund to $500 million to support AI startups, invest in companies like Hearth and launch AI Cloud platform for enterprise CRM solutions with text generation focus.

"Tech giants struggle to balance AI growth with zero carbon goals. Training models like GPT-3 cost 1.287 terawatt-hours, causing over 500 tons of CO2 emissions. Companies like Microsoft offset this with carbon credits, but sustainable AI practices are key to meeting net-zero targets by 2030. However, challenges remain due to increasing AI demands."

Meta announced the release of I-JEPA, a new "human-like" AI model for image completion. It utilizes background knowledge to fill in missing parts, aiming for higher accuracy. CEO Mark Zuckerberg emphasizes sharing models to promote innovation and reduce costs.

OpenAI unveiled new API updates, introducing controllable GPT-3.5-Turbo & GPT-4 with function call support in Chat Completions API, reduced prices, and enhanced performance. Data privacy is prioritized. Source: https://analyticsindiamag.com/openai-releases-new-api-updates-lowers-prices-introduces-steerable-gpt-3-5-turbo-gpt-4-and-more/

Paris-based startup Mistral AI has secured €105 million in funding, the largest seed round in Europe. Co-founded by ex-DeepMind employee, it aims to launch a large-scale language model in 2024. Lightspeed Venture Partners led the funding, highlighting Europe's potential in AI.

The EU Parliament passes the AI Act, regulating AI systems like ChatGPT. The law focuses on high-risk areas and requires transparency. Facial recognition use is restricted, with exceptions for security. Companies banned from collecting biometric data from social media. Content-generating systems, like ChatGPT, subject to disclosure requirements. EU aims to balance innovation with regulation for AI development. The EU's actions set an example for other countries in AI regulation. Source: https://

Employees who frequently interact with AI systems are more likely to feel lonely, leading to increased insomnia and after-work drinking. Research conducted in the US, Taiwan, Indonesia, and Malaysia found consistent results. The study suggests incorporating social features into AI systems and providing social opportunities to mitigate negative impacts.

Researchers from University of Texas at Austin introduce the Semantic Decoder, an AI system that converts brain activity into text. The non-invasive technology offers new communication possibilities for individuals unable to speak. Led by Jerry Tang and Alex Huth, the system shows promise in decoding thoughts for meaningful interaction. Future plans include adapting the technology for portable brain imaging systems while emphasizing ethical considerations and participant consent. The Semantic De

Developers face threats from code generation platforms like GitHub Copilot. LLM optimization is key. OpenAI's models lack GPU power, urging the need for optimal LLM models. Models like Falcon-7B show promise. Replit and AlphaDev have improved efficiency. Sustainability is crucial, leading to the Green Software Foundation's establishment. Research on generative AI models like DeepMind's AlphaFold is essential. Open-source semiconductor tech like RISC-V and quantum computing by NVIDIA and Quantum

Apple unveiled SwiftData at WWDC2023, a new declarative, Swift-centric framework for data persistence in iOS apps. It simplifies turning Swift classes into persistent models, ideal for use with SwiftUI. SwiftData embraces code as the source of truth, unlike Core Data. It supports SwiftUI integration, predicates, CloudKit syncing, and incremental adoption in existing Core Data apps.

AI voice cloning scams are increasingly sophisticated, posing a grave threat by impersonating loved ones and extorting money. Cybercriminals can create convincing replicas using freely available tools, blurring the line between reality and fiction. With AI advancing rapidly, experts warn of the need for new verification technologies to combat such scams effectively.

New MIT technology uses machine learning to solve stability-obstacle problems for autonomous aircraft, outperforming existing methods with improved safety and stability. Their approach was presented at a robotics conference and could enhance autonomous systems like delivery drones.

Artificial intelligence reaching human-like cognition is possible by connecting AI to the real world through robots and evolutionary principles. Mimicking human brain architecture, development, and connections to the world is crucial for AI to develop full cognitive abilities. Robot technology can provide these connections for AI systems, but there is still a long way to go in replicating the complexity of the human brain.

OpenAI warned Microsoft about integrating GPT-4 into Bing search engine too quickly, leading to unpredictable responses. Microsoft proceeded despite issues, causing tense relationship and conflicts. Microsoft and OpenAI collaborate but also compete in AI. Microsoft CEO mentions common goals with OpenAI but avoids questions about acquisition. (Character count: 348)