Google is implementing an internal reorganization that combines its Android and hardware teams. Google CEO Sundar Pichai announced a new Platforms & Devices team headed by Rick Osterloh, which includes Android, Chrome, ChromeOS, Photos and all Pixel products. Pichai says the move will help speed development. Osterloh’s mandate is full-stack platform development that smoothly incorporates AI across all Google platforms, including smartphones, TVs and anything with Android OS. Hiroshi Lockheimer, who previously ran ops for Android, Chrome and ChromeOS, moves on to other projects at Google and Alphabet. Continue reading Google Merges Android and Hardware Units for AI Efficiency

Google is closing the year by heralding 2024 as the “Gemini era,” with the introduction of its “most capable and general AI model yet,” Gemini 1.0. This new foundation model is optimized for three different use-case sizes: Ultra, Pro and Nano. As a result, Google is releasing a new, Gemini-powered version of its Bard chatbot, available to English speakers in the U.S. and 170 global regions. Google touts Gemini as built from the ground up for multimodality, reasoning across text, images, video, audio and code. However, Bard will not as yet incorporate Gemini’s ability to analyze sound and images. Continue reading Google Announces the Launch of Gemini, Its Largest AI Model

Google DeepMind and Google Cloud have teamed to launch what they claim is an indelible AI watermark tool, which if it works would mark an industry first. Called SynthID, the technique for identifying AI-generated images is being launched in beta. The technology embeds its digital watermark “directly into the pixels of an image, making it imperceptible to the human eye, but detectable for identification,” according to DeepMind. SynthID is being released to a limited number of Google’s Vertex AI customers using Imagen, a Google AI language model that generates photorealistic images. Continue reading Google Introduces an AI Watermark That Cannot Be Removed

Mitigating the risk of extinction due to AI must should be as much a global priority as pandemics and nuclear war, according to the non-profit Center for AI Safety, which this week released a warning that artificial intelligence systems may pose an existential threat to humanity. Among the more than 350 executives, researchers and engineers who signed the statement are the CEOs of three leading AI firms: OpenAI’s Sam Altman, Google DeepMind’s Demis Hassabis and Anthropic’s Dario Amodei. The statement comes as rapid advancements in large language models raise fears of societal disruption through job loss and widespread misinformation. Continue reading Industry Leaders Caution That AI Presents ‘Risk of Extinction’

In a move it sees as a force multiplier, Alphabet is consolidating DeepMind and the Brain team from Google Research into a unit called Google DeepMind, uniting the teams responsible for Google Brain with DeepMind, the UK-based artificial intelligence research lab acquired in 2014. Collective accomplishments include AlphaGo, Transformers, WaveNet and AlphaFold, as well as software frameworks like TensorFlow and JAX for expressing, training and deploying large scale ML models. “Combining all this talent into one focused team, backed by the computational resources of Google, will significantly accelerate our progress in AI,” the company announced. Continue reading Google Restructures AI Research Units into Google DeepMind

The Federal Trade Commission is investigating the purchase of hundreds of small startups made by Big Tech companies Amazon, Apple, Facebook, Google and Microsoft to determine if they have become too powerful. In 2019, a record-breaking 231 artificial intelligence startups were snapped up, which in many cases ended public availability of their products. According to CB Insights, that number compares to 42 AI startups acquired in 2014. Apple has been the No. 1 buyer of these startups since 2010. Continue reading Big Tech Companies Acquire Significant Number of AI Startups

Microsoft will begin providing customers of its Azure cloud platform with chips made by U.K. startup Graphcore, with the goal of speeding up the computations for artificial intelligence projects. Graphcore, founded in Bristol in 2016, has attracted several hundred million dollars in investment and the attention of many AI researchers. Microsoft invested in Graphcore last December, with the hope of making its cloud services more compelling. Graphcore’s chips have not previously been available publicly. Continue reading Microsoft Pairs Azure Cloud Platform, Graphcore AI Chips

Although up until now, augmented reality has had an inauspicious debut — think Google Glass — it’s poised to transform how we interact with computers in the next two decades. AR now has technical limitations including a narrow field of view, less-than-ideal resolution and latency issues. Furthermore, the only way to interact with AR is via bulky glasses or helmets. But many experts believe that we are in the midst of a speedy evolution to the point where AR will enable us to project a virtual screen on every surface. Continue reading Augmented Reality and Artificial Intelligence Shaping the Future

Elon Musk and Stephen Hawking are among thousands of individuals pushing for a worldwide ban on autonomous weaponry and military robots. They warn that while use of such weapons could reduce military causalities, they could also set off a global arms race and end up in the hands of terrorists and warlords. Military robots are viewed as more dangerous than drones because they can search for and engage targets without remote direction from people, and are easier and cheaper to mass produce than nuclear weapons. Continue reading Tech Leaders and Researchers Call for Ban on Military Robots