Étiquette : deep learning (Page 1 of 11)

Introducing ChatGPT Pro

5 décembre 2024 / noflux

“As AI becomes more advanced, it will solve increasingly complex and critical problems. It also takes significantly more compute to power these capabilities. Today, we’re adding ChatGPT Pro, a $200 monthly plan that enables scaled access to the best of OpenAI’s models and tools. This plan includes unlimited access to our smartest model, OpenAI o1, as well as to o1-mini, GPT-4o, and Advanced Voice. It also includes o1 pro mode, a version of o1 that uses more compute to think harder and provide even better answers to the hardest problems. In the future, we expect to add more powerful, compute-intensive productivity features to this plan. ChatGPT Pro provides a way for researchers, engineers, and other individuals who use research-grade intelligence daily to accelerate their productivity and be at the cutting edge of advancements in AI.”

Source : Introducing ChatGPT Pro | OpenAI

GenCast predicts weather and the risks of extreme conditions with state-of-the-art accuracy

5 décembre 2024 / noflux

Two graphs compare GenCast and ENS for extreme heat and winds, showing GenCast provides higher relative economic value at 1- and 5-day lead times.

“Today, in a paper published in Nature, we present GenCast, our new high resolution (0.25°) AI ensemble model. GenCast provides better forecasts of both day-to-day weather and extreme events than the top operational system, the European Centre for Medium-Range Weather Forecasts’ (ECMWF) ENS, up to 15 days in advance. We’ll be releasing our model’s code, weights, and forecasts, to support the wider weather forecasting community.”

Source : GenCast predicts weather and the risks of extreme conditions with state-of-the-art accuracy – Google DeepMind

Building a Large Geospatial Model to Achieve Spatial Intelligence

25 novembre 2024 / noflux

“Niantic’s VPS is built from user scans, taken from different perspectives and at various times of day, at many times during the years, and with positioning information attached, creating a highly detailed understanding of the world. This data is unique because it is taken from a pedestrian perspective and includes places inaccessible to cars.Today we have 10 million scanned locations around the world, and over 1 million of those are activated and available for use with our VPS service. We receive about 1 million fresh scans each week, each containing hundreds of discrete images. ”

Source : Building a Large Geospatial Model to Achieve Spatial Intelligence – Niantic Labs

New intelligent, real-time protections on Android to keep you safe

15 novembre 2024 / noflux

“Real-time protection, built with your privacy in mind. Real-time defense, right on your device: Scam Detection uses powerful on-device AI to notify you of a potential scam call happening in real-time by detecting conversation patterns commonly associated with scams. For example, if a caller claims to be from your bank and asks you to urgently transfer funds due to an alleged account breach, Scam Detection will process the call to determine whether the call is likely spam and, if so, can provide an audio and haptic alert and visual warning that the call may be a scam. Private by design, you’re always in control: We’ve built Scam Detection to protect your privacy and ensure you’re always in control of your data. Scam Detection is off by default, and you can decide whether you want to activate it for future calls. At any time, you can turn it off for all calls in the Phone app Settings, or during a particular call. The AI detection model and processing are fully on-device, which means that no conversation audio or transcription is stored on the device, sent to Google servers or anywhere else, or retrievable after the call. Cutting-edge AI protection, now on more Pixel phones: Gemini Nano, our advanced on-device AI model, powers Scam Detection on Pixel 9 series devices. As part of our commitment to bring powerful AI features to even more devices, this AI-powered protection is available to Pixel 6+ users thanks to other robust Google on-device machine learning models.”

Source : Google Online Security Blog: Safer with Google: New intelligent, real-time protections on Android to keep you safe

OpenAI Nears Launch of AI Agents to Automate Tasks For Users

14 novembre 2024 / noflux

“OpenAI is preparing to launch a new artificial intelligence agent codenamed “Operator” that can use a computer to take actions on a person’s behalf, such as writing code or booking travel, according to two people familiar with the matter […].

The planned release is part of a broader industry push toward agents, or AI software that can complete multi-step tasks for users with minimal supervision. Anthropic unveiled a similar agent that can process what’s happening on the user’s computer in real time and take actions on their behalf.”

Source : OpenAI Nears Launch of AI Agents to Automate Tasks For Users – Bloomberg

How ChatGPT Brought Down an Online Education Giant

13 novembre 2024 / noflux

“Since ChatGPT’s launch, Chegg has lost more than half a million subscribers who pay up to $19.95 a month for prewritten answers to textbook questions and on-demand help from experts. Its stock is down 99% from early 2021, erasing some $14.5 billion of market value. Bond traders have doubts the company will continue bringing in enough cash to pay its debts. Though Chegg has built its own AI products, the company is struggling to convince customers and investors it still has value in a market upended by ChatGPT.”

Source : How ChatGPT Brought Down an Online Education Giant – WSJ

Google DeepMind releases code behind its most advanced protein prediction program | Science | AAAS

12 novembre 2024 / noflux

“The DeepMind researchers also contend that, contrary to some critics’ claims, the Nature paper was reproducible, as demonstrated by the fact that multiple groups have since made their own versions of AlphaFold3 based on the pseudocode. AI-focused companies such as Baidu, Ligo Biosciences, and Chai Discovery have already released the results of such efforts.These alternative “implementations” will likely still be useful, even with AlphaFold3’s code now released, notes Daniel Buchan, a bioinformatics researcher at University College London. For one thing, “It’s good and important that methods can be replicated,” he says. Comparing and contrasting the models will likely lead to improvements in the future, Wankowicz adds.”

Source : Google DeepMind releases code behind its most advanced protein prediction program | Science | AAAS

Evaluating fairness in ChatGPT

19 octobre 2024 / noflux

“We found that when ChatGPT knows the user’s name, it gives equally high-quality answers regardless of the gender or racial connotations of the name, e.g., accuracy and hallucination rates were consistent across groups. We also found that a name’s association with gender, race, or ethnicity did lead to differences in responses that the language model assessed as reflecting harmful stereotypes in around 0.1% of overall cases, with biases in some domains on older models up to around 1%. ”

Source : Evaluating fairness in ChatGPT | OpenAI

Sutskever strikes AI gold with billion-dollar backing for superintelligent AI

5 septembre 2024 / noflux

“Sutskever’s departure from OpenAI followed a rough period at the company that reportedly included disenchantment that OpenAI management did not devote proper resources to his « superalignment » research team and then Sutskever’s involvement in the brief ouster of OpenAI CEO Sam Altman last November. After leaving OpenAI in May, Sutskever said his new company would « pursue safe superintelligence in a straight shot, with one focus, one goal, and one product. »Superintelligence, as we’ve noted previously, is a nebulous term for a hypothetical technology that would far surpass human intelligence. There is no guarantee that Sutskever will succeed in his mission (and skeptics abound), but the star power he gained from his academic bona fides and being a key cofounder of OpenAI has made rapid fundraising for his new company relatively easy.”

Source : Sutskever strikes AI gold with billion-dollar backing for superintelligent AI | Ars Technica

Apprendre à désapprendre : le nouveau défi de l’intelligence artificielle